On the public citation graph

Multilayer Hybrid Deep-Learning Method for Waste Classification and Recycling

https://doi.org/10.1155/2018/5060857
0 signed · 273 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.wasman.2006.05.006openalex-snapshot
Recovery and recycling practices in municipal solid waste management in Lagos, Nigeria
inferredcites →https://doi.org/10.1016/j.wasman.2008.04.016openalex-snapshot
Sustainable recycling of municipal solid waste in developing countries
inferredcites →https://doi.org/10.1016/j.wasman.2008.06.032openalex-snapshot
A purview of waste management evolution: Special emphasis on USA
inferredcites →https://doi.org/10.1016/j.wasman.2009.06.004openalex-snapshot
Recycling and recovery routes of plastic solid waste (PSW): A review
inferredcites →https://doi.org/10.1016/j.wasman.2011.03.014openalex-snapshot
Municipal solid waste source-separated collection in China: A comparative analysis
inferredcites →https://doi.org/10.1063/1.1144830openalex-snapshot
Neural networks and their applications
inferredcites →https://doi.org/10.1177/0734242x08096304openalex-snapshot
C balance, carbon dioxide emissions and global warming potentials in LCA-modelling of waste management systems

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.4631798openalex-extracted
Internet of Things-Based Smart Medical Waste Management System
inferred← citeshttps://doi.org/10.1002/bsd2.70429openalex-snapshot
Circular Economy and Supply Chain Performance Under Geopolitical Tensions: The Roles of Recycling Efficiency and Logistics Infrastructure Capability
inferred← citeshttps://doi.org/10.1002/cben.202100044openalex-snapshot
A Study on AI‐based Waste Management Strategies for the COVID‐19 Pandemic
inferred← citeshttps://doi.org/10.1002/cpe.5751openalex-snapshot
A combination model based on transfer learning for waste classification
inferred← citeshttps://doi.org/10.1002/ep.70322openalex-snapshot
AI ‐driven circular economy optimization in waste management: A review of current evidence
inferred← citeshttps://doi.org/10.1002/widm.70025openalex-snapshot
Artificial Intelligence‐Based Waste Management: A Review of Classification, Techniques, Issues, and Challenges
inferred← citeshttps://doi.org/10.1007/978-3-030-20518-8_30openalex-snapshot
Waste Classification System Using Image Processing and Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-70183-3_3openalex-snapshot
Deep Learning in Smart Applications: Approaches and Challenges
inferred← citeshttps://doi.org/10.1007/978-3-030-96429-0_13openalex-snapshot
Deep Learning for Green Smart Environment
inferred← citeshttps://doi.org/10.1007/978-3-031-59531-8_12openalex-snapshot
Machine Vision for Solid Waste Detection
inferred← citeshttps://doi.org/10.1007/978-3-031-63451-2_1openalex-snapshot
Recognizing Aluminum Beverage Cans from Waste Mixtures Based on Densenet121-CNN Model: Deep Learning Methodology
inferred← citeshttps://doi.org/10.1007/978-3-031-88042-1_8openalex-snapshot
Bio - Medical Waste Management: Deep Learning Approach
inferred← citeshttps://doi.org/10.1007/978-3-032-02728-3_15openalex-snapshot
Solid-Waste Classification Using Deep Learning Fusion Model
inferred← citeshttps://doi.org/10.1007/978-3-032-06668-8_6openalex-snapshot
An IoT Based Real-Time Garbage Detection System Using YOLOv8 and Raspberry Pi
inferred← citeshttps://doi.org/10.1007/978-3-032-30954-9_41openalex-snapshot
An Enhanced YOLOv11 and Vision Transformer Architecture for Real Time Waste Detection in Smart and Sustainable Cities
inferred← citeshttps://doi.org/10.1007/978-3-446-46897-9_20openalex-snapshot
Künstliche Intelligenz als Wegbereiter für smartere Kommunen
inferred← citeshttps://doi.org/10.1007/978-3-446-47175-7_20openalex-snapshot
Artificial Intelligence – Enabling Smarter Municipalities
inferred← citeshttps://doi.org/10.1007/978-981-16-1295-4_25openalex-snapshot
Waste Segregation to Ease Recyclability
inferred← citeshttps://doi.org/10.1007/978-981-16-2406-3_55openalex-snapshot
Smart Waste Management System
inferred← citeshttps://doi.org/10.1007/978-981-16-9613-8_16openalex-snapshot
Garbage Classification Using YOLOv3
inferred← citeshttps://doi.org/10.1007/978-981-19-2083-7_6openalex-snapshot
AI in Waste Management: The Savage of Environment
inferred← citeshttps://doi.org/10.1007/978-981-19-2445-3_10openalex-snapshot
Computer Vision-based Waste Detection and Classification for Garbage Management and Recycling
inferred← citeshttps://doi.org/10.1007/978-981-19-5723-9_2openalex-snapshot
Deep Technologies Using Big Data in: Energy and Waste Management
inferred← citeshttps://doi.org/10.1007/978-981-19-8032-9_28openalex-snapshot
Computer Vision-Based Waste Detection and Classification for Garbage Management and Recycling
inferred← citeshttps://doi.org/10.1007/978-981-33-4572-0_67openalex-snapshot
Residual Waste Quality Detection Method Based on Gaussian-YOLOv3
inferred← citeshttps://doi.org/10.1007/978-981-95-0684-2_24openalex-snapshot
Waste Forecasting for Smart Cities Using Long Short Term Memory
inferred← citeshttps://doi.org/10.1007/978-981-95-3767-9_5openalex-snapshot
Artificial Intelligence and Internet of Things: Collaborative Steps for Next-Generation Biomedical Waste Management
inferred← citeshttps://doi.org/10.1007/978-981-96-1528-5_8openalex-snapshot
Dynamic Offloading Control for Waste Sorting Based on Deep Q-Network
inferred← citeshttps://doi.org/10.1007/978-981-96-5781-0_3openalex-snapshot
Proposing an AI-Enabled Waste Segregation System for Domestic Settings
inferred← citeshttps://doi.org/10.1007/978-981-97-5685-8_5openalex-snapshot
Data Analysis in Solid Waste Management and Recycling—A Review
inferred← citeshttps://doi.org/10.1007/978-981-97-9800-1_5openalex-snapshot
Technological Advances in Efficient Agricultural Residue and Biomass Management
inferred← citeshttps://doi.org/10.1007/978-981-99-0923-0_69openalex-snapshot
Garbage Classification Based on GC-Net
inferred← citeshttps://doi.org/10.1007/978-981-99-1019-9_28openalex-snapshot
A Deep Learning-Based Reverse Logistics Model for Recycling Construction and Demolition Waste
inferred← citeshttps://doi.org/10.1007/978-981-99-8451-0_10openalex-snapshot
An Automated Smart Plastic Waste Recycling Management Systems
inferred← citeshttps://doi.org/10.1007/s00371-025-04031-3openalex-snapshot
Multi-layer feature fusion for high-accuracy solid waste classification using a hybrid deep learning model
inferred← citeshttps://doi.org/10.1007/s00500-021-05579-7openalex-snapshot
Machine learning in recycling business: an investigation of its practicality, benefits and future trends
inferred← citeshttps://doi.org/10.1007/s00521-024-10855-2openalex-snapshot
Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection
inferred← citeshttps://doi.org/10.1007/s10163-021-01182-yopenalex-snapshot
Applying machine learning approach in recycling
inferred← citeshttps://doi.org/10.1007/s10163-023-01796-4openalex-snapshot
An automated waste management system using artificial intelligence and robotics
inferred← citeshttps://doi.org/10.1007/s10163-024-02104-4openalex-snapshot
Design and implementation of VGD6-NET framework for waste segregation using 3-tier convolutional neural networks
inferred← citeshttps://doi.org/10.1007/s10311-021-01240-9openalex-snapshot
Convolutional neural network with near-infrared spectroscopy for plastic discrimination
inferred← citeshttps://doi.org/10.1007/s10661-024-12410-xopenalex-snapshot
An integrated deep-learning model for smart waste classification
inferred← citeshttps://doi.org/10.1007/s10668-024-05031-4openalex-snapshot
Research on the influence mechanism of residents’ waste sorting behavior: based on extended theory of planned behavior
inferred← citeshttps://doi.org/10.1007/s11042-021-11537-0openalex-snapshot
Automated waste-sorting and recycling classification using artificial neural network and features fusion: a digital-enabled circular economy vision for smart cities
inferred← citeshttps://doi.org/10.1007/s11042-021-11654-wopenalex-snapshot
Location-aware hazardous litter management for smart emergency governance in urban eco-cyber-physical systems
inferred← citeshttps://doi.org/10.1007/s11277-019-06340-yopenalex-snapshot
A Threat Analysis of Human Bond Communications
inferred← citeshttps://doi.org/10.1007/s11356-021-16025-4openalex-snapshot
From outbreak of COVID-19 to launching of vaccination drive: invigorating single-use plastics, mitigation strategies, and way forward
inferred← citeshttps://doi.org/10.1007/s11356-023-27970-7openalex-snapshot
A waste classification method based on a capsule network
inferred← citeshttps://doi.org/10.1007/s11431-021-1927-9openalex-snapshot
Deep multimodal learning for municipal solid waste sorting
inferred← citeshttps://doi.org/10.1007/s11831-026-10739-9openalex-snapshot
A Systematic Review of Intelligent and Computational Techniques in E-Waste Management
inferred← citeshttps://doi.org/10.1007/s13762-021-03179-4openalex-snapshot
Intelligent solid waste classification using deep convolutional neural networks
inferred← citeshttps://doi.org/10.1007/s40747-021-00529-0openalex-snapshot
A deep learning approach based hardware solution to categorise garbage in environment
inferred← citeshttps://doi.org/10.1007/s40860-021-00168-9openalex-snapshot
A machine learning approach for investigating the impact of seasonal variation on physical composition of municipal solid waste
inferred← citeshttps://doi.org/10.1007/s42398-021-00179-5openalex-snapshot
Kinetic assessment of aerobic composting of flower waste generated from temple in Jammu, India: a lab-scale experimental study
inferred← citeshttps://doi.org/10.1007/s42979-021-00651-3openalex-snapshot
Interdisciplinary Implementation of Supervised Real-Time Waste Management
inferred← citeshttps://doi.org/10.1016/b978-0-12-824463-0.00019-7openalex-snapshot
Artificial Intelligence Models for Forecasting of Municipal Solid Waste Generation
inferred← citeshttps://doi.org/10.1016/b978-0-443-27374-2.00004-2openalex-snapshot
Waste classification into plastics, industrial, domestic, and agriculture waste
inferred← citeshttps://doi.org/10.1016/b978-0-443-27374-2.00018-2openalex-snapshot
Intelligent waste management: a comprehensive review of machine learning and deep learning applications in advanced recycling
inferred← citeshttps://doi.org/10.1016/b978-0-443-34158-8.00070-0openalex-snapshot
Cellulose Packaging Recycling
inferred← citeshttps://doi.org/10.1016/j.aca.2025.344628openalex-snapshot
A chemometric approach for FTIR-Raman-LIBS tri-modal spectral fusion: Transformer-based accurate identification of recyclable polymers
inferred← citeshttps://doi.org/10.1016/j.biortech.2020.124114openalex-snapshot
Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2022.136044openalex-snapshot
Recycling waste classification using emperor penguin optimizer with deep learning model for bioenergy production
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2022.136092openalex-snapshot
Recent advances in the application of machine learning methods to improve identification of the microplastics in environment
inferred← citeshttps://doi.org/10.1016/j.ecmx.2024.100687openalex-snapshot
A critical review of sustianable refuse-derived fuel production in waste processing facility
inferred← citeshttps://doi.org/10.1016/j.energy.2025.138318openalex-snapshot
Intelligent air flow control in municipal solid waste incineration power plants: a novel approach integrating machine learning and physical-chemical models
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106241openalex-snapshot
Classification and rating of steel scrap using deep learning
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107542openalex-snapshot
Hierarchical waste detection with weakly supervised segmentation in images from recycling plants
inferred← citeshttps://doi.org/10.1016/j.gr.2024.07.014openalex-snapshot
Intelligent waste sorting for sustainable environment: A hybrid deep learning and transfer learning model
inferred← citeshttps://doi.org/10.1016/j.hazadv.2025.100655openalex-snapshot
An Intelligent Deep Learning based Classification with Vehicle Routing Technique for municipal solid waste management
inferred← citeshttps://doi.org/10.1016/j.ifacol.2022.09.530openalex-snapshot
Forecasting the Amount of Recyclables Using an Improved Differential Evolution-based Neural Network
inferred← citeshttps://doi.org/10.1016/j.jclepro.2022.130943openalex-snapshot
Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches
inferred← citeshttps://doi.org/10.1016/j.jclepro.2023.137558openalex-snapshot
Classification and recycling of recyclable garbage based on deep learning
inferred← citeshttps://doi.org/10.1016/j.jclepro.2023.139351openalex-snapshot
Assessment of deep learning-based image analysis for disaster waste identification
inferred← citeshttps://doi.org/10.1016/j.jclepro.2024.144601openalex-snapshot
Multimodal packaging waste brand identification approach for extended producer responsibility traceability
inferred← citeshttps://doi.org/10.1016/j.jenvman.2021.112233openalex-snapshot
“Looking beneath the surface”: A visual-physical feature hybrid approach for unattended gauging of construction waste composition
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2019.121723openalex-snapshot
Fast characterization of biomass and waste by infrared spectra and machine learning models
inferred← citeshttps://doi.org/10.1016/j.matpr.2022.03.129openalex-snapshot
A concatenation of deep and texture features for medicinal trash image classification using EnSegNet-DNN-based transfer learning
inferred← citeshttps://doi.org/10.1016/j.matt.2023.04.016openalex-snapshot
Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0
inferred← citeshttps://doi.org/10.1016/j.matt.2023.08.003openalex-snapshot
A critical review of existing and emerging technologies and systems to optimize solid waste management for feedstocks and energy conversion
inferred← citeshttps://doi.org/10.1016/j.measurement.2019.107459openalex-snapshot
Waste classification using AutoEncoder network with integrated feature selection method in convolutional neural network models
inferred← citeshttps://doi.org/10.1016/j.micpro.2023.104816openalex-snapshot
Smart self-power generating garbage management system using deep learning for smart cities
inferred← citeshttps://doi.org/10.1016/j.nexres.2026.101373openalex-snapshot
E-ViTNet: A lightweight vision transformer with oppositional cat swarm optimization for automated E-Waste sorting
inferred← citeshttps://doi.org/10.1016/j.procir.2023.02.047openalex-snapshot
Recyclebot – using robots for sustainable plastic recycling
inferred← citeshttps://doi.org/10.1016/j.procir.2024.07.050openalex-snapshot
Modular Model and Simulation for Process Optimisation in Advanced Material Recovery Facilities (MRFs)
inferred← citeshttps://doi.org/10.1016/j.resconrec.2020.105132openalex-snapshot
Recycling waste classification using optimized convolutional neural network
inferred← citeshttps://doi.org/10.1016/j.resconrec.2021.105685openalex-snapshot
Deep learning computer vision for the separation of Cast- and Wrought-Aluminum scrap
inferred← citeshttps://doi.org/10.1016/j.resconrec.2022.106207openalex-snapshot
Intelligent disassembly of electric-vehicle batteries: a forward-looking overview
inferred← citeshttps://doi.org/10.1016/j.resconrec.2022.106270openalex-snapshot
A sensor combination based automatic sorting system for waste washing machine parts
inferred← citeshttps://doi.org/10.1016/j.resconrec.2022.106272openalex-snapshot
Simultaneous mass estimation and class classification of scrap metals using deep learning
inferred← citeshttps://doi.org/10.1016/j.resconrec.2022.106813openalex-snapshot
Applications of convolutional neural networks for intelligent waste identification and recycling: A review
inferred← citeshttps://doi.org/10.1016/j.sca.2024.100076openalex-snapshot
Application of artificial intelligence in reverse logistics: A bibliometric and network analysis
inferred← citeshttps://doi.org/10.1016/j.seta.2023.103397openalex-snapshot
Modified rat swarm optimization with deep learning model for robust recycling object detection and classification
inferred← citeshttps://doi.org/10.1016/j.seta.2024.103651openalex-snapshot
Relation-aware graph convolutional network for waste battery inspection based on X-ray images
inferred← citeshttps://doi.org/10.1016/j.spc.2022.05.022openalex-snapshot
Material measurement units for a circular economy: Foundations through a review
inferred← citeshttps://doi.org/10.1016/j.teler.2024.100161openalex-snapshot
Internet of things-based smart medical waste management system
inferred← citeshttps://doi.org/10.1016/j.uclim.2023.101483openalex-snapshot
Waste classification using vision transformer based on multilayer hybrid convolution neural network
inferred← citeshttps://doi.org/10.1016/j.uclim.2023.101485openalex-snapshot
Hybrid deep learning model for accurate classification of solid waste in the society
inferred← citeshttps://doi.org/10.1016/j.wasman.2020.04.057openalex-snapshot
Artificial intelligence applications in solid waste management: A systematic research review
inferred← citeshttps://doi.org/10.1016/j.wasman.2020.09.032openalex-snapshot
Detecting glass and metal in consumer trash bags during waste collection using convolutional neural networks
inferred← citeshttps://doi.org/10.1016/j.wasman.2021.02.029openalex-snapshot
Applying artificial neural networks (ANNs) to solve solid waste-related issues: A critical review
inferred← citeshttps://doi.org/10.1016/j.wasman.2021.08.007openalex-snapshot
Demand gap analysis of municipal solid waste landfill in Beijing: Based on the municipal solid waste generation
inferred← citeshttps://doi.org/10.1016/j.wasman.2021.08.028openalex-snapshot
A smart municipal waste management system based on deep-learning and Internet of Things
inferred← citeshttps://doi.org/10.1016/j.wasman.2021.12.001openalex-snapshot
Deep learning-based waste detection in natural and urban environments
inferred← citeshttps://doi.org/10.1016/j.wasman.2022.02.009openalex-snapshot
Computer vision for solid waste sorting: A critical review of academic research
inferred← citeshttps://doi.org/10.1016/j.wasman.2022.05.021openalex-snapshot
PortiK: A computer vision based solution for real-time automatic solid waste characterization – Application to an aluminium stream
inferred← citeshttps://doi.org/10.1016/j.wasman.2023.12.014openalex-snapshot
GCDN-Net: Garbage classifier deep neural network for recyclable urban waste management
inferred← citeshttps://doi.org/10.1016/j.wasman.2024.10.005openalex-snapshot
Multi-target detection of waste composition in complex environments based on an improved YOLOX-S model
inferred← citeshttps://doi.org/10.1016/j.wsee.2025.07.001openalex-snapshot
Integrating artificial intelligence for sustainable waste management: Insights from machine learning and deep learning
inferred← citeshttps://doi.org/10.1038/s41598-024-62003-4openalex-snapshot
Enhancing trash classification in smart cities using federated deep learning
inferred← citeshttps://doi.org/10.1051/matecconf/202439201167openalex-snapshot
Classification of waste in natural environments
inferred← citeshttps://doi.org/10.1063/5.0106304openalex-snapshot
Systematic literature review of deep learning models in solid waste management
inferred← citeshttps://doi.org/10.1063/5.0130453openalex-snapshot
Drone based survey of garbage locations for waste management
inferred← citeshttps://doi.org/10.1063/5.0192252openalex-snapshot
Modern approaches of waste management - A critical review
inferred← citeshttps://doi.org/10.1063/5.0259245openalex-snapshot
Developing garbage detection and classification accuracy using a novel visual geometry group in comparison to a convolutional neural network
inferred← citeshttps://doi.org/10.1080/05704928.2024.2311130openalex-snapshot
Microplastics: Challenges, toxicity, spectroscopic and real-time detection methods
inferred← citeshttps://doi.org/10.1080/21622515.2021.1913242openalex-snapshot
Artificial intelligence as an upcoming technology in wastewater treatment: a comprehensive review
inferred← citeshttps://doi.org/10.1080/21622515.2023.2205027openalex-snapshot
Application of artificial intelligence techniques in municipal solid waste management: a systematic literature review
inferred← citeshttps://doi.org/10.1088/1757-899x/803/1/012017openalex-snapshot
Classifying Wastes Using Random Forests, Gaussian Naïve Bayes, Support Vector Machine and Multilayer Perceptron
inferred← citeshttps://doi.org/10.1088/2515-7620/acfecfopenalex-snapshot
Efficient plastic categorization for recycling and real-time annotated data collection with TensorFlow object detection model
inferred← citeshttps://doi.org/10.1108/ci-03-2022-0062openalex-snapshot
Applications of Industry 4.0 digital technologies towards a construction circular economy: gap analysis and conceptual framework
inferred← citeshttps://doi.org/10.1109/access.2019.2959033openalex-snapshot
A Novel Framework for Trash Classification Using Deep Transfer Learning
inferred← citeshttps://doi.org/10.1109/access.2020.2995681openalex-snapshot
Intelligent Fusion of Deep Features for Improved Waste Classification
inferred← citeshttps://doi.org/10.1109/access.2020.3038676openalex-snapshot
Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification
inferred← citeshttps://doi.org/10.1109/access.2021.3111230openalex-snapshot
ScrapNet: An Efficient Approach to Trash Classification
inferred← citeshttps://doi.org/10.1109/access.2022.3174076openalex-snapshot
IncepX-Ensemble: Performance Enhancement Based on Data Augmentation and Hybrid Learning for Recycling Transparent PET Bottles
inferred← citeshttps://doi.org/10.1109/access.2022.3226682openalex-snapshot
A Survey on Waste Detection and Classification Using Deep Learning
inferred← citeshttps://doi.org/10.1109/access.2024.3495982openalex-snapshot
An Integrated Learning Approach for Municipal Solid Waste Classification
inferred← citeshttps://doi.org/10.1109/aict52120.2021.9628923openalex-snapshot
A Low-Cost Intelligent Metal Recycling Machine
inferred← citeshttps://doi.org/10.1109/atc67618.2025.11268574openalex-snapshot
TrashVLM: Lightweight and Efficiently Fine-Tuned Vision-Language Models for Waste Classification
inferred← citeshttps://doi.org/10.1109/cvmi61877.2024.10782029openalex-snapshot
Convolutional Neural Network Based Technique for Efficient Waste Classification
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00232openalex-snapshot
ETHSeg: An Amodel Instance Segmentation Network and a Real-world Dataset for X-Ray Waste Inspection
inferred← citeshttps://doi.org/10.1109/esci63694.2025.10987985openalex-snapshot
Efficient Source-Level Waste Segregation Using CNN-Based Waste Classifier with IoT-Enabled Smart Bins and Mobile Application
inferred← citeshttps://doi.org/10.1109/gcitc60406.2023.10426067openalex-snapshot
TrashIntelAI- Garbage Collection Automation using Deep Learning and Image Processing
inferred← citeshttps://doi.org/10.1109/i2ct51068.2021.9418056openalex-snapshot
Cleanliness Automation: YOLOv3
inferred← citeshttps://doi.org/10.1109/ic3ecsbhi63591.2025.10990925openalex-snapshot
Smart Waste Management System: A Comprehensive Approach to Automated Waste Segregation and Air Quality Monitoring
inferred← citeshttps://doi.org/10.1109/icacte55855.2022.9943600openalex-snapshot
Trash Classification Network Based on Attention Mechanism
inferred← citeshttps://doi.org/10.1109/icaeee62219.2024.10561816openalex-snapshot
Sustainable Waste Management System Using Artificial Intelligence and Satellite Communication: A Case Study
inferred← citeshttps://doi.org/10.1109/icbds61829.2024.10837353openalex-snapshot
Intelligent Waste Sorting System Using Deep Learning
inferred← citeshttps://doi.org/10.1109/icc-robins60238.2024.10534019openalex-snapshot
Deep Learning - based Hybrid Image Classification Model for Solid Waste Management
inferred← citeshttps://doi.org/10.1109/iccces62661.2026.11436825openalex-snapshot
AI-Driven Waste Segregation Using Convolutional and Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/iccci56745.2023.10128382openalex-snapshot
A Hierarchical Waste Segregation Using Smart Dustbin
inferred← citeshttps://doi.org/10.1109/iccmc69250.2026.11625015openalex-snapshot
High Accuracy AI Powered Smart Waste Segregation Embedded Systems
inferred← citeshttps://doi.org/10.1109/iccr60000.2023.10444846openalex-snapshot
Research on the Recognition and Classification of Recyclable Garbage in a Complex Environment Based on Improved YOLOv8s
inferred← citeshttps://doi.org/10.1109/iccsce54767.2022.9935653openalex-snapshot
Domestic Trash Classification with Transfer Learning Using VGG16
inferred← citeshttps://doi.org/10.1109/icdabi53623.2021.9655829openalex-snapshot
Waste Classifications Using Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/iceast.2019.8802522openalex-snapshot
Municipal Solid Waste Segregation with CNN
inferred← citeshttps://doi.org/10.1109/icercs57948.2023.10434170openalex-snapshot
Deep Learning-Based Waste Classification: Enhancing Recycling Efficiency and Sustainability
inferred← citeshttps://doi.org/10.1109/icesc60852.2024.10690126openalex-snapshot
Efficient Waste Classification in Recycling Industries
inferred← citeshttps://doi.org/10.1109/icesc65114.2025.11212299openalex-snapshot
Accurate Waste Bottle Segregation on Small Unbalanced Datasets by Pipelining DL Model with Classifiers
inferred← citeshttps://doi.org/10.1109/ichms69701.2026.11602292openalex-snapshot
Automated Diagnostic Evaluation of Vision-Guided Waste Sorting Via LLMs
inferred← citeshttps://doi.org/10.1109/icicas51530.2020.00071openalex-snapshot
Waste Sorting System Using Binarized Neural Network
inferred← citeshttps://doi.org/10.1109/iciptm52218.2021.9388369openalex-snapshot
Smart Robot for Collection and Segregation of Garbage
inferred← citeshttps://doi.org/10.1109/icmla55696.2022.00019openalex-snapshot
Recycling Material Classification using Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/icoten52080.2021.9493430openalex-snapshot
Solid Waste Classification Using Deep Learning Techniques
inferred← citeshttps://doi.org/10.1109/icrcv55858.2022.9953251openalex-snapshot
A Household Garbage Classification and Collection Device Based on Machine Vision and Deep Learning
inferred← citeshttps://doi.org/10.1109/icscna58489.2023.10370175openalex-snapshot
Internet of Things Assisted Automated Ransomware Recognition using Harmony Search Algorithm with Deep Learning
inferred← citeshttps://doi.org/10.1109/icsece65727.2025.11256942openalex-snapshot
A Low-overhead Framework for Trash Classification Based on DenseNet
inferred← citeshttps://doi.org/10.1109/icsipa52582.2021.9576771openalex-snapshot
Training Convolutional Neural Networks to Detect Waste in Train Carriages
inferred← citeshttps://doi.org/10.1109/icssit53264.2022.9716437openalex-snapshot
CNN Based Smart Bin for Waste Management
inferred← citeshttps://doi.org/10.1109/ictbig68706.2025.11323614openalex-snapshot
A Deep Learning Approach for Electronic Waste Management and Classification in Smart Cities
inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9533720openalex-snapshot
An Efficient and Low-Cost FPGAs-Accelerated CNN-Based Edge Intelligent Garbage Classification System on ZYNQ
inferred← citeshttps://doi.org/10.1109/incip64058.2025.11020299openalex-snapshot
Development of Datasets to Detect and Classify the Waste by Using Deep Learning
inferred← citeshttps://doi.org/10.1109/isac364032.2025.11156774openalex-snapshot
A Vision based Deep-Learning Approach for Solid Waste Management towards Sustainable Environment in India
inferred← citeshttps://doi.org/10.1109/isetc56213.2022.10010184openalex-snapshot
Automatic Waste Segregation System
inferred← citeshttps://doi.org/10.1109/isitia56226.2022.9855374openalex-snapshot
A Convolutional Neural Network Based on Transfer Learning for Medical Waste Classification During Pandemic Covid-19
inferred← citeshttps://doi.org/10.1109/isncc58260.2023.10323940openalex-snapshot
SmartyBin: A Tangible AI-Based Waste Classification Prototype
inferred← citeshttps://doi.org/10.1109/ist50367.2021.9651347openalex-snapshot
Dual-Branch CNN for the Identification of Recyclable Materials
inferred← citeshttps://doi.org/10.1109/nics51282.2020.9335897openalex-snapshot
Automated Waste Sorting Using Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/peccii70991.2026.11662076openalex-snapshot
TriFusionNet: A Hybrid CNN–Transformer Fusion Architecture for Solid Waste Classification
inferred← citeshttps://doi.org/10.1109/peeiacon63629.2024.10800136openalex-snapshot
SHIFT-T: A Low-Cost Autonomous Mobile Robot for Trash Collection and Sorting for Effective Waste Management
inferred← citeshttps://doi.org/10.1109/sceecs54111.2022.9740863openalex-snapshot
Real-time mobile application for classifying solid waste material into recyclable and non-recyclable using Image Recognition and Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/silcon55242.2022.10028950openalex-snapshot
An Ensembling Approach for Efficient Waste Classification
inferred← citeshttps://doi.org/10.1109/southeastcon44009.2020.9249739openalex-snapshot
Trash and Recycled Material Identification using Convolutional Neural Networks (CNN)
inferred← citeshttps://doi.org/10.1109/temsconlatam61834.2024.10717748openalex-snapshot
Artificial Intelligence Models Based on Computer Vision for Solid Waste Classification: a Proposal
inferred← citeshttps://doi.org/10.1111/coin.12495openalex-snapshot
Retracted: IoT incorporated deep learning model combined with SmartBin technology for real‐time solid waste management
inferred← citeshttps://doi.org/10.1111/exsy.12865openalex-snapshot
I nternet of things and machine learning‐based approaches in the urban solid waste management: Trends, challenges, and future directions
inferred← citeshttps://doi.org/10.1117/12.3060853openalex-snapshot
Application of visual recognition technology in machine learning-driven waste sorting
inferred← citeshttps://doi.org/10.1134/s1054661825700506openalex-snapshot
A Deep Learning-Based Wet Waste Management System
inferred← citeshttps://doi.org/10.1142/s0218126624501780openalex-snapshot
Monitoring Rubbish on Roads in Real Time by Deep Neural Network
inferred← citeshttps://doi.org/10.1145/3377170.3377190openalex-snapshot
Automatic Classifications and Recognition for Recycled Garbage by Utilizing Deep Learning Technology
inferred← citeshttps://doi.org/10.1145/3384419.3430441openalex-snapshot
The ZotBins solution to waste management using internet of things
inferred← citeshttps://doi.org/10.1145/3424978.3425089openalex-snapshot
Optimization of CNN-based Garbage Classification Model
inferred← citeshttps://doi.org/10.1145/3624875.3624897openalex-snapshot
Using Artificial intelligence for Recycling- A Case Study in Taiwan's Resource Recycling Industry
inferred← citeshttps://doi.org/10.1145/3715335.3736312openalex-snapshot
Smart Waste Management: Deep Learning-Based Garbage Classification for Sustainability
inferred← citeshttps://doi.org/10.1155/2019/8613639openalex-snapshot
Deep Learning Network for Multiuser Detection in Satellite Mobile Communication System
inferred← citeshttps://doi.org/10.1155/2022/2063372openalex-snapshot
[Retracted] A Novel Strategy for Waste Prediction Using Machine Learning Algorithm with IoT Based Intelligent Waste Management System
inferred← citeshttps://doi.org/10.1155/2022/2073482openalex-snapshot
Artificial Intelligence-Based Robotic Technique for Reusable Waste Materials
inferred← citeshttps://doi.org/10.11591/ijece.v13i3.pp3407-3419openalex-snapshot
A review of hyperspectral imaging-based plastic waste detection state-of-the-arts
inferred← citeshttps://doi.org/10.11591/ijece.v13i4.pp3903-3912openalex-snapshot
Automated home waste segregation and management system
inferred← citeshttps://doi.org/10.1177/0734242x211033716openalex-snapshot
Application of machine learning algorithms in municipal solid waste management: A mini review
inferred← citeshttps://doi.org/10.1177/0734242x211052846openalex-snapshot
Application of artificial intelligence to enhance collection of E-waste: A potential solution for household WEEE collection and segregation in India
inferred← citeshttps://doi.org/10.1177/0734242x261444140openalex-snapshot
Current advances and applications of artificial intelligence for smart municipal solid waste management: A review
inferred← citeshttps://doi.org/10.1177/09544062241240395openalex-snapshot
Multilevel-thermoplastic waste segregation using Archimedes Henry gas solubility trained deep quantum network
inferred← citeshttps://doi.org/10.1371/journal.pone.0316930openalex-snapshot
Smart waste classification in IoT-enabled smart cities using VGG16 and Cat Swarm Optimized random forest
inferred← citeshttps://doi.org/10.14569/ijacsa.2022.0130347openalex-snapshot
Deep Learning Applications in Solid Waste Management: A Deep Literature Review
inferred← citeshttps://doi.org/10.14569/ijacsa.2022.01309105openalex-snapshot
Cloud based Forecast of Municipal Solid Waste Growth using AutoRegressive Integrated Moving Average Model: A Case Study for Bengaluru
inferred← citeshttps://doi.org/10.1520/ssms20190032openalex-snapshot
A Standardized PMML Format for Representing Convolutional Neural Networks with Application to Defect Detection
inferred← citeshttps://doi.org/10.1556/1848.2022.00390openalex-snapshot
An IoT aware nature inspired Multilayer Hybrid Dropout Deep-learning paradigm for waste image classification and management
inferred← citeshttps://doi.org/10.1680/jwarm.24.00008openalex-snapshot
To what extent solid waste could be managed through intelligent approaches?
inferred← citeshttps://doi.org/10.17485/ijst/v14i2.2137openalex-snapshot
Enhanced segmentation network with deep learning for Biomedical waste classification
showing the first 200 of 266
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.