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有 21 項符合
tymber dalton的圖書 |
樂天KOBO - 超自然
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Numerical Computations: Theory and Algorithms: 4th International Conference, Numta 2023, Pizzo Calabro, Italy, June 14-20, 2023 Revised Selected Paper
Numerical Computations: Theory and Algorithms: 4th International Conference, Numta 2023, Pizzo Calabro, Italy, June 14-20, 2023 Revised Selected Paper
Time Series Analysis and Its Applications: With R Examples
Electrimacs 2024: Selected Papers - Volume 1
Social Networks Analysis and Mining: 16th International Conference, Asonam 2024, Rende, Italy, September 2-5, 2024, Proceedings, Part III
Navigating Molecular Networks: Exploring the Chemical Space Concept in Novel Materials Design
Intelligent Computing and Big Data Analytics: First International Conference, Icicbda 2024, Navi Mumbai, India, June 15-16, 2024, Proceedings, Part-I
Intelligent Computing and Big Data Analytics: First International Conference, Icicbda 2024, Navi Mumbai, India, June 15-16, 2024, Proceedings, Part-II
Discovery Science: 27th International Conference, DS 2024, Pisa, Italy, October 14-16, 2024, Proceedings, Part I
Variational Bayesian Learning Theory
Numerical Computations: Theory and Algorithms: 4th International Conference, Numta 2023, Pizzo Calabro, Italy, June 14-20, 2023 Revised Selected Paper
Time Series Analysis and Its Applications: With R Examples
Electrimacs 2024: Selected Papers - Volume 1
Social Networks Analysis and Mining: 16th International Conference, Asonam 2024, Rende, Italy, September 2-5, 2024, Proceedings, Part III
Navigating Molecular Networks: Exploring the Chemical Space Concept in Novel Materials Design
Intelligent Computing and Big Data Analytics: First International Conference, Icicbda 2024, Navi Mumbai, India, June 15-16, 2024, Proceedings, Part-I
Intelligent Computing and Big Data Analytics: First International Conference, Icicbda 2024, Navi Mumbai, India, June 15-16, 2024, Proceedings, Part-II
Discovery Science: 27th International Conference, DS 2024, Pisa, Italy, October 14-16, 2024, Proceedings, Part I
Variational Bayesian Learning Theory
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