Rather than searching for the hedgehogs directly, researcher Gabriel Mahler developed an AI model that identifies brambles, ...
Abstract: In the process industries, nonlinear and large time-delay systems pose significant challenges for efficient model predictive control (MPC). The advent of deep learning offers innovative ...
Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...
Background: This study aimed to construct a predictive model utilizing multiple machine learning (ML) models to estimate the likelihood of perioperative blood transfusion in patients with ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd.
Objective: Ubiquitination plays a crucial role in the malignant progression of ovarian cancer. With the advent of proteolysis-targeting chimeras (PROTACs) targeting ubiquitin enzymes, precision ...
Abstract: Thermal stress is a critical failure factor for power electronics components. Hence, when developing a precise digital twin for a power system, it is imperative that thermal models provide a ...
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