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

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

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

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

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

Vehicle Type Recognition using an Efficient Regularization in Mask_RCNN

Noraqilah Misman,Suryanti Awang,Mohammed Khalaf,Hasan Kahtan

#Vehicle type classification #deep learning #optimized deep learning #computational intelligence

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

Low Carbon Scheduling in Manufacturing Workshops Taking into Account the Improvement of NSGA-II

Yanjun Zhou,Fei Wang

#Workshop low-carbon scheduling #NSGA-II #manufacturing industry #multi-objective optimization #elite retention strategy

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

Vehicle Type Recognition using an Efficient Regularization in Mask_RCNN

Noraqilah Misman,Suryanti Awang,Mohammed Khalaf,Hasan Kahtan

#Vehicle type classification #deep learning #optimized deep learning #computational intelligence

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, Avril Hermawan, Badrus Zaman, Shukor Sanim Mohd Fauzi

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

Low Carbon Scheduling in Manufacturing Workshops Taking into Account the Improvement of NSGA-II

Yanjun Zhou,Fei Wang

#Workshop low-carbon scheduling #NSGA-II #manufacturing industry #multi-objective optimization #elite retention strategy

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

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+