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

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

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

Museum Design and Simulation Research Based on Embedded Systems and Symmetric Encryption Privacy Protection

Si Li,Hui Dai,Xiaoyuan Li,Yihua Wu

#Museum design #ChaCha20 encryption #lightweight encryption #end-to-end encryption #keystream block #data privacy #security and confidentiality

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

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

Intelligent Clothing Design Interaction System Based on Multimodal Learning

Ting Zhou

#Multimodal learning #AI-assisted fashion design #computer vision #natural language processing #generative design models #user-centric fashion AI #interactive design process

Enhanced IIoT Security: A Hybrid Intrusion Detection Framework Using Signature-Based and Deep Learning Approaches

Komal Bansal,Anita Singhrova

#Deep learning #machine learning #information security #anomaly detection #IIDS #IIoT #GRU #GHA #SOA

Smart Agriculture Using Real-Time IoT-LoRa: Wheat Crop Disease Prediction and Irrigation Management Based on Machine Learning Models

Mohamed Sahnoun,Rachida Touhami,Smail Tedjini,Naim Ramou,Redouane Drai,Omar Kherif

#Smart agriculture #irrigation #IoT #LoRa #crop disease #deep learning #machine learning #fuzzy logic

Machine and Deep Learning Model for EMG Signal Classification: A New Performance-Cost Analysis Across CPU and GPU Architectures

Toka Fathi,Mohammed A M Abdullah,Basil Shukr

#EMG #GPU #decision trees #random forests #KNN #XGboost #LSTM #and CNN-LSTM

Swin Transformer-Enhanced UAV Surveillance: A Multi-Modal Feature Optimization for High-Precision Road Vehicles Detection

Nouf Abdullah Almujally,Ghulam Mujtaba,Shuaa S. Alharbi,Noif Alshammari,Ahmad Jalal

#Pattern recognition #traffic management #YOLOv10 #autonomous vehicles #intelligent traffic systems #track former #deeplabv3+

Strategic Optimization of Convergence and Energy in Federated Learning Systems

Ghassan Samara,Raed Alazaidah,Ibrahim Obeidat,Mohammad Aljaidi,Mahmoud Odeh,Alaa Elhilo,Sattam Almatarneh,Mo’ath Alluwaici,Essam Aldaoud

#Federated learning #convergence speed #energy efficiency #early stopping #CO₂ emissions #hill-climbing

ARCNet: A Novel Deep Learning Model for Robust Solid Waste Image Classification in Waste Management Systems

Velmurugan Lingamuthu,Devaraju Sellappan,Sakthivel Balu,Sheik Mohammed Abdul Raghabu,Aanjankumar Sureshkumar,Prabu Kanna Govindarajan

#Solid waste management #classification #ARCNet #global context attention module

Integrating UAV Networks and Edge Computing for Smart Cities: Architecture, Techniques, and Future Trends

Antima Jain,Mohammad Muqeem,Muhammad Uzair,Mohammad Ahmed,Anand Rajawat,Ahmad Khan*,Mohammad Hussain,Mohammad Hussain*,Arshad Ali

#UAVs #wearble devices #XAI #consumer electronics #personalized health monitoring #data transparency and ethics

A Novel Risk-Based Testing Framework for Distributed Agile Software Development

Esha Khanna,Rashmi Popli,Naresh Chauhan

#Test case prioritization #risk-based testing #distributed agile software development

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

Ecological Capacity Assessment of Forest Park Tourists by Integrating Attention Mechanisms and Remote Sensing Images

Qiaofeng Zhou

#Attention mechanisms #remote sensing imagery #tourist #ecological capacity

Federated Graph Neural Networks for Dynamic IoT Collaboration Optimization in Smart Home Environments

Cheng Zhang,Yuanquan Zhong

#IoT device collaboration #graph neural network #federated learning #graph structure #smart home

HECOCP: Hybrid Edge-Cloud Optimistic Concurrency Protocol for Sensor Data Transactional Services

Abdelraouf Ishtaiwi,Ahmad Nabot,Omar Alzubi,Awad Ramadan,Abdulbasit Darem,Asma Alhashmi,Mohammad Alauthman,Amjad Aldweesh

#Hybrid concurrency control #local validation #global validation #edge-cloud