On the public citation graph
Artificial Neural Network Algorithms for 3D Printing
0 signed · 282 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/pat.3960openalex-snapshot
Experimental study on the 3D‐printed plastic parts and predicting the mechanical properties using artificial neural networks
inferredcites →https://doi.org/10.1007/978-3-031-02165-7openalex-snapshot
Neural Network Methods for Natural Language Processing
inferredcites →https://doi.org/10.1007/978-3-319-30249-2_18openalex-snapshot
A Neural Network Approach to 3D Printed Surrogate Systems
inferredcites →https://doi.org/10.1007/978-3-540-28648-6_133openalex-snapshot
Density Prediction of Selective Laser Sintering Parts Based on Artificial Neural Network
inferredcites →https://doi.org/10.1007/s00170-008-1669-0openalex-snapshot
Optimizing process parameters for selective laser sintering based on neural network and genetic algorithm
inferredcites →https://doi.org/10.1007/s00170-019-03363-4openalex-snapshot
Deep learning–based stress prediction for bottom-up SLA 3D printing process
inferredcites →https://doi.org/10.1007/s00170-020-06047-6openalex-snapshot
Estimation of clad geometry and corresponding residual stress distribution in laser melting deposition: analytical modeling and experimental correlations
inferredcites →https://doi.org/10.1007/s00170-020-06191-zopenalex-snapshot
Effects of roll pattern and reduction ratio on optical characteristics of A1008 cold–rolled steel specimens: analytical approach and experimental correlations
inferredcites →https://doi.org/10.1007/s10845-012-0682-1openalex-snapshot
Bead geometry prediction for robotic GMAW-based rapid manufacturing through a neural network and a second-order regression analysis
inferredcites →https://doi.org/10.1007/s10845-018-1451-6openalex-snapshot
A deep neural network for classification of melt-pool images in metal additive manufacturing
inferredcites →https://doi.org/10.1007/s11434-014-0579-9openalex-snapshot
Visualization of the complex structure and stress field inside rock by means of 3D printing technology
inferredcites →https://doi.org/10.1007/s11665-018-3690-2openalex-snapshot
In Situ Quality Monitoring in AM Using Acoustic Emission: A Reinforcement Learning Approach
inferredcites →https://doi.org/10.1007/s11837-019-03761-9openalex-snapshot
Methods for Rapid Pore Classification in Metal Additive Manufacturing
inferredcites →https://doi.org/10.1016/0925-2312(94)00013-iopenalex-snapshot
Optimal design of neural networks using the Taguchi method
inferredcites →https://doi.org/10.1016/b0-08-043152-6/00454-xopenalex-snapshot
Electroceramics: Rapid Prototyping
inferredcites →https://doi.org/10.1016/b978-0-08-102663-2.00002-2openalex-snapshot
3D printing of metals in rapid prototyping of biomaterials: Techniques in additive manufacturing
inferredcites →https://doi.org/10.1016/b978-0-12-812155-9.00002-5openalex-snapshot
Additive manufacturing processes and equipment
inferredcites →https://doi.org/10.1016/j.actamat.2016.07.019openalex-snapshot
Additive manufacturing of metals
inferredcites →https://doi.org/10.1016/j.actamat.2016.11.018openalex-snapshot
Prediction of microstructure in laser powder bed fusion process
inferredcites →https://doi.org/10.1016/j.addma.2015.07.002openalex-snapshot
An overview of Direct Laser Deposition for additive manufacturing; Part II: Mechanical behavior, process parameter optimization and control
inferredcites →https://doi.org/10.1016/j.addma.2017.02.005openalex-snapshot
Three-dimensional finite element thermomechanical modeling of additive manufacturing by selective laser melting for ceramic materials
inferredcites →https://doi.org/10.1016/j.addma.2017.10.018openalex-snapshot
Optimization of process parameters for reducing warpage in selected laser sintering of polymer parts
inferredcites →https://doi.org/10.1016/j.addma.2017.11.009openalex-snapshot
Anomaly detection and classification in a laser powder bed additive manufacturing process using a trained computer vision algorithm
inferredcites →https://doi.org/10.1016/j.addma.2017.11.012openalex-snapshot
Acoustic emission for in situ quality monitoring in additive manufacturing using spectral convolutional neural networks
inferredcites →https://doi.org/10.1016/j.addma.2018.09.034openalex-snapshot
A multi-scale convolutional neural network for autonomous anomaly detection and classification in a laser powder bed fusion additive manufacturing process
inferredcites →https://doi.org/10.1016/j.addma.2018.11.010openalex-snapshot
Using machine learning to identify in-situ melt pool signatures indicative of flaw formation in a laser powder bed fusion additive manufacturing process
inferredcites →https://doi.org/10.1016/j.addma.2019.05.031openalex-snapshot
Binder jetting: A review of process, materials, and methods
inferredcites →https://doi.org/10.1016/j.addma.2020.101183openalex-snapshot
Unraveling pore evolution in post-processing of binder jetting materials: X-ray computed tomography, computer vision, and machine learning
inferredcites →https://doi.org/10.1016/j.asoc.2015.11.011openalex-snapshot
Optimal design of a 3D-printed scaffold using intelligent evolutionary algorithms
inferredcites →https://doi.org/10.1016/j.cad.2015.12.003openalex-snapshot
Towards an automated robotic arc-welding-based additive manufacturing system from CAD to finished part
inferredcites →https://doi.org/10.1016/j.ceramint.2020.07.053openalex-snapshot
Modeling and visualization of layered curing conversion profile in ceramic mask projection stereolithography process
inferredcites →https://doi.org/10.1016/j.cirpj.2011.08.003openalex-snapshot
An investigation on sliding wear of FDM built parts
inferredcites →https://doi.org/10.1016/j.cma.2017.11.030openalex-snapshot
Dynamic thermomechanical modeling and simulation of the design of rapid free-form 3D printing processes with evolutionary machine learning
inferredcites →https://doi.org/10.1016/j.compbiomed.2017.08.022openalex-snapshot
A deep convolutional neural network model to classify heartbeats
inferredcites →https://doi.org/10.1016/j.eml.2017.10.001openalex-snapshot
De novo composite design based on machine learning algorithm
inferredcites →https://doi.org/10.1016/j.enbuild.2017.11.045openalex-snapshot
Prediction of wind pressure coefficients on building surfaces using artificial neural networks
inferredcites →https://doi.org/10.1016/j.eng.2017.05.011openalex-snapshot
A Multiscale Understanding of the Thermodynamic and Kinetic Mechanisms of Laser Additive Manufacturing
inferredcites →https://doi.org/10.1016/j.eng.2019.03.014openalex-snapshot
Data-Driven Microstructure and Microhardness Design in Additive Manufacturing Using a Self-Organizing Map
inferredcites →https://doi.org/10.1016/j.eng.2019.04.012openalex-snapshot
Applying Neural-Network-Based Machine Learning to Additive Manufacturing: Current Applications, Challenges, and Future Perspectives
inferredcites →https://doi.org/10.1016/j.heliyon.2018.e00938openalex-snapshot
State-of-the-art in artificial neural network applications: A survey
inferredcites →https://doi.org/10.1016/j.isatra.2018.07.021openalex-snapshot
In situ monitoring of selective laser melting using plume and spatter signatures by deep belief networks
inferredcites →https://doi.org/10.1016/j.jallcom.2019.04.017openalex-snapshot
Influence of re-melting on surface roughness and porosity of AlSi10Mg parts fabricated by selective laser melting
inferredcites →https://doi.org/10.1016/j.jare.2011.05.001openalex-snapshot
Experimental investigation and empirical modelling of FDM process for compressive strength improvement
inferredcites →https://doi.org/10.1016/j.jmatprotec.2004.07.090openalex-snapshot
Numerical simulation of deposition process for a new 3DP printhead design
inferredcites →https://doi.org/10.1016/j.jmatprotec.2019.116452openalex-snapshot
A multimaterial based on metallic copper and spinel oxide made by powder bed laser fusion: A new nanostructured material for inert anode dedicated to aluminum electrolysis
inferredcites →https://doi.org/10.1016/j.jmatprotec.2019.116554openalex-snapshot
Effect of fractal parameters on optical properties of cold rolled aluminum alloy strips with induced surface deflection: Simulations and experimental correlations
inferredcites →https://doi.org/10.1016/j.jmsy.2018.04.003openalex-snapshot
In-situ droplet inspection and closed-loop control system using machine learning for liquid metal jet printing
inferredcites →https://doi.org/10.1016/j.jmsy.2019.01.004openalex-snapshot
Machine learning for continuous liquid interface production: Printing speed modelling
inferredcites →https://doi.org/10.1016/j.jmsy.2019.02.005openalex-snapshot
From in-situ monitoring toward high-throughput process control: cost-driven decision-making framework for laser-based additive manufacturing
inferredcites →https://doi.org/10.1016/j.matdes.2016.01.099openalex-snapshot
Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing
inferredcites →https://doi.org/10.1016/j.matdes.2016.09.043openalex-snapshot
Effect of manufacturing parameters on mechanical properties of 316L stainless steel parts fabricated by selective laser melting: A computational framework
inferredcites →https://doi.org/10.1016/j.matdes.2018.07.002openalex-snapshot
Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring
inferredcites →https://doi.org/10.1016/j.mattod.2017.11.004openalex-snapshot
Dislocation network in additive manufactured steel breaks strength–ductility trade-off
inferredcites →https://doi.org/10.1016/j.mechmat.2020.103628openalex-snapshot
An accurate finite element approach for programming 4D-printed self-morphing structures produced by fused deposition modeling
inferredcites →https://doi.org/10.1016/j.mfglet.2018.01.002openalex-snapshot
Efficient numerical modeling of 3D-printed lattice-cell structures using neural networks
inferredcites →https://doi.org/10.1016/j.neucom.2005.06.014openalex-snapshot
Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering
inferredcites →https://doi.org/10.1016/j.procir.2014.01.098openalex-snapshot
Analysis of Laser Cladding Bead Morphology for Developing Additive Manufacturing Travel Paths
inferredcites →https://doi.org/10.1016/j.promfg.2020.10.104openalex-snapshot
Single and multi-objective optimization of FDM-based additive manufacturing using metaheuristic algorithms
inferredcites →https://doi.org/10.1016/j.prostr.2020.06.017openalex-snapshot
Experimental investigation and statistical modelling for assessing the tensile properties of FDM fabricated parts
inferredcites →https://doi.org/10.1016/j.rcim.2015.12.004openalex-snapshot
Bead modelling and implementation of adaptive MAT path in wire and arc additive manufacturing
inferredcites →https://doi.org/10.1016/s0031-3203(99)00096-5openalex-snapshot
A novel fuzzy logic approach to contrast enhancement
inferredcites →https://doi.org/10.1016/s0278-6125(00)88887-1openalex-snapshot
Determining optimal parameters for stereolithography processes via genetic algorithm
inferredcites →https://doi.org/10.1016/s1352-2310(97)00447-0openalex-snapshot
Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences
inferredcites →https://doi.org/10.1023/b:apin.0000033632.42843.17openalex-snapshot
Neural Learning from Unbalanced Data
inferredcites →https://doi.org/10.1038/323533a0openalex-snapshot
Learning representations by back-propagating errors
inferredcites →https://doi.org/10.1039/c8mh00653aopenalex-snapshot
Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment
inferredcites →https://doi.org/10.1039/c8ra03194kopenalex-snapshot
A review on additive manufacturing and its way into the oil and gas industry
inferredcites →https://doi.org/10.1080/02670836.2017.1289444openalex-snapshot
Influence of energy density on metallurgy and properties in metal additive manufacturing
inferredcites →https://doi.org/10.1080/07408178808966177openalex-snapshot
An Overview of the Strategy and Tactics of Taguchi
inferredcites →https://doi.org/10.1080/16864360.2018.1462574openalex-snapshot
Manufacturability analysis for additive manufacturing using a novel feature recognition technique
inferredcites →https://doi.org/10.1080/17452759.2019.1692673openalex-snapshot
Multi-objective optimisation of bio-inspired lightweight sandwich structures based on selective laser melting
inferredcites →https://doi.org/10.1080/17452759.2019.1698967openalex-snapshot
Microstructure evolution and mechanical property response via 3D printing parameter development of Al–Sc alloy
inferredcites →https://doi.org/10.1088/2053-1591/abc8bdopenalex-snapshot
Wear assessment of 3–D printed parts of PLA (polylactic acid) using Taguchi design and Artificial Neural Network (ANN) technique
inferredcites →https://doi.org/10.1108/01445151211244375openalex-snapshot
Development of a design feature database to support design for additive manufacturing
inferredcites →https://doi.org/10.1108/13552540010373344openalex-snapshot
Feedstock material property – process relationships in fused deposition of ceramics (FDC)
inferredcites →https://doi.org/10.1108/rpj-03-2016-0041openalex-snapshot
A hybrid machine learning approach for additive manufacturing design feature recommendation
inferredcites →https://doi.org/10.1108/rpj-08-2012-0072openalex-snapshot
State-of-the-art in empirical modelling of rapid prototyping processes
inferredcites →https://doi.org/10.1109/iciecs.2009.5362683openalex-snapshot
Modeling and Applying of RBF Neural Network Based on Fuzzy Clustering and Pseudo-Inverse Method
inferredcites →https://doi.org/10.1109/lawp.2018.2857807openalex-snapshot
A 3-D-Printed W-Band Slotted Waveguide Array Antenna Optimized Using Machine Learning
inferredcites →https://doi.org/10.1109/tnn.2006.887556openalex-snapshot
Self-Organizing and Self-Evolving Neurons: A New Neural Network for Optimization
inferredcites →https://doi.org/10.1111/ffe.12560openalex-snapshot
Analytical modelling of residual stress in additive manufacturing
inferredcites →https://doi.org/10.1115/1.1688377openalex-snapshot
Liquefier Dynamics in Fused Deposition
inferredcites →https://doi.org/10.1115/1.4044199openalex-snapshot
Design Repository Effectiveness for 3D Convolutional Neural Networks: Application to Additive Manufacturing
inferredcites →https://doi.org/10.1115/detc2015-47627openalex-snapshot
Learning Algorithm Based Modeling and Process Parameters Recommendation System for Binder Jetting Additive Manufacturing Process
inferredcites →https://doi.org/10.1115/msec2016-8784openalex-snapshot
Artificial Neural Network Based Geometric Compensation for Thermal Deformation in Additive Manufacturing Processes
inferredcites →https://doi.org/10.1115/sbc2009-206242openalex-snapshot
The Effect of Excessive Subtalar Inversion/Eversion on the Dynamic Function of the Soleus and Gastrocnemius During the Stance Phase
inferredcites →https://doi.org/10.1145/2768821openalex-snapshot
Online Structure Analysis for Real-Time Indoor Scene Reconstruction
inferredcites →https://doi.org/10.1145/2816795.2818121openalex-snapshot
Perceptual models of preference in 3D printing direction
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3197517.3201349openalex-snapshot
3D printing spatially varying color and translucency
inferredcites →https://doi.org/10.1162/neco_a_00990openalex-snapshot
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
inferredcites →https://doi.org/10.1177/095440540121501206openalex-snapshot
A neural network approach to the modelling and analysis of stereolithography processes
inferredcites →https://doi.org/10.1243/0954405041167121openalex-snapshot
Finite element and neural network models for process optimization in selective laser sintering
inferredcites →https://doi.org/10.1243/09544054jem1324openalex-snapshot
Neural-network-based model for build-time estimation in selective laser sintering
inferredcites →https://doi.org/10.1243/09544054jem1565openalex-snapshot
Parametric appraisal of fused deposition modelling process using the grey Taguchi method
inferredcites →https://doi.org/10.1243/09544054jem572openalex-snapshot
Three-dimensional finite element analysis simulations of the fused deposition modelling process
inferredcites →https://doi.org/10.1243/09544054jem815openalex-snapshot
A method for optimizing process parameters in layer-based rapid prototyping
inferredcites →https://doi.org/10.1243/09544054jem990openalex-snapshot
A parametric study of part distortions in fused deposition modelling using three-dimensional finite element analysis
inferredcites →https://doi.org/10.1364/josa.28.000466openalex-snapshot
Subtractive Color Mixture and Color Reproduction*
inferredcites →https://doi.org/10.14743/apem2016.3.223openalex-snapshot
Investigation of dynamic elastic deformation of parts processed by fused deposition modeling additive manufacturing
inferredcites →https://doi.org/10.1504/ijmr.2009.026579openalex-snapshot
ANN model for the prediction of density in Selective Laser Sintering
inferredcites →https://doi.org/10.1504/ijpqm.2011.037730openalex-snapshot
Prediction of dimensional accuracy in fused deposition modelling: a fuzzy logic approach
inferredcites →https://doi.org/10.15302/j-eng-2015014openalex-snapshot
Additive Manufacture of Ceramics Components by Inkjet Printing
inferredcites →https://doi.org/10.1609/aaai.v30i1.10413openalex-snapshot
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
inferredcites →https://doi.org/10.21437/interspeech.2010-343openalex-snapshot
Recurrent neural network based language model
inferredcites →https://doi.org/10.26153/tsw/7149openalex-snapshot
A Parametric Study of Part Distortions in FDM Using 3D FEA
inferredcites →https://doi.org/10.3390/app8081224openalex-snapshot
Degradation Classification of 3D Printing Thermoplastics Using Fourier Transform Infrared Spectroscopy and Artificial Neural Networks
inferredcites →https://doi.org/10.3390/ma11030444openalex-snapshot
Laser Direct Metal Deposition of 2024 Al Alloy: Trace Geometry Prediction via Machine Learning
inferredcites →https://doi.org/10.3390/ma13081963openalex-snapshot
Effect of Reconstruction Algorithm on the Identification of 3D Printing Polymers Based on Hyperspectral CT Technology Combined with Artificial Neural Network
inferredcites →https://doi.org/10.3390/ma13112593openalex-snapshot
Metal Matrix Composites Synthesized by Laser-Melting Deposition: A Review
inferredcites →https://doi.org/10.3390/ma7128168openalex-snapshot
Biocompatibility of Advanced Manufactured Titanium Implants—A Review
inferredcites →https://doi.org/10.3390/met10091113openalex-snapshot
Three-Jet Powder Flow and Laser–Powder Interaction in Laser Melting Deposition: Modelling Versus Experimental Correlations
inferredcites →https://doi.org/10.3390/met10111408openalex-snapshot
Use of X-ray Computed Tomography for Assessing Defects in Ti Grade 5 Parts Produced by Laser Melting Deposition
inferredcites →https://doi.org/10.4028/www.scientific.net/amm.644-650.2386openalex-snapshot
A New Method for Reproducing Oil Paintings Based on 3D Printing
inferredcites →https://doi.org/10.4028/www.scientific.net/amm.796.85openalex-snapshot
Damage Evolution of Concrete by Electrical Resistivity Monitoring Methods
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.48550/arxiv.1001.2267openalex-snapshot
Speech Recognition by Machine, A Review
inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
inferredcites →https://doi.org/10.57702/o9raffedopenalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4755049openalex-extracted
Deep Learning-Powered Powder Bed Fusion in Precision Medicine
inferred← citeshttps://doi.org/10.1002/9781119865605.ch3openalex-snapshot
Application of Machine Learning Algorithms and Models in 3D Printing
inferred← citeshttps://doi.org/10.1002/admt.202301286openalex-snapshot
Autonomous Output‐Oriented Aerosol Jet Printing Enabled by Hybrid Machine Learning
inferred← citeshttps://doi.org/10.1002/adsr.202300137openalex-snapshot
Emerging Additive Manufacturing Methods for Wearable Sensors: Opportunities to Expand Access to Personalized Health Monitoring
inferred← citeshttps://doi.org/10.1002/aisy.202400102openalex-snapshot
Artificial Intelligence‐Augmented Additive Manufacturing: Insights on Closed‐Loop 3D Printing
inferred← citeshttps://doi.org/10.1002/cben.202300054openalex-snapshot
Advancing 3D Printing through Integration of Machine Learning with Algae‐Based Biopolymers
inferred← citeshttps://doi.org/10.1002/pc.26816openalex-snapshot
Investigation on dynamic strength of 3D ‐printed continuous ramie fiber reinforced biocomposites at various strain rates using machine learning methods
inferred← citeshttps://doi.org/10.1002/pen.26641openalex-snapshot
Fracture assessment of inclined double keyhole notches in polylactic acid specimens fabricated by fused deposition modeling and traditional method
inferred← citeshttps://doi.org/10.1002/suco.70039openalex-snapshot
Artificial intelligence‐based displacement capacity prediction tool for three‐dimensional printed concrete walls
inferred← citeshttps://doi.org/10.1007/978-3-030-72322-4_147-1openalex-snapshot
Digital Twin and Artificial Intelligence Incorporated with Surrogate Modeling for Hybrid and Sustainable Energy Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-97940-9_147openalex-snapshot
Digital Twin and Artificial Intelligence Incorporated with Surrogate Modeling for Hybrid and Sustainable Energy Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-37731-0_3openalex-snapshot
Reconstruction of Cultural Heritage 3D Models from Sparse Point Clouds Using Implicit Neural Representations
inferred← citeshttps://doi.org/10.1007/978-3-031-77363-1_44openalex-snapshot
A Machine Learning Approach to Tourists’ Willingness to Revisit Hotels
inferred← citeshttps://doi.org/10.1007/978-3-031-92754-6_21openalex-snapshot
Synergistic Integration of 3D Printing and Machine Learning for Smart Structural Systems: Overview and Feasibility
inferred← citeshttps://doi.org/10.1007/978-3-031-97992-7_28openalex-snapshot
Development of Recurrent Neural Network-Based Surrogate Models for Predicting Thermal and Geometric Characteristics of the Melt Pool in Metal Additive Manufacturing
inferred← citeshttps://doi.org/10.1007/978-3-032-05610-8_42openalex-snapshot
The Impact of Emerging Technologies in Metal Additive Manufacturing
inferred← citeshttps://doi.org/10.1007/978-3-032-15346-3_34openalex-snapshot
Predicting Yield Strength of 3D-Printed Metal Components Using Machine Learning and Process Parameters
inferred← citeshttps://doi.org/10.1007/978-3-032-19276-9_7openalex-snapshot
Exploring Customer Reviews in Michelin-Starred Restaurants: A Machine Learning Approach
inferred← citeshttps://doi.org/10.1007/978-981-19-8602-4_16openalex-snapshot
Future Trends of Using Artificial Intelligence in Oral and Maxillofacial Surgery
inferred← citeshttps://doi.org/10.1007/s00170-022-09976-6openalex-snapshot
Potentials and challenges of additive manufacturing techniques in the fabrication of polymer composites
inferred← citeshttps://doi.org/10.1007/s00170-023-11572-1openalex-snapshot
On the development of part-scale FEM modeling for laser powder bed fusion of AISI 316L stainless steel with experimental verification
inferred← citeshttps://doi.org/10.1007/s00170-023-12383-0openalex-snapshot
A novel framework using FEM and machine learning models with experimental verification for Inconel-718 rapid part qualification by laser powder bed fusion
inferred← citeshttps://doi.org/10.1007/s00170-024-12980-7openalex-snapshot
Inconel-718 processing windows by directed energy deposition: a framework combining computational fluid dynamics and machine learning models with experimental validation
inferred← citeshttps://doi.org/10.1007/s00170-025-16376-zopenalex-snapshot
A comprehensive review of supervised machine learning algorithms integrated with vat photopolymerization process for enhanced prediction of functionalities
inferred← citeshttps://doi.org/10.1007/s00521-022-07694-4openalex-snapshot
Computational AI models in VAT photopolymerization: a review, current trends, open issues, and future opportunities
inferred← citeshttps://doi.org/10.1007/s00521-025-11444-7openalex-snapshot
Detoxifying digital information: harnessing neural networks for cleaner data
inferred← citeshttps://doi.org/10.1007/s10845-023-02120-5openalex-snapshot
Power spectral density moment of having defective 3D printed plastic beams under moving load based on deep learning
inferred← citeshttps://doi.org/10.1007/s10845-025-02563-yopenalex-snapshot
Optimizing electrohydrodynamic direct-writing with multilayer perceptron: accurate and efficient predictions of jet profiles
inferred← citeshttps://doi.org/10.1007/s11465-022-0737-8openalex-snapshot
Build orientation determination of multi-feature mechanical parts in selective laser melting via multi-objective decision making
inferred← citeshttps://doi.org/10.1007/s11665-025-10757-xopenalex-snapshot
A Comprehensive Study on Additive Manufacturing Techniques, Machine Learning Integration, and Internet of Things-Driven Sustainability Opportunities
inferred← citeshttps://doi.org/10.1007/s11665-026-13294-3openalex-snapshot
Prediction of Ultimate Tensile Strength of Heat-Treated Additively Manufactured Ti6Al4V Using Machine Learning Regression
inferred← citeshttps://doi.org/10.1007/s11947-025-03936-0openalex-snapshot
Comparison of 3D Printing Quality and Post-process Stability of Gluten-Free Snacks with Hydrocolloids or Enzymatically Treated Psyllium
inferred← citeshttps://doi.org/10.1007/s12008-022-01186-4openalex-snapshot
Investigation of dimensional accuracy of material extrusion build parts using mathematical modelling and artificial neural network
inferred← citeshttps://doi.org/10.1007/s12008-025-02442-zopenalex-snapshot
Multi‐objective optimization of 3D printing process parameters using hybrid TOPSIS technique for short carbon fiber reinforced PETG composites
inferred← citeshttps://doi.org/10.1007/s12541-025-01229-2openalex-snapshot
Prediction of Dimensional Accuracy and Surface Quality in Additively Manufactured Biomedical Implants Using ANN
inferred← citeshttps://doi.org/10.1007/s12666-022-02715-1openalex-snapshot
Machine Learning Approach for the Prediction of Defect Characteristics in Wire Arc Additive Manufacturing
inferred← citeshttps://doi.org/10.1007/s40808-024-02192-zopenalex-snapshot
Modelling spatiotemporal concentrations of PM2.5 over Nigerian cities using machine learning algorithms and open-source data
inferred← citeshttps://doi.org/10.1007/s40964-022-00346-yopenalex-snapshot
Prediction of tensile strength in fused deposition modeling process using artificial neural network and fuzzy logic
inferred← citeshttps://doi.org/10.1007/s40964-024-00768-wopenalex-snapshot
Machine learning-assisted prediction modeling for anisotropic flexural strength variations in fused filament fabrication of graphene reinforced poly-lactic acid composites
inferred← citeshttps://doi.org/10.1007/s40964-024-00893-6openalex-snapshot
Predictive modelling of flexural behaviour of polymer composites: a machine learning approach through material extrusion
inferred← citeshttps://doi.org/10.1007/s40964-025-01151-zopenalex-snapshot
Optimizing 3D printing through enhancements in inverse autoencoder models and guided decoders for predicting mechanical properties
inferred← citeshttps://doi.org/10.1007/s40964-025-01358-0openalex-snapshot
Optimizing and predicting additive manufacturing parameters using a variational autoencoder combined with data stratification
inferred← citeshttps://doi.org/10.1007/s40964-025-01448-zopenalex-snapshot
Multi-sensor deep learning framework for detection and severity estimation of nozzle clogging in pellet-based 3D printing
inferred← citeshttps://doi.org/10.1007/s41693-024-00133-xopenalex-snapshot
A comprehensive review on integrating vision-based sensing in extrusion-based 3D printing processes: toward geometric monitoring of extrusion-based 3D concrete printing
inferred← citeshttps://doi.org/10.1007/s41939-025-01125-2openalex-snapshot
Experimental and machine learning approaches for the design and optimization of additively manufactured polymer gears: a review
inferred← citeshttps://doi.org/10.1007/s42452-026-08873-xopenalex-snapshot
A review on additive manufacturing techniques and process parameter optimization methods
inferred← citeshttps://doi.org/10.1007/s44150-026-00222-1openalex-snapshot
Civil engineering in the age of artificial intelligence: state of the art of breakthrough, innovation, and intelligent design
inferred← citeshttps://doi.org/10.1016/b978-0-443-22145-3.00002-5openalex-snapshot
Machine learning for design in additive manufacturing
inferred← citeshttps://doi.org/10.1016/j.addlet.2026.100368openalex-snapshot
Advances in Additive Manufacturing for Architectural Acoustics: Design, Materials, Validation, and Implementation Challenges in Building Construction
inferred← citeshttps://doi.org/10.1016/j.addma.2024.104341openalex-snapshot
Machine learning assisted prediction and optimization of mechanical properties for laser powder bed fusion of Ti6Al4V alloy
inferred← citeshttps://doi.org/10.1016/j.aei.2024.102932openalex-snapshot
A critical review of process monitoring for laser-based additive manufacturing
inferred← citeshttps://doi.org/10.1016/j.aime.2022.100072openalex-snapshot
Convolutional Neural Network applications in additive manufacturing: A review
inferred← citeshttps://doi.org/10.1016/j.amf.2025.200198openalex-snapshot
Additive Manufacturing Modification by Artificial Intelligence, Machine Learning, and Deep Learning: A Review
inferred← citeshttps://doi.org/10.1016/j.cie.2022.107964openalex-snapshot
Artificial neural network-based decision support systems in manufacturing processes: A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.dental.2025.11.011openalex-snapshot
Data-driven modeling for build angle optimization to improve accuracy of 3D-printed resin crowns
inferred← citeshttps://doi.org/10.1016/j.drudis.2023.103823openalex-snapshot
3D printing of biologics—what has been accomplished to date?
inferred← citeshttps://doi.org/10.1016/j.eij.2025.100718openalex-snapshot
Efficient stochastic framework for availability improvement of stone door frame manufacturing plants using artificial neural networks and regression analysis
inferred← citeshttps://doi.org/10.1016/j.enganabound.2022.05.019openalex-snapshot
On the assessment of the mechanical properties of additively manufactured lattice structures
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.119992openalex-snapshot
A Carnivorous plant algorithm with Lévy mutation and similarity-removal operation and its applications
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124605openalex-snapshot
Predicting 3D printed plastic part properties: A deep learning approach with thermographic and vibration data fusion
inferred← citeshttps://doi.org/10.1016/j.heliyon.2023.e17718openalex-snapshot
An overview of 3D printed metal implants in orthopedic applications: Present and future perspectives
inferred← citeshttps://doi.org/10.1016/j.ifset.2024.103599openalex-snapshot
AI-based additive manufacturing for future food: Potential applications, challenges and possible solutions
inferred← citeshttps://doi.org/10.1016/j.ijpharm.2024.124440openalex-snapshot
Smart laser Sintering: Deep Learning-Powered powder bed fusion 3D printing in precision medicine
inferred← citeshttps://doi.org/10.1016/j.jcomc.2024.100513openalex-snapshot
A review of AI for optimization of 3D printing of sustainable polymers and composites
inferred← citeshttps://doi.org/10.1016/j.jmapro.2024.11.066openalex-snapshot
A review on physics-informed machine learning for process-structure-property modeling in additive manufacturing
inferred← citeshttps://doi.org/10.1016/j.jmbbm.2024.106504openalex-snapshot
Fracture load in double keyhole notch PLA-Cu2O nanocomposites manufactured via compression molding and 3D printing: An experimental and numerical study
inferred← citeshttps://doi.org/10.1016/j.jmrt.2024.04.130openalex-snapshot
Machine learning for advancing laser powder bed fusion of stainless steel
inferred← citeshttps://doi.org/10.1016/j.jmsy.2025.12.028openalex-snapshot
A collaborative process parameter recommender system for fleets of networked manufacturing machines — with application to 3D printing
inferred← citeshttps://doi.org/10.1016/j.matdes.2025.114475openalex-snapshot
Predicting the mechanical behavior in FDM printing of biopolymers through boosting artificial neural networks
inferred← citeshttps://doi.org/10.1016/j.matpr.2023.08.304openalex-snapshot
Enhancement of compressive strength for FFF based ABS components: Application of RSM and ANN technique
inferred← citeshttps://doi.org/10.1016/j.matpr.2024.05.008openalex-snapshot
Recent challenges and advances in metal additive manufacturing: A review
inferred← citeshttps://doi.org/10.1016/j.mtcomm.2022.103985openalex-snapshot
Tailoring interfacial properties of 3D-printed continuous natural fiber reinforced polypropylene composites through parameter optimization using machine learning methods
inferred← citeshttps://doi.org/10.1016/j.mtcomm.2024.110294openalex-snapshot
A review of machine learning (ML) and explainable artificial intelligence (XAI) methods in additive manufacturing (3D Printing)
inferred← citeshttps://doi.org/10.1016/j.nwnano.2024.100052openalex-snapshot
The synergy of artificial intelligence and nanotechnology towards advancing innovation and sustainability - A mini-review
inferred← citeshttps://doi.org/10.1016/j.nxnano.2026.100581openalex-snapshot
A narrative review on artificial intelligence in advanced drug delivery systems: Nanomedicine, GEMs and smart robotics
inferred← citeshttps://doi.org/10.1016/j.optlastec.2021.107366openalex-snapshot
A state-of-the-art direct metal laser sintering of Ti6Al4V and AlSi10Mg alloys: Surface roughness, tensile strength, fatigue strength and microstructure
inferred← citeshttps://doi.org/10.1016/j.optlastec.2022.108964openalex-snapshot
Prediction of melt pool shape in additive manufacturing based on machine learning methods
inferred← citeshttps://doi.org/10.1016/j.pmatsci.2024.101336openalex-snapshot
3D printing of biodegradable polymers and their composites – Current state-of-the-art, properties, applications, and machine learning for potential future applications
inferred← citeshttps://doi.org/10.1016/j.polymer.2024.127854openalex-snapshot
Evaluation of flexural strength of 3D-Printed nylon with carbon reinforcement: An experimental validation using ANN
inferred← citeshttps://doi.org/10.1016/j.polymertesting.2022.107580openalex-snapshot
Application of machine learning methods on dynamic strength analysis for additive manufactured polypropylene-based composites
inferred← citeshttps://doi.org/10.1016/j.procbio.2022.12.011openalex-snapshot
Artificial intelligence and neuroscience: An update on fascinating relationships
inferred← citeshttps://doi.org/10.1021/acsomega.5c10279openalex-snapshot
Comparative Evaluation of Machine Learning-Assisted Statistical Modeling of Biopolymer Hydrogel Swelling for Material Optimization
inferred← citeshttps://doi.org/10.1038/s41598-025-17487-zopenalex-snapshot
Machine learning based approach for surface roughness prediction in precision dental prototyping
inferred← citeshttps://doi.org/10.1039/9781837679119-00268openalex-snapshot
AI Assisted 3D Food Printing Technology: An Overview
inferred← citeshttps://doi.org/10.1039/d4cp04214jopenalex-snapshot
Machine learning-assisted design and prediction of materials for batteries based on alkali metals
inferred← citeshttps://doi.org/10.1039/d6ma00219fopenalex-snapshot
Emerging processes, machine learning and applications in composite additive manufacturing
inferred← citeshttps://doi.org/10.1080/00387010.2025.2541638openalex-snapshot
Offline Raman monitoring of SARS-CoV-2 VLP upstream stage using two culture media
inferred← citeshttps://doi.org/10.1080/0951192x.2022.2162587openalex-snapshot
An autonomous intelligent framework for optimal orientation detection in 3D printing
inferred← citeshttps://doi.org/10.1080/14484846.2022.2047472openalex-snapshot
Improvement of part strength prediction modelling by artificial neural networks for filament and pellet based additively manufactured parts
inferred← citeshttps://doi.org/10.1080/17452759.2022.2068446openalex-snapshot
A data-driven machine learning approach for the 3D printing process optimisation
inferred← citeshttps://doi.org/10.1080/2374068x.2022.2091085openalex-snapshot
ANN modelling of surface roughness of FDM parts considering the effect of hidden layers, neurons, and process parameters
inferred← citeshttps://doi.org/10.1088/1402-4896/ad42d7openalex-snapshot
Optimizing FDM process parameters: predictive insights through taguchi, regression, and neural networks
inferred← citeshttps://doi.org/10.1088/1402-4896/ad7f0fopenalex-snapshot
Development of ANN model for predicting mechanical properties of 3D printed PEEK polymer using FDM and optimization of process parameters for better mechanical properties
inferred← citeshttps://doi.org/10.1088/1757-899x/1201/1/012031openalex-snapshot
Experimental investigation and ANN prediction for part quality improvement of fused deposition modeling parts
inferred← citeshttps://doi.org/10.1108/acmm-08-2025-3364openalex-snapshot
A systematic review of artificial neural network applications in thermal spray coatings for high-temperature turbomachinery corrosion prevention
inferred← citeshttps://doi.org/10.1108/ijieom-01-2023-0006openalex-snapshot
Improvement of tensile strength of fused deposition modelling (FDM) part using artificial neural network and genetic algorithm techniques
inferred← citeshttps://doi.org/10.1108/rpj-01-2024-0056openalex-snapshot
Estimation of deposition rate in robotic-controlled wire arc additive manufacturing: implementation of state-of-the-art machine learning algorithms
inferred← citeshttps://doi.org/10.1108/rpj-03-2022-0072openalex-snapshot
A real-time approach for failure detection in material extrusion process based on artificial neural network
inferred← citeshttps://doi.org/10.1108/rpj-03-2023-0114openalex-snapshot
Printed layers height calibration curve and porosity in laser melting deposition of Ti6Al4V combining experiments, mathematical modelling and deep neural network
inferred← citeshttps://doi.org/10.1108/rpj-05-2022-0155openalex-snapshot
Effect of process parameters on properties of 3D printed continuous fiber reinforced thermoplastic composites
inferred← citeshttps://doi.org/10.1108/rpj-07-2021-0179openalex-snapshot
Laser additive manufacturing of bulk and powder ceramic materials: mathematical modeling with experimental correlations
inferred← citeshttps://doi.org/10.1109/icac57885.2023.10275189openalex-snapshot
Enhancing Genetic Algorithm-Based Process Parameter Optimisation Through Grid Search-Optimised Artificial Neural Networks
inferred← citeshttps://doi.org/10.1109/icitsif69060.2026.11608662openalex-snapshot
Innovation in Orthopaedics: 3D printing for Custom Implants
inferred← citeshttps://doi.org/10.1109/icmiii58949.2023.00110openalex-snapshot
Research on Fine Identification Method of Tunnel Geological Digital Drilling Based on Artificial Neural Network
inferred← citeshttps://doi.org/10.1115/1.4053001openalex-snapshot
Strut Diameter Uncertainty Prediction by Deep Neural Network for Additively Manufactured Lattice Structures
inferred← citeshttps://doi.org/10.1115/1.4069993openalex-snapshot
Data-Driven 3D-Printed Material Data Prediction From Benchmark Specimens
inferred← citeshttps://doi.org/10.1149/2754-2726/ad7a88openalex-snapshot
Editors’ Choice—Review—Sensor-Based and Computational Methods for Error Detection and Correction in 3D Printing
inferred← citeshttps://doi.org/10.1177/08927057261439032openalex-snapshot
ML-enabled prediction and optimization of tensile strength and surface characteristics in additively manufactured PETG components
inferred← citeshttps://doi.org/10.1515/9783111681870-014openalex-snapshot
369Chapter 14 Robotics innovations in nanotechnology: redefining polymer science with AI
inferred← citeshttps://doi.org/10.1520/jte20240564openalex-snapshot
Predicting the Experimental Results of the Tensile Strength of Parts Produced with a 3-D Printer Using ABS Filament with Artificial Intelligence
inferred← citeshttps://doi.org/10.17212/1994-6309-2022-24.3-40-52openalex-snapshot
Modeling of sliding wear characteristics of Polytetrafluoroethylene (PTFE) composite reinforced with carbon fiber against SS304
inferred← citeshttps://doi.org/10.18311/jmmf/2025/49339openalex-snapshot
Additive Manufacturing: Emerging Trends and Technological Advancements
inferred← citeshttps://doi.org/10.21595/jme.2023.23452openalex-snapshot
Utilizing a knowledge-based training algorithm and time-domain extraction for pattern recognition in cylindrical features through vibration and sound signals
inferred← citeshttps://doi.org/10.2184/lsj.52.4_191openalex-snapshot
Optimization of Process Conditions by Use of Automatic Parameter-Variable Ultrashort-Pulse Laser System
inferred← citeshttps://doi.org/10.22441/pasti.2023.v17i1.006openalex-snapshot
Optimasi Parameter 3D Printing Terhadap Kualitas Produk Bahan Acrylonitrile Butadiene Styrene
inferred← citeshttps://doi.org/10.23919/ccc55666.2022.9902369openalex-snapshot
An Improved Exponential Stability Criterion of Generalized Neural Networks With Intermittent Large-Delay Periods
inferred← citeshttps://doi.org/10.29121/shodhkosh.v6.i4s.2025.6833openalex-snapshot
MACHINE LEARNING FOR COLOR OPTIMIZATION IN PRINTING
inferred← citeshttps://doi.org/10.32393/csme.2021.224openalex-snapshot
Mass Optimization Of 3D-Printed Composites Using Topology Optimization And Artificial Neural Network
inferred← citeshttps://doi.org/10.32604/cmes.2023.031399openalex-snapshot
Numerical Study of the Biomechanical Behavior of a 3D Printed Polymer Esophageal Stent in the Esophagus by BP Neural Network Algorithm
inferred← citeshttps://doi.org/10.33096/ilkom.v14i3.1317.209-217openalex-snapshot
Classification of Lombok Pearls using GLCM Feature Extraction and Artificial Neural Networks (ANN)
inferred← citeshttps://doi.org/10.3389/fbioe.2025.1542179openalex-snapshot
Innovative 3D printing technologies and advanced materials revolutionizing orthopedic surgery: current applications and future directions
inferred← citeshttps://doi.org/10.3390/a15080263openalex-snapshot
A Neuroevolutionary Model to Estimate the Tensile Strength of Manufactured Parts Made by 3D Printing
inferred← citeshttps://doi.org/10.3390/app12105007openalex-snapshot
A Semi-Automated 3D-Printed Chainmail Design Algorithm with Preprogrammed Directional Functions for Hand Exoskeleton
inferred← citeshttps://doi.org/10.3390/app132212316openalex-snapshot
Recognition of Additive Manufacturing Parts Based on Neural Networks and Synthetic Training Data: A Generalized End-to-End Workflow
inferred← citeshttps://doi.org/10.3390/app15041781openalex-snapshot
Emerging Applications of Machine Learning in 3D Printing
inferred← citeshttps://doi.org/10.3390/app15095116openalex-snapshot
Research on Quality Prediction for Thermal Printing Using a Particle Swarm Optimization with Back Propagation (PSO-BP) Neural Network
inferred← citeshttps://doi.org/10.3390/app15105523openalex-snapshot
ML-Based Materials Evaluation in 3D Printing
inferred← citeshttps://doi.org/10.3390/coatings11030296openalex-snapshot
Laser Coatings via State-of-the-Art Additive Manufacturing: A Review
inferred← citeshttps://doi.org/10.3390/compounds1030009openalex-snapshot
3D Printing in Drug Delivery and Biomedical Applications: A State-of-the-Art Review
inferred← citeshttps://doi.org/10.3390/diagnostics14151589openalex-snapshot
Optimization of Fast Non-Local Means Noise Reduction Algorithm Parameter in Computed Tomographic Phantom Images Using 3D Printing Technology
inferred← citeshttps://doi.org/10.3390/encyclopedia1030048openalex-snapshot
Machine Learning for Additive Manufacturing
inferred← citeshttps://doi.org/10.3390/fib10060052openalex-snapshot
Multifunctional Material Extrusion 3D-Printed Antibacterial Polylactic Acid (PLA) with Binary Inclusions: The Effect of Cuprous Oxide and Cellulose Nanofibers
inferred← citeshttps://doi.org/10.3390/inventions9040080openalex-snapshot
Real-Time Precision in 3D Concrete Printing: Controlling Layer Morphology via Machine Vision and Learning Algorithms
inferred← citeshttps://doi.org/10.3390/jmmp10080307openalex-snapshot
Experimental Investigation and Artificial Neural Network-Based Prediction of Tensile Strength in Fused Filament-Fabricated Carbon Fiber-Reinforced PETG
inferred← citeshttps://doi.org/10.3390/jmmp5030069openalex-snapshot
A Review on Filament Materials for Fused Filament Fabrication
inferred← citeshttps://doi.org/10.3390/jmmp6010016openalex-snapshot
A Review on the Processing of Aero-Turbine Blade Using 3D Print Techniques
inferred← citeshttps://doi.org/10.3390/jmmp9040116openalex-snapshot
Neural Network Optimization of Mechanical Properties of ABS-like Photopolymer Utilizing Stereolithography (SLA) 3D Printing
inferred← citeshttps://doi.org/10.3390/ma14123149openalex-snapshot
Advances in 3D Printing for Tissue Engineering
inferred← citeshttps://doi.org/10.3390/ma14164733openalex-snapshot
A State-of-the-Art Review on Integral Transform Technique in Laser–Material Interaction: Fourier and Non-Fourier Heat Equations
inferred← citeshttps://doi.org/10.3390/ma15030854openalex-snapshot
Vibration Fatigue of FDM 3D Printed Structures: The Use of Frequency Domain Approach
inferred← citeshttps://doi.org/10.3390/ma17081873openalex-snapshot
Decision Support Tool in the Selection of Powder for 3D Printing
inferred← citeshttps://doi.org/10.3390/machines14050550openalex-snapshot
Recent Advances in Artificial Intelligence and Machine Learning for Life Cycle-Wide Additive Manufacturing: A Comprehensive Review
inferred← citeshttps://doi.org/10.3390/make3040046openalex-snapshot
Language Semantics Interpretation with an Interaction-Based Recurrent Neural Network
inferred← citeshttps://doi.org/10.3390/math11071643openalex-snapshot
Applying Neural Networks on Biometric Datasets for Screening Speech and Language Deficiencies in Child Communication
inferred← citeshttps://doi.org/10.3390/met13030490openalex-snapshot
Design Optimization Method Based on Artificial Intelligence (Hybrid Method) for Repair and Restoration Using Additive Manufacturing Technology
inferred← citeshttps://doi.org/10.3390/mi13010137openalex-snapshot
Quality Prediction and Control in Wire Arc Additive Manufacturing via Novel Machine Learning Framework
inferred← citeshttps://doi.org/10.3390/pharmaceutics17050551openalex-snapshot
Use of Computational Intelligence in Customizing Drug Release from 3D-Printed Products: A Comprehensive Review
inferred← citeshttps://doi.org/10.3390/polym17050677openalex-snapshot
Artificial Neural Network Modeling of Mechanical Properties of 3D-Printed Polyamide 12 and Its Fiber-Reinforced Composites
inferred← citeshttps://doi.org/10.3390/polym17192699openalex-snapshot
Evaluating the Performance of 3D-Printed Stab-Resistant Body Armor Using the Taguchi Method and Artificial Neural Networks
inferred← citeshttps://doi.org/10.3390/pr10030616openalex-snapshot
Hybridized Particle Swarm—Gravitational Search Algorithm for Process Optimization
inferred← citeshttps://doi.org/10.3390/pr10061158openalex-snapshot
Accurate Estimation of Tensile Strength of 3D Printed Parts Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.3390/s22155592openalex-snapshot
Estimation of Head Accelerations in Crashes Using Neural Networks and Sensors Embedded in the Protective Helmet
inferred← citeshttps://doi.org/10.3390/s23156821openalex-snapshot
A Survey of Image-Based Fault Monitoring in Additive Manufacturing: Recent Developments and Future Directions
inferred← citeshttps://doi.org/10.4018/978-1-6684-6009-2.ch006openalex-snapshot
Additive Manufacturing Developments in the Medical Engineering Field
inferred← citeshttps://doi.org/10.4018/978-1-6684-8171-4.ch010openalex-snapshot
Additive Manufacturing Using Robotic Programming
inferred← citeshttps://doi.org/10.4018/979-8-3373-0533-2.ch005openalex-snapshot
Modelling, Simulation, and Design for 3D Printing
inferred← citeshttps://doi.org/10.4018/979-8-3373-0533-2.ch006openalex-snapshot
Methodologies for Topology Optimization in 3D-Printed Mechanical Parts
inferred← citeshttps://doi.org/10.4018/979-8-3373-0533-2.ch011openalex-snapshot
Techniques and Methods for Optimizing 3D Printing Parameters
inferred← citeshttps://doi.org/10.4018/979-8-3373-5107-0.ch002openalex-snapshot
Supply Chain Trends and Impact in Industry 4.0 From a Hybrid Optimization Perspective and the Emerging Technologies Associated With Its Management
inferred← citeshttps://doi.org/10.4018/979-8-3373-6214-4.ch002openalex-snapshot
Evolving From G-Code to STEP-NC
inferred← citeshttps://doi.org/10.61927/igmin316openalex-snapshot
A Review inside Innovation: AI and Additive Manufacturing for Advanced Bone Scaffold Design
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.