Systematic Review of Artificial Intelligence Techniques for Blood Glucose Predicting in Diabetes

Mohammed Alotaibi,Osama Moh’d Alia

#Artificial intelligence #blood glucose prediction #deep learning #diabetes management #hypoglycemia prediction #hyperglycemia prediction #machine learning

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

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

TSRL: Boosting IoT Edge Time Series Database Scalability through Lightweight Rate Limiter

Ahmed El-Naggar,Magdy Nagi,Sahar Ghanem

#IoT #edge computing #time series #database #rate limiter

Cognitive-Fuzzy Learning System-Based University English Smart Classroom Teaching Design and Application

Ningyi Lai

#Real -time teaching strategies #cognitive -fuzzy learning systems #smart classrooms #adaptive learning model #fuzzylogic in education #university english teaching #language education technolog y

A Fuzzy Decision System for Providing Emotional Support to College Students via Customization

Guoan Liu,Zumeng Wang,Peihua Xu,Heung Kou

#Fuzzy multicriteria decision-making #emotional support #customization #mamdani fuzzy inference

Unraveling the Dynamics of Fake News and Misinformation on Twitter: A Comprehensive Exploration

Amna Hassan,Kashfia Sailunaz,Mehmet Kaya,Mehmet K. Ozdemir,Jon Rokne,Reda Alhajj

#Network analysis #machine learning #psychological drivers #combating misinformation #twitter (X)

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

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

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 #promptengineering

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+

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

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

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

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

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

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

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