The development of an augmented machine learning approach for the additive manufacturing of thermoelectric materials

被引：0
|
作者：
Headley, Connor V. [1 ]
Herrera del Valle, Roberto J. [1 ]
Ma, Ji [1 ]
Balachandran, Prasanna [1 ,2 ]
Ponnambalam, Vijayabarathi [3 ]
LeBlanc, Saniya [3 ]
Kirsch, Dylan [4 ,5 ]
Martin, Joshua B. [4 ]
机构：
[1] Department of Materials Science and Engineering, University of Virginia, Charlottesville,VA,22903, United States
[2] Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville,VA,22903, United States
[3] Department of Mechanical and Aerospace Engineering, George Washington University, Washington D.C.,20052, United States
[4] Material Measurement Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg,MD,20899, United States
[5] Department of Materials Science & Engineering, University of Maryland, College Park,MD,20742, United States
来源：
Journal of Manufacturing Processes | 2024年 / 116卷
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Iterative methods
引用
收藏
页码：165 / 175
相关论文
共 50 条
  • [31] Groundwater potential mapping using machine learning approach in West Java, Indonesia
    Nugroho, Jalu Tejo
    Lestari, Anugrah Indah
    Gustiandi, Budhi
    Sofan, Parwati
    Suwarsono
    Prasasti, Indah
    Rahmi, Khalifah Insan Nur
    Noviar, Heru
    Sari, Nurwita Mustika
    Manalu, R. Johannes
    Arifin, Samsul
    Taufiq, Ahmad
    Groundwater for Sustainable Development, 2024, 27
  • [32] Toward a Model to Predict Cardiovascular Disease Risk Using a Machine Learning Approach
    Slime, Khaoula
    Maizate, Abderrahim
    Hassouni, Larbi
    Mouine, Najat
    IAENG International Journal of Computer Science, 2024, 51 (05) : 519 - 527
  • [33] Machine learning-based approach for adakitic rocks tectonic setting determination
    Zhang, Huanbao
    He, Haiyang
    Yang, Shijiao
    Li, Yalin
    Bi, Wenjun
    Han, Shili
    Guo, Qinpeng
    Du, Qing
    Earth Science Frontiers, 2024, 31 (04) : 417 - 428
  • [34] A Machine Learning Approach to Determine the Semantic Versioning Type of npm Packages Releases
    Abdalkareem, Rabe
    Chowdhury, Md Atique Reza
    Shihab, Emad
    arXiv, 2022,
  • [35] A machine-learning approach to estimating the referential properties of Japanese noun phrases
    Murata, Masaki
    Uchimoto, Kiyotaka
    Ma, Qing
    Isahara, Hitoshi
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2001, 2004 : 142 - 154
  • [36] Review of Trends in Learning Media of Augmented Reality Integrated with STEM Approach to Improve Students' Creative Thinking Skill
    Muhammad, M.
    Journal of Physics: Conference Series, 2022, 2377 (01):
  • [37] Understanding the Trend in Core-Shell Preferences for Bimetallic Nanoclusters: A Machine Learning Approach
    Ghosh, Aishwaryo
    Datta, Soumendu
    Saha-Dasgupta, Tanusri
    Journal of Physical Chemistry C, 2022, 126 (15): : 6847 - 6853
  • [38] Novel Approach for Enhancing Mental Well-Being Through Machine Learning Techniques
    Roshani, O.V.D.E.
    Ayuwardhana, H.M.K.J.J.
    Rodrigo, P.H.M.S.
    Hewageegana, R.U.
    Fernando, Harinda
    De Silva, Dilshan I.
    ICAC 2023 - 5th International Conference on Advancements in Computing: Technological Innovation for a Sustainable Economy, Proceedings, 2023, : 651 - 656
  • [39] Development of scraping skill transfer system using distance learning approach
    Department of Intelligent System, Tokyo Metropolitan Institute of Technology, 6-6 Asahigaoka, Hino-shi, Tokyo, 191-0065, Japan
    1600, 1285-1290 (2006):
  • [40] Identifying emerging technologies to foresee the future of intelligent ships: a machine learning approach to patent data
    Liu, Weiwei
    Yao, Jingyi
    Bi, Kexin
    International Journal of Technology, Policy and Management, 2024, 24 (04): : 417 - 442
12345