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

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

Swin Transformer-Enhanced UAV Surveillance: A Multi-Modal Feature Optimization for High-Precision Road Vehicles Detection

Nouf Abdullah Almujally,Ghulam Mujtaba,Shuaa S. Alharbi,Noif Alshammari,Ahmad Jalal

#Pattern recognition #traffic management #YOLOv10 #autonomous vehicles #intelligent traffic systems #track former #deeplabv3+

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

Swin Transformer-Enhanced UAV Surveillance: A Multi-Modal Feature Optimization for High-Precision Road Vehicles Detection

Nouf Abdullah Almujally,Ghulam Mujtaba,Shuaa S. Alharbi,Noif Alshammari,Ahmad Jalal

#Pattern recognition #traffic management #YOLOv10 #autonomous vehicles #intelligent traffic systems #track former #deeplabv3+

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

A Novel Risk-Based Testing Framework for Distributed Agile Software Development

Esha Khanna,Rashmi Popli,Naresh Chauhan

#Test case prioritization #risk-based testing #distributed agile software development

Campus Network Security Situation Awareness Based on AHP and Nadam Algorithm

Liwen Xu

#Network security #situation awareness #analytic hierarchy process #nadam algorithm #long and short-term memory network

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

A Novel Risk-Based Testing Framework for Distributed Agile Software Development

Esha Khanna,Rashmi Popli,Naresh Chauhan

#Test case prioritization #risk-based testing #distributed agile software development

Campus Network Security Situation Awareness Based on AHP and Nadam Algorithm

Liwen Xu

#Network security #situation awareness #analytic hierarchy process #nadam algorithm #long and short-term memory network

Precision Pursuit: A Spectral Decomposition-Driven Adaptive Block Measurement Matrix for Enhanced Compressive Sensing in Imaging

Aarthi Elaveini,Deepa Thangavel

#Hybrid sensing matrix #sparsity #recovery algorithm #OMP #CoSaMP

Precision Pursuit: A Spectral Decomposition-Driven Adaptive Block Measurement Matrix for Enhanced Compressive Sensing in Imaging

Aarthi Elaveini,Deepa Thangavel

#Hybrid sensing matrix #sparsity #recovery algorithm #OMP #CoSaMP

Enterprise Employee Work Behavior Recognition Method Based on Faster Region-Convolutional Neural Network

Lu Zhang

#Enterprise staff #work behavior identification #Faster R-CNN #multi-scale features #K-means++ algorithm

Enterprise Employee Work Behavior Recognition Method Based on Faster Region-Convolutional Neural Network

Lu Zhang

#Enterprise staff #work behavior identification #Faster R-CNN #multi-scale features #K-means++ algorithm

Impact of Data-Augmentation on Brain Tumor Detection Using Different YOLO Versions Models

Abdelraouf Ishtaiwi,Ali Ali,Ahmad Al-Qerem,Yazan Alsmadi,Amjad Aldweesh,Mohammad Alauthman,Omar Alzubi,Shadi Nashwan,Awad Ramadan,Musab Al-Zghoul,Someah Alangari

#Data-augmentation #objects detection #brain tumor #yolov7 #computer vision

Application of Video Game Algorithm Based on Deep Q-Network Learning in Music Rhythm Teaching

Shilian Zhang,Zheng Huang,Yalin Lang

#DQN network learning #video game algorithms #the rhythm of music #teaching practice

Protecting Sensitive Images with Improved 6-D Logistic Chaotic Image Steganography

Mandeep Sandhu,Mohammad Ahmed,Mohammad Hussain,Surender Head,Imran Khan

#Image encryption #logistic chaotic map #steganography #optimization

Canine Disease Prediction using Multi-Directional Intensity Proportional Pattern with Correlated Textural Neural Network

Ayesha Taranum,Jyoti Metan,Prasad Yogegowda,Chandrashekar Krishnappa

#Data optimization #pattern extraction in big data #multi-directional intensity proportional pattern #similarity measure system #correlated textural neural network #test prediction