Severe weather events, such as heavy rainfall, are on the rise worldwide. Reliable assessments of these events can save lives ...

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, ...

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 ...

Predictive processing is an influential framework in neuroscience that posits the brain as a prediction machine—constantly generating and updating internal ...

The global predictive maintenance market was valued at US$ 8.96 billion in 2024 and is expected to reach 91.04 billion by 2033, growing at a CAGR of 29.4% ...

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 ...