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

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

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

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

The Future of Protein Sequence Generation: Performance Assessment Insights

Madhuri Sharma,Abhilasha Singh

#GAN #protein sequences #deep learning #TM score #FID score

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

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

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

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

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

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

Exploring the Intersection of Information Theory and Machine Learning

Yousef Jaradat,Mohammad Masoud,Ahmad Manasrah,Mohammad Alia,Khalid Suwais,Sally Almanasra

#Information theory #machine learning #entropy #mutual information #information bottleneck

NS-PPO: A Two-Stage Data Resampling Framework for the Initial Phase of Software Defect Prediction

Xiaowei Zhao,Xuanye Wang,Siliang Suo,Lu Lu

#Software defect prediction #class imbalance #deep reinforcement learning

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