Due to changes in production conditions and strategies, industrial processes have various operation modes. However, the model based on a single operation mode cannot adapt to multimode process, ...

Any home gardener knows they have to tailor their watering regime for different plants. Forgetting to water their flowerbed ...

Water is a resource essential for life, as valuable as it is limited. For this reason, and especially in contexts of water ...

A new 3D simulation tool developed by ETH and SLF researchers now allows for significantly more accurate predictions of ...

In a time when controlling thermal quantities governs the performance and yield of semiconductor devices, Sugirtha ...

This article summarizes the findings from the APC Benefit project, which evaluates the impact of a proprietary advanced ...

Key Points Predictive analytics allows for proactive decision-making, as opposed to reacting when things go wrong. Utilizing ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

This study introduces a Q-learning-based nonlinear model predictive control (QL-NMPC) framework for temperature control in batch reactors. A reinforcement learning agent is trained in simulation to ...

The calculated partition coefficients align closely with experimental extraction trends, confirming the model’s predictive capability. Additionally, the roles of oxidation state, system pressure, and ...

As the large-scale integration of renewable energy into the power grid, coal-fired power units have to undertake the task of load-frequency regulation, the optimization control of the coal-fired power ...