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Engineering | Journal | ScienceDirect.com by Elsevier
The official journal of the and is an international open-access journal that was launched by the Chinese Academy of Engineering (CAE) in 2015. Its aims are to provide a high-level platform where cutting …
Computer Methods in Applied Mechanics and Engineering | Journal ...
The development of computational methods for the solution of scientific and engineering problems governed by the laws of mechanics was one of the great scientific and engineering achievements of …
Food Bioscience | Journal | ScienceDirect.com by Elsevier
Food Bioscience is a peer-reviewed journal that aims to provide a forum for recent developments in the field of bio-related food research. The journal focuses on both fundamental and applied research …
Advances in physics-informed neural networks for solving complex ...
2 days ago · Advances in physics-informed neural networks for solving complex partial differential equations and their engineering applications: A systematic review
Modeling in tribology: Recent advances, applications, and open ...
Oct 30, 2025 · As in other scientific and engineering fields, modeling plays a central role in tribology [1], which concerns solid friction, lubrication, and wear, or more generally, all processes that occur when …
Minimum mean square estimation and neural networks
Sep 1, 1996 · NEUROCOMPUTING ELSEVIER Neurocomputing 13 (1996) 59-74 Minimum mean square estimation and neural networks Michael T. Manry a'*, Steven J. Apollo b, Qiang Yu c a …
A review of deep learning in metal additive manufacturing: Impact on ...
Deep learning (DL) is increasingly used to predict and control the formation of microstructures, optimize properties, and reduce defects in additively…
Safety Science | Journal | ScienceDirect.com by Elsevier
Safety Science serves as an international medium for research in the science and technology of human and industrial safety. It extends from safety of people at work to other spheres, such as transport, …
Fair train-test split in machine learning: Mitigating spatial ...
Feb 1, 2022 · Machine learning supports prediction and inference in multivariate and complex datasets where observations are spatially related to one another. Frequ…