Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data

A lightweight multi-path convolutional neural network architecture using optimal features selection for multiclass classification of brain tumor using magnetic resonance images

AETUnet: Enhancing Retinal Segmentation With Parameter-Efficient UNet Architecture and Lightweight Attention Mechanism

Advanced Agricultural Query Resolution Using Ensemble-Based Large Language Models

Integrating Multilayer Perceptron and Support Vector Regression for Enhanced State of Health Estimation in Lithium-Ion Batteries

RoadSitu: Leveraging road video frame extraction and three-stage transformers for situation recognition

A novel fusion-based deep learning approach with PSO and explainable AI for batteries State of Charge estimation in Electric Vehicles

An enhanced lightweight T-Net architecture based on convolutional neural network (CNN) for tomato plant leaf disease classification

Fault prognosis of wind turbines using multimodal machine learning

Optimized XGBoost modeling for accurate battery capacity degradation prediction