Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives. By emulating natural ...

Jiangsu Anjie Energy Information System Co., Ltd. recently announced that it has applied for a patent titled "Dynamic Optimization Management System for Smart Factories Based on Digital Twin and Big ...

Pairing artificial intelligence techniques called Q-learning and advantage actor-critic provides new way to optimize hybrid photovoltaic-thermoelectric systems.

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...

Neural network pruning is a key technique for deploying artificial intelligence (AI) models based on deep neural networks (DNNs) on resource-constrained platforms, such as mobile devices. However, ...

Journal of Coastal Research, SPECIAL ISSUE NO. 115. Advances in Water Resources, Environmental Protection, and Sustainable Development (SUMMER 2020), pp. 116-119 (4 pages) The traditional construction ...

The system integrates multi-dimensional data such as traffic and weather to dynamically calculate the optimal route. After ...

The research finds that AI is already revolutionizing energy storage at multiple levels, starting with the performance of ...

A new technical paper titled “Balancing Power and Performance With Task Dependencies in Multi-Core Systems” was published by ...

Three-cylinder engines were launched, given the increasing demand for improved fuel economy and efficiency along with reduced friction and weight. Unlike four-cylinder engines, these engines are not ...