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

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

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

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

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

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

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

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

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

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

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

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

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

An Effective Online Learning Course Recommendation Using Improved Deep Active Convolutional Neural Network Based Sentiment Analysis and Ranking

Roshan Bhanuse,Sandip Mal

#Text pre-processing #feature extraction #feature selection #optimization #sentiment analysis #online learning #recommendation

Perception of Natural Scenes: Objects Detection and Segmentations using Saliency Map with AlexNet

Muhammad Waqas Ahmed,Abdulwahab Alazeb,Naif Al Mudawi,Touseef Sadiq,Bayan Alabdullah,Hameed ur Rahman,Asaad Algarni,Ahmad Jalal

#Pattern recognition #alexNet #fish swarm algorithm #object detection