검색어 : 통합검색[Machine theory.]
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101
- Editorial: 50th anniversary of the Mechanism and Machine Theory
- Flores, P.; ; (Mechanism and machine theory, v.106, 2016, pp.190-192)
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102
- SV theory of synchronous machine. Permanent-magnet-excited synchronous machine. : Permanent-magnet-excited synchronous machine
- YAMAMURA, Sakae; ; (Proceedings of the Japan Academy. Series B, physical and biological sciences, v.74, 1998, pp.122-125)
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103
- Machine Learning and Perturbation Theory Machine Learning (PTML) in Medicinal Chemistry, Biotechnology, and Nanotechnology
- Herrera-Ibatá , Diana M.; Fundacion Universitaria Agraria de Colombia, Uniagraria, Facultad de Medicina Veterinaria, Bogota 111166, Colombia; (Current topics in medicinal chemistry, v.21, 2021, pp.649-660)
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104
- Cancer Prevention Using Machine Learning, Nudge Theory and Social Impact Bond
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Misawa, Daitaro;
Fukuyoshi, Jun;
Sengoku, Shintaro;
Department of Innovation Science, School of Environment and Society, Tokyo Institute of Technology, Tokyo 152-8850, Japan;
misawa.d.aa@m.titech.ac.jp ; Cancer Scan, Co., Ltd., Tokyo 141-0031, Japan;fukuyoshi@cancerscan.jp ; Department of Innovation Science, School of Environment and Society, Tokyo Institute of Technology, Tokyo 152-8850, Japan;misawa.d.aa@m.titech.ac.jp ; (International journal of environmental research and public health, v.17, 2020, pp.790)
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105
- Machine Translation and Type Theory
- Ranta, A.; ; (Philosophy and foundations of mathematics: epistemological and ontological aspects; Epistemology versus ontology, v.2012, 2012, pp.281-312)
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106
- Some Experimental Studies for the Generalized Electrical Machine Theory
- Ma, W. F.; Department of Electrical Engineering, University of Hong Kong; (International journal of electrical engineering education, v.14, 1977, pp.49-52)
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107
- Design machine: Theory and implementation
- Sedenkov, V.; Guziuk, Z.; ; (International symposium on tools and methods of competitive engineering, v.2004, 2004, pp.1119-1120)
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108
- Machine learning the derivative discontinuity of density-functional theory
- Gedeon, Johannes; Schmidt, Jonathan; Hodgson, Matthew J P; Wetherell, Jack; Benavides-Riveros, Carlos L; Marques, Miguel A L; ; (Machine learning : science and technology, v.3, 2022, pp.015011)
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109
- The modern space‐phasor theory, Part II: Comparison with the generalized machine theory and the space‐vector theory
- Serrano‐ Iribarnegaray, L.; ; (European transactions on electrical power engineering, v.3, 1993, pp.213-219)
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110
- Assessing the Accuracy of Machine Learning Thermodynamic Perturbation Theory: Density Functional Theory and Beyond
- Herzog, Basile; Chagas da Silva, Maurí cio; Casier, Bastien; Badawi, Michael; Pascale, Fabien; Buč ko, Tomá š ; Lebè gue, Sé bastien; Rocca, Dario; Université de Lorraine and CNRS, Laboratoire de Physique et Chimie Thé orique, UMR 7019 , 54506 Vandœuvre-lé s-Nancy , France; Université de Lorraine and CNRS, Laboratoire de Physique et Chimie Thé orique, UMR 7019 , 54506 Vandœuvre-lé s-Nancy , France; Université de Lorraine and CNRS, Laboratoire de Physique et Chimie Thé orique, UMR 7019 , 54506 Vandœuvre-lé s-Nancy , France; Université de Lorraine and CNRS, Laboratoire de Physique et Chimie Thé orique, UMR 7019 , 54506 Vandœuvre-lé s-Nancy , France; Université de Lorraine and CNRS, Laboratoire de Physique et Chimie Thé orique, UMR 7019 , 54506 Vandœuvre-lé s-Nancy , France; Université de Lorraine and CNRS, Laboratoire de Physique et Chimie Thé orique, UMR 7019 , 54506 Vandœuvre; (Journal of chemical theory and computation, v.18, 2022, pp.1382-1394)
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