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

Unlocking Decision-Making Performance through Data Governance and Availability: Structural and Predictive Evidence from Jordan

Nasim Matar,Amneh Aljaber,Wasef Mater

#Decision-making #resource-based theory #structural equation modelling #multiple regression

A Dual-Stage Lightweight Framework for Detecting Prompt Injections and Harmful Outputs in Large Language Models

Ali Altalbe,Bharathi Mohan Gurusamy

#Large language models #prompt injection detection #response safety filtering #distilbert #bias detection #adversarial prompt mitigation

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

Constrained Convolutional Neural Network Models for Optimizing Fully Connected Layer Weights in CNNs

Ugur Talas,Burakhan Cubukcu,Ugur Yuzgec

#Artificial intelligence #image classification #constrained #convolutional neural network #hyperparameter #deep learning

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

Deep Learning-Based Degradation Detection and Inpainting of Tamil Nadu Temple Murals Using Transformer Networks and Diffusion Models

Ashwini Ramachandran,Vani Rajamanickam

#Art preservation #cultural heritage conservation #historical mural restoration #degradation detection #digital inpainting #swin transformer #stable diffusion

Inflammatory Bowel Disease Detection Using Machine Learning Techniques

Veerender Aerranagula,Raju Bhukya

#Bowel disease #crohn’s disease #machine learning

An Analytical Model of Many-Core System Using N-Conjugate Shuffle Cluster (NCSC)

Mahmoud Obaid,Allam Abumwais,Suhail Odeh,Mahmoud Aldababsa,Rami Hodrob

#Many-core #interconnection network #n-conjugate shuffle #content addressable memory #scalability #reliability

Enhancing Software Development Efficiency Through User Stories Reuse from Application Descriptions

Indra Kharisma Raharjana,Avril Hermawan,Badrus Zaman,Shukor Sanim Mohd Fauzi

#Application description #requirements reuse #requirements elicitation #process innovation #user story

Binary Border Collie Optimization Algorithm for Feature Selection

Salah Mortada

#Metaheuristic #classification #real-world optimization #reduction

An Analytical Model of Many-Core System Using N-Conjugate Shuffle Cluster (NCSC)

Mahmoud Obaid,Allam Abumwais,Suhail Odeh,Mahmoud Aldababsa,Rami Hodrob

#Many-core #interconnection network #n-conjugate shuffle #content addressable memory #scalability #reliability

Enhancing Software Development Efficiency

Through User Stories Reuse from Application, Avril Hermawan, Badrus Zaman, Shukor Sanim Mohd Fauzi

#Application description # requirements reuse # requirements elicitation # process innovation # user story

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

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

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

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