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

Distilled Transformer for Climate Sentiment Analysis on Social Media

Kun Zhu,Nor Hasliza Md Saad

#Natural language processing #transformer models #sentiment classification #knowledge distillation #social media mining

Innovative Advertising Data Analysis Method: Workflow Design Based on Federated Learning and Large Language Models

Jialu Li

#Federated learning #large language models #advertising data analysis #privacy‑preserving recommendations #prompt engineering

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

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

MASNET-ESN: An Effective Deep Learning Based Automatic Medical Image Captioning

V S RATNA KUMARI A,Dr. Lalitha Kumari Pappala

#Medical image #MASNet #ESN #deep learning #TSA

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

EEG-Based Epileptic Seizure Detection Using Optimized Spatio-Temporal Graph CNN

Palepu Vijaya Santhi,Sarat K Kotamraju,ChSri Kavya

#Epileptic seizure detection #holistic dynamic frequency transformer #wader hunt optimization algorithm

Analyzing Consumer Mindset Metrics in Arabic Dialectical Texts on Social Media Platforms Using Deep Learning

Safa Al-Sarayreh,Mohd Husin,Noor Ibrahim

#Deep learning #consumer mindset #arabic dialectical texts #social media platforms #consumer behavior #NLP

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

Application of Fuzzy Decision Intelligent Recommendation System in Personalized Health Management of Hospitals

Yaping Ge,Kun Hu*,Yi Liu,Chen Zhang

#Intelligent system #healthcare recommendation system #decision support system #fuzzy neural network #multi-criteria decision making

Toward Human-Level Understanding: A Systematic Review of Vision-Language Models for Image Captioning

Ansar Hani,Najiba Tagougui,Monji Kherallah

#Image captioning #vision-language models #multimodal learning #large language models

Hybrid Transformer Framework for Domain Generated Algorithms Detection: A Fusion of Textual and Numeric Features

Suhad Malayshi,Ahmad Hasasneh*

#Domain generated algorithms #cybersecurity #hybrid deep learning #text transformers #multimodality #feature importance

An Efficient Hybrid Method for Coordinated Attacks Detection in NAN of Smart Grid

Vijayanand Radhakrishnan,Ulaganathan Meenakshisundaram,Ganeshkumar Pugalendhi,John Basha

#Packet based attack detection #Bi-LSTM #multi-head attention #NAN communication security #NS3 simulation