The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...

According to the latest information from the National Intellectual Property Administration, Beijing Jingwei Hengrun Technology Co., Ltd. applied for a patent titled "Method and Device for Generating ...

Self-Referential Large Models: Recursive Self-Enhancement in Code Generation ...

Artificial intelligence is tackling one of the main limitations of wireless charging: its lack of reliability. A fully ...

A team of researchers from the University of Professional Studies, Accra, led by Dr. Augustina Dede Agor, has completed one of the most detailed global reviews to date on the integration of artificial ...

As the world grapples with climate change and dwindling fossil fuel reserves, biodiesel emerges as a promising renewable alternative to conventional ...

As the world grapples with climate change and dwindling fossil fuel reserves, biodiesel emerges as a promising renewable ...

The construction sector is a major source of global carbon emissions, with cement production alone responsible for nearly 7-8 ...

A Genetic Algorithm (GA) is used for the decision parameters optimization. The algorithm procedure leads to a maintenance decision; repair, replacement, or no action for system parts.

In the training process of the deep learning algorithm, the hyperparameter optimization consumes the most time. This yields a problem that the development time of the model is extended. In previous ...

This repository contains the implementation of a novel multi-agent reinforcement learning approach for molecular optimization and drug discovery, combining genetic algorithms with deep reinforcement ...