pv magazine International

Machine learning-based fault detection technique for bifacial PV

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...
Frontiers

A hybrid framework for enhanced segmentation and classification of colorectal cancer histopathology

Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India Introduction: Colorectal cancer (CRC) remains one of the leading causes of cancer-related deaths ...
IEEE

Efficient Brain Tumor Classification Using CNN with Self-Attention Mechanisms

Abstract: Brain tumors are difficult to diagnose and can be fatal; thus, accurate and effective methods are badly needed. To overcome several difficulties in this sector, novel methods for brain tumor ...
IEEE

Enhancing Diabetic Retinopathy Image Classification using CNN, Resnet, and Googlenet Models with Z-Score Normalization and GLCM Feature Extraction

Abstract: If diabetic retinopathy is not identified and treated right away, it is a dangerous side effect of diabetes that will cause blindness. In this work, we investigate novel deep learning (DL) ...
IEEE

An Efficient Brain Tumor Classification using CNN and SVM Models

Abstract: The Brain is the controller of the Human system. The unusual growth and partitioning of brain cells lead to a brain tumor which is a severe disease, it’s further growth leads to Brain Cancer ...
Frontiers

HFTC: a hierarchical fungal taxonomic classification model for ITS sequences using low-dimensional embedding features

1 School of Software Engineering, Chengdu University of Information Technology, Chengdu, China 2 Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized ...
IEEE

Brain Cancer MRI Classification using CNN Architectures with Grid Search Enhanced with Coordinate Ascent Optimization

Abstract: Magnetic resonance imaging (MRI) is an important tool for brain cancer diagnosis and classification. Combined with modern convolutional neural network (CNN) technology, it can effectively ...
IEEE

An Explainable Approach to Land-Use Classification Using CNN-LSTM and LIME

Abstract: The evolution of landscapes has opened the opportunity to utilize previously unused land for various purposes, such as agriculture and urban development. This approach promotes sustainable ...