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Deadline for Submissions: 31 January 2024 |
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Special Issue Editors |
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Guest Editor |
Dr. Alexey Mikhaylov |
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Affiliation |
Financial University under the Government of the Russian Federation, Moscow, Russia |
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Interests |
machine learning; sustainability; financial markets; crypto; innovation |
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co-Guest Editor |
Dr. Dmitry Morkovkin |
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Affiliation |
Financial University under the Government of the Russian Federation, Moscow, Russia |
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Interests |
machine learning; sustainability; financial markets; crypto; innovation |
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co-Guest Editor |
Prof. Dr. Yuri Sotskov |
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Affiliation |
United Institute of Informatics Problems, National Academy of Sciences of Belarus, Minsk, Belarus |
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Interests |
Mathematics; scheduling; algorithm; mixed graph |
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Special Issue Information |
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Mixed Graph and Neural Network Algorithms provides usable products for all countries in the world, countries' governments have to ensure that all offshore facilities, controls, and direct commerce in natural resources and international trade conditions are functioning properly. Therefore, Mixed Graph and Neural Network Algorithms should support Sustainable Development Goals set out in the United Nations 2030 Agenda and the Paris Climate Agreement and transition to a sustainable green economy.
The goal of this Research Topic is to re-examine Mixed Graph and Neural Network Algorithms in Energy and Industrial Economics based on big data, deep learning, and other machine learning techniques and advanced analytical methods. We encourage researchers to submit papers that use Mixed Graph and Neural Network Algorithms in Energy and Industrial Economics.
Special Issue Keywords: machine learning, scheduling, flexible job-shop, regular objective function, adaptive algorithm
Manuscripts could be submitted via our online system: https://ojs.wiserpub.com/index.php/CM/about/submissions. Please indicate that your manuscript is submitted to the special issue "Mixed Graph and Neural Network Algorithms in Energy and Industrial Economics" in the coverletter.
For any queries, please feel free to contact the CM Editorial Office (cm@wiserpub.com).
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Published Papers |
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This special issue is now open for submission. |
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