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support vector machines (võtmesõna)

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The bearing faults detection methods for electrical machines — the state of the artKhan, Muhammad Amir; Asad, Bilal; Kudelina, Karolina; Vaimann, Toomas; Kallaste, AntsEnergies2023 / art. 296 https://doi.org/10.3390/en16010296 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Domain adaptation approach for Arabic sarcasm setection in hotel reviews based on hybrid learningAmeur, Asma; Hamdi, Sana; Ben Yahia, SadokProcedia computer science2023 / p. 3898-3908 https://doi.org/10.1016/j.procs.2023.10.385 Conference proceeding at Scopus Article at Scopus

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artikkel ajakirjas EST / artikkel ajakirjas ENG

ECG classification with event-driven samplingSaeed, Maryam; Märtens, Olev; Larras, Benoit; Frappe, Antoine; John, Deepu; Cardiff, BarryIEEE Access2024 / p. 25188-25199 https://doi.org/10.1109/ACCESS.2024.3364115 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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artikkel ajakirjas EST / artikkel ajakirjas ENG

Improved fault classification and localization in power transmission networks using vae-generated synthetic data and machine learning algorithmsKhan, Muhammad Amir; Asad, Bilal; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van KhangMachines2023 / art. 963 https://doi.org/10.3390/machines11100963 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Multi-sensor fault diagnosis of induction motors using random forests and support vector machineSaberi, Alireza Nemat; Sandirasegaram, Sarvavignoban; Belahcen, Anouar; Vaimann, Toomas; Sobra, Jan2020 International Conference on Electrical Machines (ICEM), 23-26 august 2020, Gothenburg, Sweden : online : proceedings2020 / p. 1404–1410 https://doi.org/10.1109/ICEM49940.2020.9270689

artikkel kogumikus

Kirjeid leitud 5, kuvan 1 - 5

1. support vector machines
2. multi-class support vector machine (m-SVM)
3. support vector machine
4. support vector regression
5. backward shifts of vector fields
6. cointegrated vector autoregression
7. current vector amplitude ascillation
8. current vector amplitude oscillation
9. decision vector
10. factor-augmented vector autoregressive models
11. Global vector autoregression, spillovers
12. Global vector autoregressions
13. insect vector transmission
14. machine vector control
15. magnetic vector potential
16. panel vector autoregressive model (VAR)
17. Park’s vector
18. Park's vector
19. space vector modulation
20. space vector modulation (SVM)
21. space vector pulse width modulation
22. space vector pulse width modulation (SVPWM)
23. space vector pulse-width modulation
24. structural vector autoregression
25. structural vector autoregressions
26. structural vector autoregressive (SVAR)
27. vector autoregressive process
28. vector control
29. vector error correction
30. Vector Error Correction Model
31. vector field
32. vector fields
33. vector hysteresis mode
34. vector space model
35. AC machines
36. agriculture machines
37. Algorithmic State Machines (ASMs)
38. asymmetry in machines
39. axial flux permanent magnet synchronous machines (AFPMSM)
40. conventional electrical machines
41. diagnostics of electrical machines
42. electric machines
43. electrical machines
44. finite-state machines
45. future electrical machines
46. induction machines
47. interior permanent magnet machines
48. mealy machines
49. moore machines
50. non-conventional electrical machines
51. open self‐ventilated machines
52. OSV (open self‐ventilated) machines
53. permanent magnet assisted synchronous reluctance machines
54. permanent magnet machines
55. rotating machines
56. smart machines
57. surface permanent magnet synchronous machines (SPMSM)
58. synchronous machines
59. synchronous reluctance machines
60. wise machines
61. carbon support
62. clinical decision support
63. Clinical Decision Support Systems (CDSS)
64. decision support
65. decision support indices
66. decision support instruments
67. decision support system
68. decision support system (DSS)
69. decision support system for housing
70. decision support systems
71. decision support techniques
72. decision support tool prototyping
73. decision support tools
74. decision-making support
75. design support systems
76. Development support
77. digital decision support
78. Digital Decision Support (DDSS)
79. digital decision support system
80. Digital decision support system (DDSS)
81. disability support
82. dynamic support conditions
83. employer's support
84. financial support
85. granular support
86. grid support
87. ICT support
88. in-group support
89. innovation support
90. innovative support analysis
91. institutional support
92. intelligent decision support system
93. intelligent decision support systems
94. medical decision support system (MDSS)
95. Mesoporous carbon support
96. military support
97. non-financial support
98. planning and decision support
99. planning support system (PSS)
100. simulationbased decision support
101. social support
102. state support
103. state support of religion
104. support conditions
105. support measures
106. support network activities
107. support policy
108. support programmes
109. support system
110. sustainable catalyst support
111. yielding support

1. Microbiome Support Consortium

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