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

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

B-PACIoT: A Hybrid Blockchain-Based Framework for Scalable, Secure and Privacy-Preserving EHR Management in IoT-Driven Healthcare

Salma Begum S.,J. Arokia Renjit,Chandrasekar Arumugam

#Blockchain-IoT integration #hybrid blockchain architecture #decentralized EHR management #privacy-preserving access control and healthcare data management

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

Information Security Protection of Digitized Archives Based on State Secret Algorithms

Fen Wang

#national secret algorithm #SM2 algorithm #SM4 algorithm #digital archives information; safety protection

An Intelligent Backup Method for Hospital Information Data Based on Improved Harris Hawk Algorithm

Mengyan Xu,Yanwei Qu

#Improved harris hawk algorithm #hospital information data #intelligent backup #multi-objective optimization #logistic chaotic mapping algorithm

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

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

Yang Liu,Shudan Feng,Kaiyong Li

#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

Enhancing Social Networks Services: An Ontology- Based Approach

Eman Alduweib,Abdurahman Alahmadi,Waseem Alromema

#Social networks #internet users #user behavior #ontology #digital clones #digital immortality

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

Shivaanivarsha Natarajan,Kavipriya Periyasamy

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