DRLD2D: Deep Reinforcement Learning-Based Optimized Routing for 5G Device-to-Device Net-works

Anu Mangal,Anjali Potnis,Murtaza Abbas Rizvi

#5G (D2D) networks #(MDP) #next hop selection #network performance enhancement #throughput #end to end delay #optimised routing #(DRL) #intelligent routing protocol

Adaptive Load Balancing in Multi-Cloud Systems Using ResFedLB for Load Balancing and RL-COSCoati with Fuzzy Fault Management

Damodhar MummiReddy,Choda Durga Venkata Subba Rao

#Multi -cloud load balancing #federated learning #ResFedLB #workload forecast ing #task scheduling #RL -COSCoati #fault identification

Towards Resilient Distributed Computing: A Self-Healing Fault Tolerance Framework Using Hybrid AI Models

Mohd Haroon, Zeeshan Ali Siddiqui, Mohammad Husain, Arshad Ali

#Fault tolerance # LSTM # Q -learning # self -healing systems # distributed computing # reinforcement learning # system resilience # MTTR

NS-PPO: A Two-Stage Data Resampling Framework for the Initial Phase of Software Defect Prediction

Xiaowei Zhao,Xuanye Wang,Siliang Suo,Lu Lu

#Software defect prediction #class imbalance #deep reinforcement learning

Multicasting Strategies for Increasing Network Efficiency in 5G Using Deep Learning

Wael AlZoubi,Hazem Hatamleh

#Multicasting #network performance #artificial intelligence #deep Q-networks #deep reinforcement learning #quality of service

An Enhanced Q-Learning MAC Protocol for Energy Efficiency and Convergence in Underwater Sensor Networks

Islam Ud Din,Irshad Abbasi,Sikandar Ali,Khalil Al Ruqeishi

#Q-Learning #under water sensor networks #MAC protocol #adaptive Q-Learning #energy efficiency

Focused Crawler Based on Reinforcement Learning and Decaying Epsilon-Greedy Exploration Policy

Parisa Begum Kaleel,Shina Sheen

#Focused web crawling #infertility #information retrieval #reinforcement learning

LoRaWAN Energy Optimization with Security Consideration

Ala Khalifeh1, Khaled Aldahdouh1 and Sahel Alouneh1,2 1School of Electrical Engineering and Information Technology, German Jordanian University, Jordan 2College of Engineering, Al Ain University, UAE

#LoRaWAN # transmission parameters # reinforcement learning # power consumption # Security # Confidentiality # Authentication

Reliability-Aware: Task Scheduling in Cloud Computing Using Multi-Agent Reinforcement

Learning Algorithm and Neural Fitted Q

#Reinforcement learning # multi-agent scheduler # neural fitted Q # reliability # cloud computing # queuing theory

A Distributed Framework of Autonomous Drones for Planning and Execution of Relief Operations during

Flood Situations

#Autonomous drones # flood relief operations # distributed systems # artificial intelligence # distributed collaboration

Applying Deep Convolutional Neural Network (DCNN) Algorithm in the Cloud Autonomous Vehicles Traffic Model

Dhaya Ramakrishnan,Kanthavel Radhakrishnan

#Cloud computing #neural network #prediction model #resource selection

Fuzzy Reinforcement Learning Rectilinear Follow-up of Trajectory per Robot

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