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

HAL: A Centralized Multi-Agent Large Language Model System for Reliable Natural Language Hybrid Data Query and Decision Support in Power Grid Command Centers

China Southern Power Grid Company, Yuan La, Wanci Zhan g, Zhengrong Wu, Song Wang

#Natural language query # hybrid data fusion # large language model agent sys tem # decision support system # power grid command and control # distributed intelligent agents # explainable information retrieval

Multipath Routing Protocol: For Wireless Ad-hoc Networks Based on Fibonacci

Adnan Ahmad,Noor Mast,Faten Khalid Karim,Fasee Ullah,Carolina Del-Valle-Soto,Mohamad Khairi Ishak,Samih M. Mostafa,Jose Varela-Aldas

#Channel contention #CCBR #MCBR #multi-path routing #wireless ad hoc networks

A Systematic Review of Frameworks, Performance Metrics, and Threat Analysis in Blockchain-based E-Voting Systems

Muthu Meenakshi Ganesan,Sabeen Selvaraj

#Blockchain #blockchain frameworks #electronic voting #consensus #cryptography #scalability #threat analysis

Deep Learning-Based Degradation Detection and Inpainting of Tamil Nadu Temple Murals Using Transformer Networks and Diffusion Models

Ashwini Ramachandran,Vani Rajamanickam

#Art preservation #cultural heritage conservation #historical mural restoration #degradation detection #digital inpainting #swin transformer #stable diffusion

Enhancing IoV Integration: The Critical Role of Secure Data Transmission in IoT and Electric Vehicle Ecosystems

Faisal Faisal,Moamin Mahmoud,Abba Hassan,Salama Mostafa,Saraswathy Gunasekaran

#Internet of things #electric vehicles #internet of vehicles #security #data protection #blockchain #smart grid

Location-Based Routing Protocol with Optimized Data Aggregation for Vehicular Ad Hoc Networks (VANETs)

Abdelkrim Houacine,Mansour Mekour

#VANETs #dynamic routing #data efficiency #location-aware communication #mobility optimization

MXLPred: A Natural Language Processing Deep Learning Model for ICU Patients’ Data

Daphne Samuel,Mary Anita Rajam

#Deep learning #ensemble model #natural language processing #MIMIC-IV #regression #big query

A Machine Learning Attempt for Anatomizing Software Risks in Small and Medium Agile Enterprises

Ayesha Ziana Mohamed,Charles Jebapillai

#Software risk analysis #software risk classification #risk prediction #machine learning #agile software risk assessment

GNN-DQL-Based Chronic Kidney Disease Classification Using GFR in the Internet of Medical Things Environment

Bhavani Tatiparti,Vydeki Dharmar

#Deep learning #neural network #Q-learning #glomerular filtration rate #mayfly optimization #optimal features #parameter optimization #AMO

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 Improved Q-Learning Algorithm Integrated into the Aloha Anti-Collision Protocol for Energy-Efficient RFID Systems

Van-Hoa Le,Duc-Nhat-Quang Nguyen,Viet-Minh-Nhat Vo

#RFID system #aloha protocol #anti-collision #Q-learning #energy-efficiency

Empowering Intrusion Detection Systems: A Synergistic Hybrid Approach with Optimization and Deep Learning Techniques for Network Security

Ramya Chinnasamy,Malliga Subramanian,Nandita Sengupta

#Artificial neural network #deep learning #honey badger optimization #intrusion detection system

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

Inventory Optimization Using Data Science Technologies for Supply Chain 4.0

Emna Bouazizi,Ayman Khedr,Sherin Elfaioumy,Mohamed Belal

#Supply chain 4.0 #inventory management #regression algorithm #optimization

Using Deep Learning for Profitable Concrete Forecasting Methods

Ayat Al-Hinawi,Radwan Alelaimat

#Concrete performance prediction #machine learning #deep learning #construction management #regression

Enhanced Soccer Training Simulation Using Progressive Wasserstein GAN and Termite Life Cycle Optimization in Virtual Reality

Xiang Cheng,Pingping Zhang

#Football #progressive Wasserstein generative adversarial network #soccer training termite life cycle optimization #virtual reality

SHARD-FEMF: Adaptive Forensic Evidence Management Framework using Blockchain Sharding and IPFS

Praveen Dhulavvagol,Sashikumar Totad,Atrey Anagal

#Blockchain #sharding #ethereum #base64 #IPFS

A Comprehensive Microservice Extraction Approach Integrating Business Functions and Database Entities

Deepali Bajaj,Anita Goel,Suresh Gupta

#Microservices #static code analysis #microservice identification #software refactoring #database partitioning #move method refactoring

LWE Based Quantum-Resistant Pseudo-Random Number Generator

Atul Kumar,Arun Mishra

#Learning with errors #homomorphic function #pseudo-random number generator #homomorphic function #linear feedback shift register #NIST statistical test suite