Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives. By emulating natural ...
Intelligent agriculture requires precise, real-time control of diverse systems ranging from greenhouse climates to autonomous tractors. Classic approaches such as proportional–integral–derivative (PID ...
This case study demonstrates the deep collaborative capability of the PERA intelligent solution with traditional CAE tools ...
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 ...
Pairing artificial intelligence techniques called Q-learning and advantage actor-critic provides new way to optimize hybrid photovoltaic-thermoelectric systems.
In the context of the rapid development of renewable energy and smart grid technologies, Zhejiang Zhiyuan Engineering Management Co., Ltd. applied for a patent in June 2025 titled "Photovoltaic Energy ...
In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...
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 ...
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