Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

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: This study presents a comprehensive deep learning framework that significantly advances personalized learning technologies, particularly its focus on intelligent systems and human-centered ...

Discover how AI and Deep Learning are revolutionizing airport operations, from jet bridge autonomy to baggage classification, solving complex challenges with advanced technology. Many of us are ...

This project presents a complete workflow for cone detection in Formula Student Driverless scenarios using deep learning. It demonstrates how to use MATLAB® and Simulink® for data preparation and ...

ABSTRACT: In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving ...

Abstract: Deep belief networks (DBNs) are effective deep learning models and widely used to analyze big data characteristics, extract features, and approximate nonlinear systems. However, due to their ...