IEEE

Human Age Group Classification Using CNN and Vision Transformer-Based Feature Extraction

Abstract: The human face reveals significant information about an individual’s identity, age, gender, emotion, and ethnicity. In face-to-face communication, age plays a vital role, influencing ...
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

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

Yoga Pose Classification Using CNN With MobileNet

Abstract: Yoga is an ancient exercise consisting of various postures called asanas. Yoga improves physical, mental and spiritual well-being of the person. Yoga pose classification includes the ...
IEEE

Carbon Stock Classification Using CNN-CatBoost Hybrid Model with Drone and GEE Data

Abstract: Accurate classification of soil carbon stock is vital for global climate stability and supports climate change mitigation. Traditional field-based methods are often limited in scalability ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
IEEE

White Blood Cell Segmentation and Classification Using CNN-Based Unified Feature Learning with Peripheral Blood Cell Images

Abstract: The accurate segmentation and classification of white blood cells (WBCs) is of utmost importance in diagnosing and monitoring different hematological disorders. In this paper, we present a ...
IEEE

MRI brain tumor classification using robust Convolutional Neural Network CNN approach

Abstract: During the last decade, the deep learning depending upon the Convolutional Neural Network (CNN) structure has been demonstrated as an efficient approach to classify different objects ...