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Improved sampling algorithm for stochastic modelling of random-wound electrical machinesLehikoinen, Antti; Chiodetto, Nicola; Arkkio, Antero; Belahcen, AnouarThe journal of engineering2019 / p. 3976–3980 https://doi.org/10.1049/joe.2018.8093

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Modeling cable-fed induction motor drives with optimized impedance characterization across a low to high-frequency spectrumSardar, Muhammad Usman; Vaimann, Toomas; Kütt, Lauri; Asad, Bilal; Kallaste, Ants; Rassõlkin, AntonIEEE transactions on energy conversion2025 / 14 p. : ill https://doi.org/10.1109/TEC.2025.3630465 Journal metrics at Scopus Article at Scopus

journal article EST / journal article ENG

Number of records 2, displaying 1 - 2

1. machine windings
2. machine-to-machine communications
3. concentrated windings
4. tooth-coil windings
5. transformer windings
6. AC machine
7. adversarial machine learning
8. adversarial machine-learning
9. Algorithmic State Machine - ASM
10. automatic machine learning (autoML)
11. axial flux machine
12. axial flux switched reluctance machine
13. bearingless machine
14. brushless machine
15. coordinate measurring machine
16. data analytics and machine learning
17. electric machine
18. electric machine analysis computing
19. electric machine control
20. electrical machine
21. electrical machine cooling
22. electrical machine design
23. explainable machine learning
24. finite state machine
25. Finite State Machine - FSM
26. flux switching machine
27. graph machine learning
28. hierarchical finite state machine
29. high-frequency machine modeling
30. human machine interaction
31. human machine systems
32. human-machine interaction
33. human-machine interactions
34. human-machine interface
35. human-machine system
36. induction machine
37. interior permanent magnet machine
38. interior permanent-magnet synchronous machine (IPMSM)
39. interpretable machine learning
40. logic machine
41. low-resource machine translation
42. machine bearings
43. machine condition monitoring
44. machine control
45. machine design
46. machine elements
47. machine error
48. machine housing
49. machine learning
50. machine learning (ML)
51. machine learning algorithms
52. machine learning applications in power systems
53. machine learning approach
54. Machine Learning Explainable model
55. machine learning for environmental applications
56. machine learning models
57. machine learning systems
58. machine tools
59. machine translation
60. machine vector control
61. machine vision
62. machine-checked proofs
63. machine-learning
64. machine-learning predictive model
65. machine-translation
66. man-machine systems
67. massive machine type communication (mMTC)
68. massive machine-type communication (mMTC)
69. massive machine-type communication devices (mMTC)
70. massive machine-type communications (mMTC)
71. massive Machine-Type connections (mMTC)
72. multi-class support vector machine (m-SVM)
73. multi-machine
74. multi-machine industrial power plant
75. multi-machine power system
76. multi-stream interaction machine
77. neural machine translation
78. outer-rotor machine
79. Parkinson’s disease machine learning
80. permanent magnet (PM) synchronous machine
81. permanent magnet flux-switching machine
82. permanent magnet machine
83. permanent magnet synchronous machine (PMSM)
84. reluctance machine
85. robust machine learning
86. sewing machine operator
87. small data machine learning
88. spoke-type PM machine
89. state machine
90. supervised machine learning
91. support vector machine
92. surface permanent magnet machine (SPM)
93. switched reluctance machine
94. switched reluctance machine (SRM)
95. synchronous machine
96. TBM (tunnel boring machine)
97. totally enclosed fan-cooled machine
98. universal friction machine
99. unsupervised machine learning
100. virtual synchronous machine

1. ELIXIR Machine Learning Focus Group

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