
Engineering | Journal | ScienceDirect.com by Elsevier
Special issues and article collections Sustainable Development and Recycling of Polymeric Materials Edited by Dr. Shimei Xu, Professor Ding Ma, Dr. Wenyu Huang, Dr. Fei Song, Dr. …
Guide for authors - Engineering Structures - ISSN 0141-0296 ...
Engineering Structures provides a forum for a broad blend of scientific and technical papers to reflect the evolving needs of the structural engineering and structural mechanics communities. …
Artificial intelligence and machine learning in mechanical …
Feb 15, 2025 · This review examines the transformative influence of artificial intelligence (AI) and machine learning (ML) on mechanical engineering, emphasizing app…
Guide for authors - Engineering - ISSN 2095-8099 - ScienceDirect
Research Article (up to ~6000 words, including 3~5 keywords, an abstract, an introduction, main body, brief subheadings, a conclusion, figures or tables, and references.) are original, …
AI literacy and its implications for prompt engineering strategies
Jun 1, 2024 · Artificial intelligence technologies are rapidly advancing. As part of this development, large language models (LLMs) are increasingly being used when humans …
Journal of Engineering Research | ScienceDirect.com by Elsevier
Journal of Engineering Research (JER) is an international, peer reviewed journal which publishes full length original research papers, reviews and case studies related to all areas of …
Computers & Chemical Engineering - ScienceDirect
An International Journal of Computer Applications in Chemical Engineering Computers & Chemical Engineering is primarily a journal of record for new developments in the application …
An optimized CNN-BiLSTM network for bearing fault diagnosis …
Mar 14, 2024 · Aiming at limitations in fully exploiting the temporal correlation features of the original signals, expensive cost in parameter tuning, and difficulties in obtaining sufficient …
Editorial board - Neurocomputing | ScienceDirect.com by Elsevier
Worcester Polytechnic Institute, Worcester, Massachusetts, United States Physics-informed machine learning, Transfer learning, Active learning, Activation functions, Distributed learning, …
Bearing fault diagnosis via fusing small samples and training multi ...
Apr 1, 2024 · Recently, deep learning techniques have been widely applied to fault diagnosis due to their outstanding feature extraction abilities. The success of d…