IEEE

Novel Mask R-CNN Based Mushroom Cluster Tracking in Time-Lapse Images From a Farm Environment

Abstract: This study aims to develop a novel deep learningbased approach to support the automated mushroom growth monitoring using an object tracking algorithm in conjunction with instance ...
Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
IEEE

Threshold-Free Event Detection for Nonintrusive Load Monitoring Using Motif Difference Field Images and Convolutional Neural Networks

Abstract: Event detection is a critical process in non-intrusive load monitoring (NILM). Accurate detection enhances subsequent load identification and facilitates a prompt understanding of the system ...
IEEE

Hybrid CNN-Transformer Model for Accurate Classification of Human Attention Levels Using Workplace EEG Data

Abstract: Accurately detecting human attention levels is a key challenge in cognitive neuroscience, with broad application value in improving productivity. Although Electroencephalography (EEG) ...
IEEE

Feature Distribution-Based Touch Biometrics Using CNN and Siamese Networks

Abstract: Ensuring secure and user-friendly authentication is important as mobile devices increasingly handle sensitive data. Traditional methods like PINs, fingerprints, and facial recognition have ...
IEEE

Image Classification using Quantum Convolutional Neural Network (QCNN)

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...
IEEE

UAV Image Classification: A Comparative Evaluation of CNN Models

Abstract: Aerial image classification plays a vital role in applications such as building footprint extraction, water/soil analysis, 3D reconstruction. Accurate classification enables timely ...
IEEE

A CNN-Based Framework for Skin Disease Classification Using EfficientNetB0

Abstract: Especially with cancers like melanoma, automatic and accurate skin disease classification using dermatoscopic images can significantly enhance clinical decision-making and early management.
KOAM News Now

Mississippi senator to face a prosecutor she blocked from the federal bench, CNN projects

(CNN) — Mississippi’s Senate primaries set up a general election showdown between an incumbent and a challenger she blocked from federal judgeship. CNN projected Tuesday that Republican Sen. Cindy ...
Local News 8

Democrat Shawn Harris to face Trump-endorsed Republican Clay Fuller in runoff to replace Marjorie Taylor Greene, CNN projects

(CNN) — Republican Clay Fuller will face Democrat Shawn Harris in a runoff to replace former GOP Rep. Marjorie Taylor Greene in Georgia’s 14th Congressional District, CNN projects. The race to succeed ...