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 #fuzzy logic in education #university english teaching #language education technology

Towards Resilient Distributed Computing: A Self-Healing Fault Tolerance Framework Using Hybrid AI Models

Mohd Haroon,Zeeshan Ali Siddiqui*,Arshad Ali*,Mohammad Husain

#Fault tolerance #LSTM #Q-learning #self-healing systems #distributed computing #reinforcement learning #system resilience #MTTR

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

Brushwork Segmentation Method for Ink Painting Based on Digital Culture Entropy Regression

Yongbo Wu

#Digital culture entropy regression #ink painting #painting technique #brushwork #segmentation

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

A Dual-Stage Lightweight Framework for Detecting Prompt Injections and Harmful Outputs in Large Language Models

Ali Altalbe,Bharathi Mohan Gurusamy

#Large language models #prompt injection detection #response safety filtering #distilbert #bias detection #adversarial prompt mitigation

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

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

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

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

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

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

Multi-Class Image Classification Using Feature Fusion and Kinetic Gas Molecule Optimization

Venkataravana Kadirappa,Praveen Mokshanatha

#Accuracy #convolution neural network #feature extraction #feature fusion #image classification #kinetic gas molecule optimization #k-nearest neighbors

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

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+

Automatic Pronunciation Calibration Method of Language Resource Base Based on Dynamic Time Rounding Algorithm

Shao Gong,Heng Xiao

#Dynamic time rounding #voice interaction #semantics #language resource library #pronunciation #detection model