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

Bridging the Gap: Ensemble Learning-Based NLP Framework for AI-Generated Text Identification in Academia

Layth Hazim,Oguz Ata

#Large language models #AI-generated text #human-written text #exploratory data analysis #NLP #ensemble learning

Enhancing Smart Farming with IoT Sensors Using FRPGW and HALSTM for Accurate Predictions

Fathima ShreneShifna,Baalaji Kadarkarai

#IoT smart farming #agriculture #FRPGW #HALSTM #ANN #LSTM

Malware Detection through Memory Forensics and Windows Event Log Analysis

Dinesh Patil,Akshaya Prabhu

#Malware #windows event logs #code section #main memory analysis #main memory structures #VAD #volatile memory

Evaluation of Deep Learning Models for Remote Sensing Segmentation and Classification

SaiVenkataLakshmi Ananth,Suryakanth Gangashetty

#Semantic segmentation #deep learning #VGG16 #classification #remote sensing #densenet201-CNN #U-net #deeplabV3+

Enhancing Motor Imagery EEG Classification Accuracy Using Weight Features Function

Abdel Fateh Doudou,Aicha Reffad,Kamel Mebarkia

#brain-computer interface #features extraction #genetic algorithm #motor imagery #SVM classifier

Stimulating the Efficiency of Massive MIMO Cooperative NOMA Applying RIS in 6G Networks

Mohamed Hassan,Khalid Hamid,Elmuntaser Hassan,Imadeldin Elmutasim,Izzeldin Mohamed

#Cooperative NOMA #massive MIMO #CR #RIS #SE #millimeter-wave

Triple Transformer Ensemble Fusion Method for Pox Virus Classification

K.P. Haripriya,H. Hannah Inbarani

#Vision transformer #DEiT #mobile_ViT transformer #ensemble methods #classification #medical images

Innovative Approach for Brain Tumor Image Classification with Novel Optimized Feedforward Networks

Raafat Munshi

#Brain tumor image classification #AMFO-FNN #gaussian filter #GLCM #medical imaging

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

Campus Network Security Situation Awareness Based on AHP and Nadam Algorithm

Liwen Xu

#Network security #situation awareness #analytic hierarchy process #nadam algorithm #long and short-term memory network

Exploring the Intersection of Information Theory and Machine Learning

Yousef Jaradat,Mohammad Masoud,Ahmad Manasrah,Mohammad Alia,Khalid Suwais,Sally Almanasra

#Information theory #machine learning #entropy #mutual information #information bottleneck

An Efficient Integrity and Authenticated Elliptic Curve Cryptography Algorithm for Secure Storage and Routing in TLS/SSL

Josepha Menandas,Mary Subaja

#Elliptic curve cryptography #transport layer security #confidentiality #authentication #integrity #chinese remainder theorem #hash algorithm #point arithmetic

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

Using Fuzzy Clustering Models to Predict User Demand in Precision Marketing of Cross-Border E-Commerce

Jianzhong Li,Fengwei Zhang,Nana Liu

#Cross border #e-commerce #fuzzy c-means #stagnancy degree

Deep Learning-Based Control System for Context-Aware Surveillance Using Skeleton Sequences from IP and Drone Camera Video

Vasavi Sanikommu,Sobhana Mummaneni,Novaline Jacob,Emmanuel Sanjay Raj K.C,Bhartendra Kumar,Radha Devi Pullur Variam

#Computer vision #human activity recognition #face recognition #crowd video surveillance #deep learning #feature extraction

Transformer-Based Text Summarization: A Deep Learning Approach with Hybrid Optimization

Dabiah Alboaneen

#Deep learning #text summarization #transformer #optimization #extractive and abstractive

Adaptive Red Panda Optimization for Feature Extraction in Diabetic Retinopathy Detection Using Deep Learning

Mahesh Ramakrishnappa,Rohith Shivashankar

#Diabetes #diabetic retinopathy detection #convolutional neural network #U-net #red panda optimization