It constructs a digital virtual entity that corresponds exactly to a physical entity through data and models, and utilizes real-time data to drive its operation, thereby achieving deep insights, ...

In wastewater treatment processes (WWTPs), data and knowledge are employed to build an effective model for monitoring its operation. Unfortunately, they are difficult to be fused due to their ...

To address these issues, this study proposes a Reinforcement Learning (RL)-based framework to optimize the gait of an underwater legged robot for accurate and stable locomotion. A simulation ...

The key challenge in the development of a target property polymer stems from the unclear structure–property relationship (SPR). A multimodal graph neural network (GNN) framework, GeoALBEF, is proposed ...

The rising concerns about global warming and climate change, largely driven by carbon dioxide (CO2) emissions, highlight an urgent need for effective environmental solutions. Utilizing nanofluids in ...

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