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

Privacy Protection and Security Defense of Federated Learning Big Data Based on Differential Privacy

Jinmei Li

#Differential privacy #federated learning #DCT #data protection #security defense

Systematic Review of Artificial Intelligence Techniques for Blood Glucose Predicting in Diabetes

Mohammed Alotaibi,Osama Moh’d Alia

#Artificial intelligence #blood glucose prediction #deep learning #diabetes management #hypoglycemia prediction #hyperglycemia prediction #machine learning

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

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

Assessing the Effectiveness of LLMs as Autonomous Solvers for University Course Timetabling

Basma Alharbi

#Automated scheduling #combinatorial optimization #constraint satisfaction problems #curriculum-based course timetabling #ITC-2007 benchmark #large language models

Graph Convolutional Networks for Email Sentiment Analysis: A Joint Modeling Framework Integrating Behavioral and Linguistic Features

Rongli Tang

#GCN #email sentiment analysis #joint modeling #behavioral features #sentiment classification

TSRL: Boosting IoT Edge Time Series Database Scalability through Lightweight Rate Limiter

Ahmed El-Naggar,Magdy Nagi,Sahar Ghanem

#IoT #edge computing #time series #database #rate limiter

Cognitive-Fuzzy Learning System-Based University English Smart Classroom Teaching Design and Application

Ningyi Lai

#Real -time teaching strategies #cognitive -fuzzy learning systems #smart classrooms #adaptive learning model #fuzzylogic in education #university english teaching #language education technolog y

A Fuzzy Decision System for Providing Emotional Support to College Students via Customization

Guoan Liu,Zumeng Wang,Peihua Xu,Heung Kou

#Fuzzy multicriteria decision-making #emotional support #customization #mamdani fuzzy inference

Adversarially-Resilient Deep Learning Framework for Detecting Evasive Cyber Threats in Network Traffic

Nasser Alsharif

#adversarial #deep Learning #IDS #network traffic #cyber threats

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

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

The Demonstration of Generative AI in the Development of Process Architecture: The Case of Bank Deposits

Mohammad Sabri,Ahmad Samhan,Ghassan Samara,Sami Abuezhayeh,Mahmoud Odeh,Sulieman Mohammad

#Business process architecture #Riva method #GAI #ChatGPT #DeepSeek #process modelling #large language models

Unraveling the Dynamics of Fake News and Misinformation on Twitter: A Comprehensive Exploration

Amna Hassan,Kashfia Sailunaz,Mehmet Kaya,Mehmet K. Ozdemir,Jon Rokne,Reda Alhajj

#Network analysis #machine learning #psychological drivers #combating misinformation #twitter (X)

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

Secure Bilinear Zooming Steganography for Enhancing QR Code Image Quality and Information Security

Nuur Alifah Roslan,Adnan Gutub,Rahmita Wirza Rahmat,Fatimah Khalid,Nur Izura Udzir

#QR code steganography; QR code; image manipulation; information security; steganography

Optimized Predictive Modeling of Lane-Specific Vehicle Time Gaps for Traffic Flow and Road Management

Haiyun Sun,Bian Ke,Junlin Sha,Shidi Wu,Menglu Chen

#Time gap #lane-specific factors #traffic management #machine learning #prediction

Unlocking Decision-Making Performance through Data Governance and Availability: Structural and Predictive Evidence from Jordan

Nasim Matar,Amneh Aljaber,Wasef Mater

#Decision-making #resource-based theory #structural equation modelling #multiple regression

VR-Motion Capture Method Design for the Teaching of Spinning Fitness Games in Universities

Hongzhou Ma,Jiezhong Wu*

#Fitness games #Kinect #Motion capture #Virtual reality #Graph convolutional neural network #Ensemble learning