Find out how today's engineers succeed by growing their technical abilities, improving how they communicate, and staying open ...

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 ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Google DeepMind is rolling out Gemini 2.5 Deep Think, which, the company says, is its most advanced AI reasoning model, able to answer questions by exploring and considering multiple ideas ...

Eversource Energy Collaborates with MathWorks to Incorporate Renewable Energy Sources into System Planning Process Using Probabilistic Load Flow Automation Fortune 500 Company Uses MATLAB and ...

Assuming that a smoothness condition and a suitable restriction on the structure of the regression function hold, it is shown that least squares estimates based on multilayer feedforward neural ...

Abstract: Most deep learning models for temporal regression directly output the estimation based on single input images, ignoring the relationships between different images. In this paper, we propose ...