Abstract: The Digital Twin (DT) technique enables seamless integrations between the physical and virtual worlds. By continuously synchronizing DTs with their physical counterparts, DTs can provide ...

Abstract: In essence, reinforcement learning (RL) solves optimal control problem (OCP) by employing a neural network (NN) to fit the optimal policy from state to action. The accuracy of policy ...

Individuals living in urban cities are experiencing the combined effect of increasing temperatures and poor air quality, often referred to as the urban heat dome. Pregnant mothers and their unborn ...

We consider the optimal scheduling of hydropower plants in a hydrothermal interconnected system. This problem, of outmost importance for large-scale power systems with a high proportion of hydraulic ...

Tired of learning syntax for every new language? This project is built on the core belief that fundamental programming logic transcends language boundaries. By mastering the concepts here in ...

In March 2021, one of the world’s biggest container ships, the Ever Given, got stuck in the Suez Canal. The ordeal lasted for six days, but the consequences extended far beyond that. A CNBC article ...

Figure 1 A typical regulator output programming network where the Vsense feedback node and values for R1 varies from type to type. Quantitatively, the Vsense feedback node voltage varies from type to ...

Web3 has a memory problem. Not in the “we forgot something” sense, but in the core architectural sense. It doesn’t have a real memory layer. Blockchains today don’t look completely alien compared to ...

We independently select these products—if you buy from one of our links, we may earn a commission. All prices were accurate at the time of publishing. When my husband and I were touring homes, one of ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The end of the year 2024 has brought ...