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

VR-Motion Capture Method Design for the Teaching of Spinning Fitness Games in Universities

Hongzhou Ma,Jiezhong Wu*

#Fitness games #Kinect #Motion capture #Virtual reality #Graph convolutional neural network #Ensemble learning

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

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

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

Multi-Classification of Chest X-Ray Images Using an Enhanced Deep Learning Approach

Revathi Annam,Savadam Balaji

#Lung diseases #CXR images #gaussian filtering #enhanced resnet50v2 #and enhanced deeplabv3+

Intelligent Clothing Design Interaction System Based on Multimodal Learning

Ting Zhou

#Multimodal learning #AI-assisted fashion design #computer vision #natural language processing #generative design models #user-centric fashion AI #interactive design process

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

Construction of Educational Resource System Based on Mahout Collaborative Filtering Algorithm

Guiyong Zhu

#Multi-dimensional feature fusion #collaborative filtering algorithm #personalized recommendation #educational resource system #deep learning

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

A Bimodal Emotion Recognition Algorithm for Audio and Video Based on Emotion Modeling

Yang Liu,Shudan Feng,*Corresponding author

#Audio #video #fourier transform #soundnet neural network #recurrent neural network #long and short-term memory network

Sensitive Data Detection of Social Network Based on Improved Random Forest Algorithm

Weiyan Tang,Jun Luo

#Random forest algorithm #web crawler #naive bayes #sensitive data #feature extraction #data detection

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

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

A Silicosis-Focused Hybrid Architecture Leveraging Enhanced Segmentation and Feature Based Classification

Shivaanivarsha Natarajan,Kavipriya Periyasamy

#Deep learning #lung disease #silicosis #segmentation #UNet

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