Abstract: This study focuses on addressing the challenges of renewable energy data management in the energy internet and proposes an optimized design for data compression and transmission optimization ...

An academia-industry collaboration developed a new sampling algorithm for Design of Experiment intending to democratize experimental design.

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...

Abstract: One of the challenges in the rapid development of Internet of Things (IoT) and edge computing is deploying machine learning (ML) models on resource constrained devices (RCD). Preprocessing ...