仕訳帳情報
Engineering Analysis with Boundary Elements
https://www.sciencedirect.com/journal/engineering-analysis-with-boundary-elements
インパクト ・ ファクター:
4.200
出版社:
Elsevier
ISSN:
0955-7997
閲覧:
13401
追跡:
1
論文募集
Aim of the Journal

Engineering analysis with boundary elements is dedicated to the latest developments of engineering analysis with boundary elements, mesh reduction, and other related innovative and emerging numerical methods. The journal founded in 1984 was originally focused on the development of the Boundary Element Method. Its scope has since been expanded to include the emerging mesh reduction and meshless methods. The aim of the journal is to promote the use of non-traditional, innovative, and emerging computational methods for the analyses of modern engineering problems.

Scope

Engineering Analysis with Boundary Elements publishes topics including:
• Boundary Element Methods
• Method of Fundamental Solutions and Related Methods
• Radial Basis Function Collocation Methods
• Other Mesh Reduction and Meshless Methods
• Particle Methods
• Other Emerging and Non-Traditional Numerical Methods
• Advanced Engineering Analyses and Applications
最終更新 Dou Sun 2024-07-14
Special Issues
Special Issue on Recent Theoretical and Practical Developments in AI-based Technologies
提出日: 2024-12-31

The rapid development in AI-based technologies for solving partial differential equations (PDEs) has been attracting attention from mathematicians, engineers, and scientific researchers. As artificial intelligence (AI) continues to revolutionize various fields, it is crucial to provide a platform for researchers and practitioners to share their latest advancements, theories, and applications in this rapidly evolving domain. The primary goal of this Special Issue is to provide an in-depth exploration of cutting-edge applications of AI, elucidating both the theoretical underpinnings and practical implications. Our aim is to encompass a diverse array of domains where AI is revolutionizing industries and making substantial contributions. We invite original research articles, reviews, and case studies that address the following topics (but are not limited to): Theoretical developments and practical implementations of AI-based technologies Physics-Informed Neural Networks (PINN) to solve complex PDEs Natural Language Processing such as ChatGPT, LLM and DaVinci AI for optimizing materials design AI for Medical Diagnosis and Imaging AI for Computer Vision and Pattern Recognition AI for Financial portfolio optimization, risk management, and fraud detection AI on self-driving cars, real-time decision making and navigation Guest editors: Prof. Yiu-Chung Hon Chinese University of Hong Kong, Hong Kong, Hong Kong Prof. Chuin-Shan Chen National Taiwan University, Taipei, Taiwan Manuscript submission information: Open for Submission: from 28-Apr-2024 to 31-Dec-2024 Submission Site: Editorial Manager® Article Type Name: "VSI: AI-based Technologies" - please select this item when you submit manuscripts online For any inquiries about the appropriateness of contribution topics, welcome to contact Managing Guest Editor (Prof. Yiu-Chung Hon). All manuscripts will be peer-reviewed. Submissions will be evaluated based on originality, significance, technical quality, and clarity. Once accepted, articles will be posted online immediately and published in a journal regular issue within weeks. Articles will also be simultaneously collected in the online special issue. Guide for Authors will be helpful for your future contributions, read more: Guide for authors - Engineering Analysis with Boundary Elements - ISSN 0955-7997 (elsevier.com) For more information about our Journal, please visit our ScienceDirect Page: Engineering Analysis with Boundary Elements | Journal | ScienceDirect.com by Elsevier Keywords: Artificial Intelligence; Neural Network; Machine Learning; Image Recognition; AI-based Meshless methods; Physics-Informed Neural Networks (PINN)
最終更新 Dou Sun 2024-07-14
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Journal of Computer Networks and Communications2.000Hindawi
Periodicals of Engineering and Natural SciencesInternational University of Sarajevo
ISPRS Journal of Photogrammetry and Remote Sensing10.60Elsevier
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