IEEE

Photovoltaic Array Fault Diagnosis Based on CNN-BiLSTM-Attention Optimized by Black-Winged Kite Algorithm

Abstract: Aiming at the problem of low accuracy in photovoltaic array fault diagnosis, a photovoltaic array fault diagnosis method based on CNN-BiLSTM-Attention optimized by black-winged kite ...
IEEE

Research on Fish Behavior Detection Algorithm Based on Computer Vision

Abstract: To address the issues of susceptibility to background interference and insufficient recognition accuracy in fish behavior detection under complex underwater scenarios, this study proposes a ...
IEEE

Comparative Analysis of YOLOv12 and RF-DETR Models for Coffee Leaf Disease Detection Using Roboflow

Abstract: Coffee is a vital crop in the Philippines, yet its yield is increasingly threatened by foliar diseases such as coffee rust, Septoria, and Phoma leaf spot. Manual detection remains ...
IEEE

Detection of Powdery Mildew in Cherry Plant Leaves using Machine Learning and CNN

Abstract: Timed observation and accurate detection of plant diseases is vital for minimizing the damage to the crops and securing food for the long term, but particularly with cherry powdery mildew ...
IEEE

Crispvision: Apple Leaf Disease Detection Using Machine Learning and Deeper CNN

Abstract: Identifying diseases in apple leaves plays a vital role in boosting farm productivity and preventing crop losses. This research introduces a comprehensive approach for classifying images of ...
IEEE

Real-Time Fall Detection With Hybrid CNN-LSTM Using IWR6843AOP FMCW Radar

Abstract: Falls are a leading health risk for the elderly, highlighting the need for accurate and unobtrusive monitoring systems. Traditional camera-based approaches often raise privacy concerns, ...
IEEE

A Comparative Study for Yemeni Poets Detection Using TEXT-CNN and RNN-LSTM Text Classification

Abstract: The growing prevalence of internet usage has led to a substantial capacity in textual data. Text classification is an essential field in natural language processing (NLP). It differs in ...
IEEE

Spatio-Temporal Deep Neural Modelling for Climate Anomaly Detection using CNN-LSTM Networks

Abstract: When it comes to studying environmental problems, it is growing increasingly vital to discover climatic anomalies and measure temperature changes, particularly in areas like Ethiopia, where ...
IEEE

Commercial Plant Leaf Disease Detection in the Coastal and Malnad Regions of Karnataka using CNN, DenseNet121, and InceptionV3

Abstract: Leaf diseases pose a major threat to the productivity and quality of commercial crops in the coastal and Malnad regions, renowned for their diverse and high-value agricultural practices. In ...
IEEE

Design of an improved model for real-time fault detection and localization using hybrid transformer-CNN and graph neural networks

Abstract: Accurate real-time fault detection, localization, and classification techniques are necessary to maintain grid stability and prevent faults. Traditional techniques have low accuracy rates, ...
IEEE

Real-Time Multiclass Detection of Citrus Leaf Diseases Using an Enhanced YOLOv11 Architecture

Abstract: Finding rapid and precise methods of identifying diseases is necessary in order to safeguard agricultural yield in today’s global issues of food security. Citrus is a crucial crop in the ...
IEEE

YOLO-DCS: A Brain Tumor Detection Algorithm Based on Dynamic Self-Attention Mechanism and Adaptive Fusion*

Abstract: To address the issues of high missed detection rates for small objects and interference from complex backgrounds in brain tumor detection, this paper proposes an improved model named ...