A Comprehensive Review of AI Techniques for Resource Management in Fog Computing: Trends, Challenges and Future Directions

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Load Balancing Algorithms in Fog Computing

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Offloading Mechanisms Based on Reinforcement Learning and Deep Learning Algorithms in the Fog Computing Environment

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Demand-Driven Deep Reinforcement Learning for Scalable Fog and Service Placement

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Computation Offloading and Wireless Resource Management for Healthcare Monitoring in Fog-Computing-Based Internet of Medical Things

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An autonomous architecture based on reinforcement deep neural network for resource allocation in cloud computing

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AI and Blockchain Assisted Framework for Offloading and Resource Allocation in Fog Computing

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Deadline and Energy-Aware Application Module Placement in Fog-Cloud Systems

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Swarm Decision Table and Ensemble Search Methods in Fog Computing Environment: Case of Day-Ahead Prediction of Building Energy Demands Using IoT Sensors

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Deep Reinforcement Learning based Dynamic Edge/Fog Network Slicing

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An Intelligent Adaptive Algorithm for Servers Balancing and Tasks Scheduling over Mobile Fog Computing Networks

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Fog Node Selection for Low Latency Communication and Anomaly Detection in Fog Networks

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Distributed Machine Learning for IoT Applications in the Fog

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A Computational Intelligence Approach to Predict Energy Demand Using Random Forest in a Cloudera Cluster

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Green Demand Aware Fog Computing: A Prediction-Based Dynamic Resource Provisioning Approach

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A Novel Energy-aware Scheduling and Load-balancing Technique based on Fog Computing

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A Survey on Load Balancing Techniques in Fog Computing

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Fog Computing Enabled Locality Based Product Demand Prediction and Decision Making Using Reinforcement Learning

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A fuzzy computational approach for selecting interdependent projects using prioritized criteria

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Deep Learning and Fog Computing: A Review

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Transfer Learning-powered Resource Optimization for Green Computing in 5G-Aided Industrial Internet of Things

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Deep Reinforcement Learning Empowered Resource Allocation in Vehicular Fog Computing

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Nature Inspired Feature Selection Approach for Effective Intrusion Detection

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Optimal Cache Resource Allocation Based on Deep Neural Networks for Fog Radio Access Networks

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Improved Political Optimizer and Deep Neural Network-based Resource Management Strategy for fog Enabled Cloud Computing

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Fog Computing and Industry 4.0 for Newsvendor Inventory Model Using Attention Mechanism and Gated Recurrent Unit

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A CNN Based Anomaly Detection System for Real Time Fog Based Application

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Reinforced resource management in vehicular fog computing using deep beacon power control protocol

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Reinforcement Learning-Based Resource Allocation in Fog Networks

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An advanced ensemble load balancing approach for fog computing applications

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A Review Load balancing algorithms in Fog Computing

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Load Balancing Based on Many-objective Particle Swarm Optimization Algorithm with Support Vector Regression in Fog Computing

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Application Placement in Fog-Enabled Internet of Things (IoT) Healthcare System Using Body Sensor Networks

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A Task Offloading and Reallocation Scheme for Passenger Assistance Using Fog Computing

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Nature Inspired Meta-Heuristic Algorithms based Load Balancing in Fog Computing Environment

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Timely Anomalous Behavior Detection in Fog-IoT Systems using Unsupervised Federated Learning

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Intelligent Resource Provisioning and Optimization in Fog Computing using Deep Reinforcement Learning

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Multi-Service Demand Forecasting Using Graph Neural Networks

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Computation offloading using K-nearest neighbour time critical optimisation algorithm in fog computing

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A Dynamic Service Placement in Fog Infrastructure

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Dynamic Resource Allocation in Fog Radio Access Networks

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Dynamic Resource Allocation and Memory Management Using Machine Learning for Cloud Environments

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MVE-based Reinforcement Learning Framework with Explainability for improving Quality of Experience of Application Placement in Fog Computing

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Intelligent Service Provisioning in Fog Computing

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Resource Management Through Workload Prediction Using Deep Learning in Fog-Cloud Architecture

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The Use of Machine Learning in Fog Computing

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A Fog Based Customer Demand Forecasting (CDF) Strategy for Smart Grids Using IoT Technology

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A New Strategy for Reducing Latency with Deep Learning in Fog Computing Environment

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Edge-Cloud Synergy for AI-Enhanced Sensor Network Data: A Real-Time Predictive Maintenance Framework

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Deep Reinforcement Learning of Mobile Robot Navigation in Dynamic Environment: A Review

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A Hybrid CNN-LSTM Model With Attention Mechanism for Improved Intrusion Detection in Wireless IoT Sensor Networks

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Challenges and Opportunities in Fog Computing Scheduling: A Literature Review

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Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models

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AI-enhanced modelling of queueing and scheduling systems in cloud computing

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Field-deployable real-time AI System for chemical warfare agent detection using YOLOv8 and colorimetric sensors

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Thermodynamic Optimization of Building HVAC Systems Through Dynamic Modeling and Advanced Machine Learning

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AI-Augmented Netnography: Ethical and Methodological Frameworks for Responsible Digital Research

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A systematic review on security aspects of fog computing environment: Challenges, solutions and future directions

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Assessing Model Trade-Offs in Agricultural Remote Sensing: A Review of Machine Learning and Deep Learning Approaches Using Almond Crop Mapping

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Enhanced Task Scheduling With Metaheuristics for Delay and Energy Optimization in Cloud‐Fog Computing

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Evaluation of Optimization Algorithm for Application Placement Problem in Fog Computing: A Systematic Review

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Future of Telepresence Services in the Evolving Fog Computing Environment: A Survey on Research and Use Cases

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A Comprehensive Study of Resource Provisioning and Optimization in Edge Computing

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Adaptive resource management in dynamic Cyber–Physical Systems using Artificial Intelligence

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Priority-Aware Resource Reallocation in Edge Computing Using Reinforcement Learning

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AI-Enabled Energy Management for Sustainable Smart Greenhouses: An Integrated Review

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Local Cloud-Based Collaborative Learning vs Other IIoT Decentralized AI Solutions: A Systematic Literature Review

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FogScheduler: A resource optimization framework for energy-efficient computing in fog environments

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F-IRAN: Performance Analysis of 6G Fog Intelligent Radio Access Network

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Integration of DRL-driven edge computing for adaptive synthetic inertia allocation in grid-forming BESSs under spatial frequency variations

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Swarm Intelligence and Multi-Drone Coordination With Edge AI

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Energy‐Aware Optimisation for Off‐Grid ORAN With RIS and Edge Computing

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Smart renewable energy systems: the role of artificial intelligence in enhancing efficiency and reliability

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A Green and Secure Model for Fog Computing in Mobile Cloud Environments Using Containerization

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Energy Efficient Task Scheduling in Serverless Computing Using PSO and ACO Algorithms

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MAESTRO: A Multilayer Architecture Based on Fog Computing and SDN for Real-Time Emergency Routing in Urban Settings

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Edge and Fog Computing for Autonomous Network Management: A Comprehensive Survey

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Beyond TKIs: Advancing Therapeutic Frontiers with Immunotherapy, Targeted Agents, and Combination Strategies in Resistant Chronic Myeloid Leukemia

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AI-Driven Resource Allocation and Optimization in Video Streaming

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Heuristic-Flexible Ant Colony Optimization for Efficient Task Offloading in Fog Computing

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Fuzzy Logic and Fog Computing in Electronic Health Records Data Privacy: A Comprehensive Review

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A COMPREHENSIVE LITERATURE STUDY ON LOAD BALANCING METHODS IN CLOUD COMPUTING WITH INTERNET OF THINGS

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