Hybrid Ensemble Based Machine Learning Approach for Cardiovascular Disease Risk Prediction Using Multiple Integrated Datasets

Sravanthi Jakkula,Raju Bhukya

#Cardiovascular diseases #machine learning algorithms #stacked models #disease prediction

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

Inflammatory Bowel Disease Detection Using Machine Learning Techniques

Veerender Aerranagula,Raju Bhukya

#Bowel disease #crohn’s disease #machine learning

Binary Border Collie Optimization Algorithm for Feature Selection

Salah Mortada

#Metaheuristic #classification #real-world optimization #reduction

Binary Border Collie Optimization Algorithm for Feature Selection

Salah Mortada

#Metaheuristic #classification #real-world optimization #reduction

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

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

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

Pidatala Devendrababu,Preeti Jha

#Deepvoxels #neural rendering technique #NeRF #MMLA

Neural Volumetric Representations for Real-Time 3D Scene Reconstruction Using Multi-Modal

Learning Algorithm,Preeti Jha

#Deepvoxels #neural rendering technique #NeRF #MMLA

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

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

Neural Volumetric Representations for Real-Time 3D Scene Reconstruction Using Multi-Modal

Learning Algorithm, 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

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

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

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