USC Recruiting Target Pole Moala Making Waves With Classification Decision

The USC Trojans are one of the frontrunners to land class of 2028 recruit, safety Pole Moala. Moala may end up being playing ...
AZoRobotics

AI Model Achieves 99.24 % Accuracy in Breast Ultrasound Classification

This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...
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

A CNN network for coronary chronic total occlusion state classification using image data

Abstract: Chronic total occlusion (CTO) is a critical determinant of treatment efficacy in coronary artery disease, but its accurate diagnosis remains heavily reliant on the expertise of experienced ...
IEEE

Automated Thyroid Ultrasound Classification Using Cnn

Abstract: This work focuses on developing an end-to-end approach in automatically classifying thyroid ultrasound images by using a compact convolutional neural network and metadata-driven labelling.
IEEE

Land Use Classification of High-Resolution Remote Sensing Imagery Incorporating Global-Local Interactive Features Across Optical Domain and Land Cover Primitives

Abstract: The Land Use (LU) classification of remote sensing (RS) images has broad applications in various fields. In recent years, hybrid CNN-Transformer models have been widely applied to the LU ...
IEEE

Hyperspectral Image Classification using Archimedes Optimized 3D CNN layers

Abstract: Background: Hyperspectral Image (HSI) classification involves analyzing images captured across numerous spectral bands to identify and categorize materials or objects. By exploiting spectral ...
IEEE

SynthraXCoreNet: An Interpretable, Well-Calibrated Six-CNN Ensemble for Dermoscopic Skin-Lesion Classification

Abstract: Accurate skin lesion classification is hard because classes can look similar, datasets are imbalanced, and devices and domains vary. We introduce SynthraXCoreNet, a six CNN ensemble with ...
IEEE

Weather Forecasting Using CNN and Image Streams

Abstract: This accurate forecasting is essential for public safety, agriculture, transportation. Traditional weather forecasting methods mostly depend on physical simulations and mathematical models.
IEEE

A Hybrid CNN-Transformer Knowledge Transfer Technique for Lightweight Skin Lesion Classification using Dermoscopic Image

Abstract: Using dermoscopic images for the classification of skin lesion is crucial for early skin cancer detection, but resource limitations hinder complex deep learning model applications in ...