Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives. By emulating natural ...
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 ...
This case study demonstrates the deep collaborative capability of the PERA intelligent solution with traditional CAE tools ...
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 ...
Pairing artificial intelligence techniques called Q-learning and advantage actor-critic provides new way to optimize hybrid photovoltaic-thermoelectric systems.
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 ...
In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...
Against the backdrop of increasing global demand for renewable energy, Zhanjiang Wenhui Information Technology Co., Ltd. successfully applied for a patent in June 2025 titled "An Intelligent ...
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