IEEE

Diagnosis of Major Depressive Disorder with High Suicide Risk Using Slow-wave Sleep Electroencephalograms by TCFM-CNN

Abstract: Emerging evidence indicates that major depressive disorder (MDD) with high suicide risk (MDDHSR) exhibits significant abnormalities in slow-wave sleep (SWS). However, the diagnostic ...
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

IntelliMotion: Real-Time Hand Gesture and Pose Tracking Using OpenCV and MediaPipe

Abstract: Computer vision applications have been revolutionized by profound learning, which makes it conceivable to track human movement absolutely. An interesting hand signal and posture following ...
IEEE

Real-Time Steel Surface Defect Detection Using YOLOv8 and OpenCV: Enhancing Accuracy and Efficiency in Industrial Applications

Abstract: With its excellent surface quality and good mechanical properties, steel has become an indispensable and important material in the machinery manufacturing industry. However, in the process ...
IEEE

Beyond Random Forests: A Hybrid CNN-Transformer Framework for Improved Huntington's Disease Severity Prediction Using Multi-Omics Data

Abstract: Huntington’s disease progression prediction requires analyzing complex interactions between Cytosine, Adenine, Guanine (CAG) repeat expansions and various modifying factors. We present ...
IEEE

FMCNN: Raw-Data Type Identification Using Feature Matrix and CNN

Abstract: This paper introduces FMCNN, a novel classification method that combines a two-dimensional feature matrix capturing raw data characteristics with a CNN-based classifier. Raw data are the ...
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

Explainable Brain Tumor Classification using CNN and GradCAM

Abstract: One of the most critical neurological conditions is Brain tumors, timely and correct diagnosis is needed for effective treatment. Advances in neuroimaging technology such as MRI, limitations ...
IEEE

Skin Disease Detection Using CNN: 6th International Conference on Innovative Trends in Information Technology(ICITIIT-2025)

Abstract: Skin diseases and it's infectious diseases are the most common health issues, requiring quick and correct diagnosis for appropriate treatment. In this study to describe the uses of ...
IEEE

Automated Trash Detection and Classification Using CNN: A Deep Learning Approach

Abstract: A research project focuses on creating automated trash detection and classification through convolutional neural networks (CNNs) with an objective to improve waste management systems. The ...
CNN

Trump’s push to audit voter rolls is already snaring US citizens

Sofia Minotti was surprised to receive a letter last October from her local elections office, saying she would be dropped from the voting rolls in 30 days unless she provided proof of her US ...
CNN

So-called ‘manfluencers’ are filming themselves trying to pick up women. Smart glasses are their perfect tool

Toluwa was waiting for her flight in an airport lounge in Washington, DC, when she said she was approached by a stranger. The pair got chatting and, after a while, she agreed to exchange numbers with ...