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

Adaptive Load Balancing in Multi-Cloud Systems Using ResFedLB for Load Balancing and RL-COSCoati with Fuzzy Fault Management

Damodhar MummiReddy,Choda Durga Venkata Subba Rao

#Multi -cloud load balancing #federated learning #ResFedLB #workload forecast ing #task scheduling #RL -COSCoati #fault identification

KG4RSV: Towards Knowledge Graph -driven Specification and Validation of ML Dataset Quality Requirements: Case Study on e -ICU dataset

Ziad NASRI,Samir SELLAMI,Chabane DJEDDI,Taoufiq DKAKI,Nacereddine ZAROUR,Pierre-Jean Charrel

#Artificial intelligence #AI/ML -dataset #dataset quality requirements #requirements specification and validation #knowledge graphs #requirements engineering

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

From Roots to Tweets: Leveraging Linguistic Features for Arabic Social Media Content Classification

Hamda Slimi,Ibrahim Bounhas

#Arabic tweet classification #graph representation learning #machine learning #knowledge graphs #heteregenous graphs.

Automated Detection of Albanian Gegë and Toskë Dialects Through Classical and Deep-Learning Classifiers

Eliot Bytyçi,Enda Alidema,Jetmir Gjoni,Trime Ismajli

#Albanian language dialects #natural language processing #machine learning #deep learning

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

The Demonstration of Generative AI in the Development of Process Architecture: The Case of Bank Deposits

Mohammad Sabri,Ahmad Samhan,Ghassan Samara,Sami Abuezhayeh,Mahmoud Odeh,Sulieman Mohammad

#Business process architecture #Riva method #GAI #ChatGPT #DeepSeek #process modelling #large language models

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)

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 #promptengineering

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