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A Survey of Industrial AIoT: Opportunities, Challenges, and Directions

https://doi.org/10.1109/access.2024.3426279
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Generative adversarial networks based remaining useful life estimation for IIoT
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Machine and deep learning amalgamation for feature extraction in Industrial Internet-of-Things
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A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
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CNN based method for the development of cyber-attacks detection algorithms in industrial control systems
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Dataset of anomalies and malicious acts in a cyber-physical subsystem
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AIoT-enabled digital twin system for smart tunnel fire safety management
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Computer vision detection of foreign objects in coal processing using attention CNN
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Fog-cloud based cyber-physical system for distinguishing, detecting and preventing mosquito borne diseases
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A smart agriculture IoT system based on deep reinforcement learning
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Smart parking systems: comprehensive review based on various aspects
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Edge computational task offloading scheme using reinforcement learning for IIoT scenario
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Industrial intrusion detection based on the behavior of rotating machine
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Method to assess the adherence of internal logistics equipment to the concept of CPS for industry 4.0
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A novel approach based on adaptive online analysis of encrypted traffic for identifying Malware in IIoT
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IoT-based smart homes: A review of system architecture, software, communications, privacy and security
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Forecasting multiple waste collecting sites for the agro-food industry
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The effects of smart-parking on transit and traffic: Evidence from SFpark
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A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing
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A survey of the advancing use and development of machine learning in smart manufacturing
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Application of the artificial neural network method to detect defective assembling processes by using a wearable technology
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Detecting anomalies in time series data from a manufacturing system using recurrent neural networks
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Multi-grade brain tumor classification using deep CNN with extensive data augmentation
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Deep learning fault diagnosis method based on global optimization GAN for unbalanced data
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Image-based Plant Diseases Detection using Deep Learning
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Spatial correlation and temporal attention-based LSTM for remaining useful life prediction of turbofan engine
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A novel autonomous irrigation system for smart agriculture using AI and 6G enabled IoT network
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An overview on Restricted Boltzmann Machines
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A review on the attention mechanism of deep learning
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P2PFaaS: A Framework for FaaS Peer-to-Peer Scheduling and Load Balancing in Fog and Edge Computing
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A novel decision support system for managing predictive maintenance strategies based on machine learning approaches
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A privacy-preserving resource trading scheme for Cloud Manufacturing with edge-PLCs in IIoT
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Efficient extraction of deep image features using convolutional neural network (CNN) for applications in detecting and analysing complex food matrices
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Rethinking performance based parking pricing: A case study of SFpark
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Artificial intelligence applications in solid waste management: A systematic research review
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Artificial intelligence for fault diagnosis of rotating machinery: A review
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The MetroPT dataset for predictive maintenance
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The European Union General Data Protection Regulation: What It Is And What It Means
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Application of a supervised learning machine for accurate prognostication of higher heating values of solid wastes
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Intelligent manufacturing in the context of industry 4.0: A case study of siemens industry
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Increasing the Safety in Recycling of Construction and Demolition Waste by Using Supervised Machine Learning
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Model Expert System for Diagnosis of Covid-19 Using Naïve Bayes Classifier
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Diagnostic performance of artificial intelligence to detect genetic diseases with facial phenotypes
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Adoption of internet of things (IoT) in the agriculture industry deploying the BRT framework
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Sensor Fault Classification Based on Support Vector Machine and Statistical Time-Domain Features
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Internet of Things for Smart Healthcare: Technologies, Challenges, and Opportunities
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A Fault Detection and Health Monitoring Scheme for Ship Propulsion Systems Using SVM Technique
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A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective
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Generative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery
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Data Management in Industry 4.0: State of the Art and Open Challenges
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Towards a Fog Enabled Efficient Car Parking Architecture
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A Survey on Deep Learning Empowered IoT Applications
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An Integrated Method for High-Dimensional Imbalanced Assembly Quality Prediction Supported by Edge Computing
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Future Trends and Current State of Smart City Concepts: A Survey
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Digital Twin: Enabling Technologies, Challenges and Open Research
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Analysis for Disease Gene Association Using Machine Learning
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Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook
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Fault Diagnosis of Bearings Based on Multi-Sensor Information Fusion and 2D Convolutional Neural Network
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Edge Intelligence for Data Handling and Predictive Maintenance in IIOT
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A Novel Deep Learning Based Automated Academic Activities Recognition in Cyber-Physical Systems
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Deep Learning-Based Mobile Application Design for Smart Parking
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Long Short-Term Memory Networks for Facility Infrastructure Failure and Remaining Useful Life Prediction
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Convergence of Artificial Intelligence and Internet of Things in Smart Healthcare: A Case Study of Voice Pathology Detection
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Federated Transfer Learning for IIoT Devices With Low Computing Power Based on Blockchain and Edge Computing
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Deep Learning for Analysis of Collagen Fiber Organization in Scar Tissue
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Experimental Setup for Online Fault Diagnosis of Induction Machines via Promising IoT and Machine Learning: Towards Industry 4.0 Empowerment
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Optimized Feature Selection Based on a Least-Redundant and Highest-Relevant Framework for a Solar Irradiance Forecasting Model
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Federated Learning-Based Explainable Anomaly Detection for Industrial Control Systems
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A Deep Learning Model for Remaining Useful Life Prediction of Aircraft Turbofan Engine on C-MAPSS Dataset
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GPT and Interpolation-Based Data Augmentation for Multiclass Intrusion Detection in IIoT
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Revolutionizing Cyber Threat Detection With Large Language Models: A Privacy-Preserving BERT-Based Lightweight Model for IoT/IIoT Devices
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A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges
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Artificial Intelligence and Internet of Things for Robotic Disaster Response
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Enabling of Predictive Maintenance in the Brownfield through Low-Cost Sensors, an IIoT-Architecture and Machine Learning
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Recycle.io: An IoT-Enabled Framework for Urban Waste Management
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Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges
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Machine Learning for Threat Recognition in Critical Cyber-Physical Systems
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A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection
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Home Surveillance System using Computer Vision and Convolutional Neural Network
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Interpretable Machine Learning: A brief survey from the predictive maintenance perspective
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Long-Term Prediction of Remaining Useful Life for Industrial IoT
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Wireless requirements and challenges in Industry 4.0
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Intelligent Internet of things service based on artificial intelligence technology
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Delay Guaranteed Energy-Efficient Computation Offloading for Industrial IoT in Fog Computing
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Multi-Level Smart Parking System
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Prediction of Remaining Useful Lifetime (RUL) of turbofan engine using machine learning
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CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training
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XAI Handbook: Towards a Unified Framework for Explainable AI
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The Role of Artificial Intelligence and the Internet of Things in the Development of Medical Radiology (An Experimental Study on Magnetic Resonance Imaging)
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A Serverless IoT Architecture for Smart Waste Management Systems
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NB-IoT based Tree Health Monitoring System
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A Novel Intrusion Detection System for RPL-Based Cyber–Physical Systems
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Data-driven failure analysis for the cyber physical infrastructures
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Leveraging IoT and Fog Computing in Healthcare Systems
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Intelligent Fault Diagnosis Mechanism for Industrial Robot Actuators using Digital Twin Technology
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Image processing and machine learning applications in mining industry: Mine 4.0
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The application of artificial intelligence in the internet of things
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inferredcites →https://doi.org/10.1109/jbhi.2022.3178660openalex-snapshot
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inferredcites →https://doi.org/10.1109/jestpe.2020.2968243openalex-snapshot
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inferredcites →https://doi.org/10.1109/jiot.2016.2579198openalex-snapshot
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inferredcites →https://doi.org/10.1109/jiot.2017.2722358openalex-snapshot
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inferredcites →https://doi.org/10.1109/mcc.2016.91openalex-snapshot
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showing the first 200 of 347

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Towards Zero-Waste Circular Supply Chains, Big Data-Driven Predictive Analytics, and Blockchain-Enabled Green Logistics 5.0
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Artificial Intelligence of Things (AIoT)
inferred← citeshttps://doi.org/10.4018/979-8-3693-8547-0.ch002openalex-snapshot
Shaping Intelligent Connectivity Using AI and IoT
inferred← citeshttps://doi.org/10.4018/979-8-3693-8547-0.ch008openalex-snapshot
AIoT-Enabled Smart Homes Solution to Security, Comfort, and Energy Efficiency
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IoT ve AIoT’ye Giriş: Kavramlar, Mimari Yaklaşımlar ve Uygulama Alanları
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.