Researchers from Okinawa Institute of Science and Technology outline a strategy for using machine learning (ML) to address ...

Large commercial and institutional buildings face significant challenges in maintaining thermal comfort while minimizing ...

To cut emissions and reduce energy bills, an international engineering team has created the whitest paint coating yet—with ...

By using AI and IoT, manufacturers can now spot issues early, which stops downtime and keeps machines running longer.

With the popularity of electric vehicles, the demand for lithium-ion batteries is increasing. Temperature significantly influences batteries' performance and safety. Battery thermal management systems ...

However, these works are generally based on a steady power map, which in reality is mostly time-dependent. In this paper, a machine learning (ML)-based control method, combining the Bayesian ...

Researchers have used AI and machine learning to create 3D thermal meta-emitters that enhance energy efficiency.

Marine dissolved organic matter (DOM) is an extremely complex mixture of organic compounds that plays a crucial role in the global carbon cycle. In the Arctic, climate change accelerates the release ...

This study explores the use of machine learning (ML) techniques to predict Fourier-transform infrared (FTIR) intensities of products from the thermal cracking of Athabasca bitumen, aiming to develop a ...

Python Thermal Camera Library. Contribute to wykys/IR-Py-Thermal development by creating an account on GitHub.