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

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

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+

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

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

Neural Volumetric Representations for Real-Time 3D Scene Reconstruction using Multi-Modal Learning Algorithm

Pidatala Babu,Preeti Jha

#Deepvoxels #neural rendering technique #NeRF #MMLA

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

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

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

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

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

Dabiah Alboaneen

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

Unsupervised Convolutional Autoencoder Framework for Multimodal Medical Image Fusion in Brain Tumour Diagnosis

Saravanan Vijayan,Malarvizhi Subramani

#Unsupervised learning #autoencoders #image fusion #medical images #brain tumours

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

An Improved Taylor Hyperbolic Tangent and Sigmoid Activations for Avoiding Vanishing Gradients in Recurrent Neural Nets

Tirupati Gullipalli,Krishna Murali,Srinivasa Peri

#Vanishing gradient #taylor expansion #functional approximation #sigmoid #hyperbolic tangent #neural networks