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 ...
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 ...
In the "WindKI" research project, the Fraunhofer Institute for Wind Energy Systems IWES and the AI company LATODA are developing a new method that detects performance losses in wind turbines at an ...
Pairing artificial intelligence techniques called Q-learning and advantage actor-critic provides new way to optimize hybrid photovoltaic-thermoelectric systems.
Slurry-based absorption–adsorption enables efficient ethane recovery from natural gas, reducing energy use while ensuring high purity and recovery in CH4/C2H6 separation.
In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...
Abstract: Prediction-based dynamic multi-objective optimization algorithms (DMOEAs) are widely used to explore the relationships of Pareto-optimal solutions (POSs) under continuous time steps, aiming ...
A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...
Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...
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