Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
MBA programmes in India are evolving fast, with technology-driven curricula, specialised courses, hybrid learning and ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
Abstract: Handwritten Amharic character recognition presents significant challenges due to the script’s syllabic nature and variations in handwriting styles. This study investigates a hybrid approach ...
Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...
ABSTRACT: Phishing attacks remain a pervasive threat in the cybersecurity landscape, necessitating intelligent and scalable detection mechanisms. This paper suggests a deep learning-based method for ...
This project provides an interactive demonstration of CNN-JEPA (Convolutional Neural Network Joint-Embedding Predictive Architecture), a PhD-level Artificial Machine Intelligence (AMI) that showcases ...
Abstract: In recent years, a lot of local languages require careful consideration in terms of knowledge exchange. Each language creates a sophisticated understanding system that allows users to ...