Unraveling the Dynamics of Fake News and Misinformation on Twitter: A Comprehensive Exploration

Amna Hassan,Kashfia Sailunaz,Mehmet Kaya,Mehmet K. Ozdemir,Jon Rokne,Reda Alhajj

#Network analysis #machine learning #psychological drivers #combating misinformation #twitter (X)

Optimized Predictive Modeling of Lane-Specific Vehicle Time Gaps for Traffic Flow and Road Management

Haiyun Sun,Bian Ke,Junlin Sha,Shidi Wu,Menglu Chen

#Time gap #lane-specific factors #traffic management #machine learning #prediction

Machine Learning-Based Forecasting and Optimization of Water and Energy Consumption in GCC Countries: A Path Toward Regional Sustainability

Mohammad Nasar,Mohammad Abu Kausar

#Machine learning #long short-term memory #prophet #arima #water management #energy management #gulf cooperation council #sustainable development #oman vision 2040

Optimizing Multimodal RAG Systems for Multilingual Product Support

Mudit Garg,Nandita Namboodiri,Krisha Joshi,Karthik Krishna,Deepali Vora

#Retrieval-augmented generation #multimodal language models #vision-language models #indic languages #AI for technical support

Machine Learning Perspective Sattam Almatarneh

Dept. Data Science and AI Zarqa UniversityZarqa,Jordan

#Islamic architecture #deep learning #machine learning classifiers #Histogram of Oriented Gradients (HOG) #LocalBinary Patterns (LBP) #Convolutional Neural Networks (CNNs) #image classificationReceived DD Month YYYY; accepted DD Month YYYYhttps://doi

Pattern Recognition in Islamic Architecture: Machine Learning Perspective

Sattam Almatarneh,Noura Qazza,Ahmad Al Smadi

#Islamic architecture #deep learning #machine learning classifiers #Histogram of Oriented Gradients (HOG) #LocalBinary Patterns (LBP) #Convolutional Neural Networks (CNNs) #image classificationReceived January 05 #2025; accepted March 15 #2025https://doi

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