Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.

Abstract: Deep learning (DL) models have seen extensive application across diverse fields. As these models continue to advance for enhanced predictive capabilities, instances of performance ...

ABSTRACT: Facing increased energy demand which surpasses national grid supply capacity due to rapid population growth, urbanization, and economic activities, developing countries such as Cameroon are ...

Learn how DenseNet works and why it’s a powerful architecture in deep learning. This tutorial breaks down DenseNet’s key concepts, including dense connections, feature reuse, and parameter efficiency ...

Abstract: This study presents a 2D computer vision approach to estimate Tilapia weight in freshwater using a multi camera for video & picture capturing. The method relies on a custom Tilapia image ...

Bayesian Optimization, widely used in experimental design and black-box optimization, traditionally relies on regression models for predicting the performance of solutions within fixed search spaces.

This perspective article investigates the potential of applying artistic or “humanistic” data visualization to improve the understanding of learner’s growth in the context of highly dynamic, ...

A Ukrainian delegation came to Washington with proposed Russian targets. The White House is expected to keep in place its restrictions on Ukraine's use of American long-range weapons deep inside ...