Research on Music Emotion Analysis and Classification Algorithm Based on Artificial Intelligence Natural Language Processing

Ping Ran

#Music emotion analysis #redefined crayfish optimization #XLNet #NLP #emotion classification

Assessing the Effectiveness of LLMs as Autonomous Solvers for University Course Timetabling

Basma Alharbi

#Automated scheduling #combinatorial optimization #constraint satisfaction problems #curriculum-based course timetabling #ITC-2007 benchmark #large language models

Pattern Recognition in Islamic Architecture: Machine Learning Perspective

Sattam Almatarneh,Noura Qazza,Ahmad Al Smadi

#Islamic architecture #deep learning #machine learning classifiers #HOG #LBP #CNNs #image classification

MeL-ReHS2LSTM: A Multimodal Semantic Retrieval Framework with Fuzzy Ranking and Lightweight Caption Parsing

Shaik Asha,Sajja Tulasi Krishna

#Caption retrieval #deep learning #fuzzy inference system #image captioning #multimodal dataset #semantic search #string matching

Ice and Snow Sports Behavior Recognition Technology Based on EM Algorithm and RepVGG Neural Network

Shu Yu,Jianxin Kang,Dawei Wu,Wang Wang

#Ice and snow sports #Behavior recognition #RepVGG #EM algorithm #multimodal feature

A Systematic Review of Frameworks, Performance Metrics, and Threat Analysis in Blockchain-based E-Voting Systems

Muthu Meenakshi Ganesan,Sabeen Selvaraj

#Blockchain #blockchain frameworks #electronic voting #consensus #cryptography #scalability #threat analysis

Secure Bilinear Zooming Steganography for Enhancing QR Code Image Quality and Information Security

Nuur Alifah Roslan,Adnan Gutub,Rahmita Wirza Rahmat,Fatimah Khalid,Nur Izura Udzir

#QR code steganography; QR code; image manipulation; information security; steganography

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

Towards Collaborative Innovation in Government Governance: Leveraging Artificial Intelligence for Enhanced Public Services

Min Ye,Yejin Liu

#Government collaborative governance #artificial intelligence #government public services #public service innovation

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

Genetic Algorithms Application to Recognize the Arabic Back Obstruent Sounds in Continuous Speech

Aissiou Mohammad

#Speech processing #acoustic-phonetic decoding #automatic speech recognition #genetic algorithms searching #arabic back obstruents

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

The Future of Protein Sequence Generation: Performance Assessment Insights

Madhuri Sharma,Abhilasha Singh

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

EEG-Based Epileptic Seizure Detection Using Optimized Spatio-Temporal Graph CNN

Palepu Vijaya Santhi,Sarat K Kotamraju,ChSri Kavya

#Epileptic seizure detection #holistic dynamic frequency transformer #wader hunt optimization algorithm

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

Toward Human-Level Understanding: A Systematic Review of Vision-Language Models for Image Captioning

Ansar Hani,Najiba Tagougui,Monji Kherallah

#Image captioning #vision-language models #multimodal learning #large language models

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

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