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Kirjeid leitud 42
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ekspordi kõik päringu tulemused (42)
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reasta
26

artikkel kogumikus EST / artikkel kogumikus ENG

A neuro-fuzzy approach for broken rotor bar fault prediction in induction motors via current spectrum analysisRaja, Hadi Ashraf; Vaimann, Toomas; Asad, Bilal; Kallaste, Ants; Sardar, Muhammad Usman2025 IEEE Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED) : proceedings2025 / 7 p https://doi.org/10.1109/SDEMPED53223.2025.11154194

artikkel kogumikus EST / artikkel kogumikus ENG
27

artikkel kogumikus

NN-ANARX model based control of liquid level using visual feedbackVassiljeva, Kristina; Tepljakov, Aleksei; Petlenkov, Eduard2015 IEEE International Conference on Industrial Informatics (INDIN) : proceedings : Robinson College, Cambridge, United Kingdom, 22-24 July, 20152015 / p. 133-138 : ill http://dx.doi.org/10.1109/INDIN.2015.7281723

artikkel kogumikus
28

artikkel ajakirjas EST / artikkel ajakirjas ENG

NN-SANARX model based control of a multi tank liquid-level systemBelikov, Juri; Petlenkov, EduardInternational journal of computational intelligence systems2015 / p. 265-277 https://doi.org/10.1080/18756891.2015.1001950 Journal metrics at Scopus Article at Scopus Journal metrtics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
29

artikkel ajakirjas

A Novel driver performance model based on machine learningAksjonov, Andrei; Nedoma, Pavel; Vodovozov, Valery; Petlenkov, Eduard; Herrmann, MartinIFAC-PapersOnLine2018 / p. 267-272 : ill http://dx.doi.org/10.1016/j.ifacol.2018.07.044

artikkel ajakirjas
30

artikkel ajakirjas EST / artikkel ajakirjas ENG

The proposal of countermeasures for deepfake voices on social media considering waveform and text embeddingYanagi, Yuta; Orihara, Ryohei; Tahara, Yasuyuki; Sei, Yuichi; Alumäe, Tanel; Ohsuga, AkihikoAnnals of emerging technologies in computing2024 / p. 15-31 ill https://doi.org/10.33166/AETiC.2024.02.002 Journal metrics at Scopus Article at Scopus

artikkel ajakirjas EST / artikkel ajakirjas ENG
31

artikkel kogumikus

Prototyping of a machine learning based auxiliary neurostimulation systemGrigorjev, Nikolai; Le Moullec, Yannick; Kuusik, Alar2022 18th Biennial Baltic Electronics Conference (BEC)2022 / 6 l. https://doi.org/10.1109/BEC56180.2022.9935607

artikkel kogumikus
32

artikkel kogumikus

Residential load forecasting using recurrent neural networksShabbir, Noman; Ahmadiahangar, Roya; Raja, Hadi Ashraf; Kütt, Lauri; Rosin, Argo2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings2020 / p. 478-481 : ill https://doi.org/10.1109/CPE-POWERENG48600.2020.9161565

artikkel kogumikus
33

artikkel kogumikus

Simulation of three-rate neural network control for stochastic model of a fighter aircraftAstrov, IgorCCECE 2003 - Canadian Conference on Electrical and Computer Engineering : Toward a Caring and Humane Technology : May 4th to 7th 2003, Montreal, Canada : proceedings. Vol. 32003 / p. 1711-1714 : ill

artikkel kogumikus
34

artikkel kogumikus

Simulation of two-rate adaptive hybrid control with neural and neuro-fuzzy networks for stochastic model of missile autopilotAstrov, Igor; Pedai, Andrus; Rüstern, EnnuWCICA 2004 : Fifth World Congress on Intelligent Control and Automation : June 15-19, 2004, Hangzhou, China : conference proceedings. Vol. 32004 / p. 2603-2607 : ill

artikkel kogumikus
35

artikkel kogumikus

Simulation of two-rate adaptive neural network and fuzzy logic hybrid control for stochastic model of an experimental aircraftAstrov, Igor; Pedai, Andrus; Rüstern, EnnuCanadian Conference on Electrical and Computer Engineering 2004 = Conference canadienne en genie electrique et informatique : May 2-5, 2004, Fallsview Sheraton, Niagara Falls, Canada : proceedings. Vol. 12004 / p. 125-128 : ill

artikkel kogumikus
36

artikkel kogumikus EST / artikkel kogumikus ENG

Simultaneous road edge and road surface markings detection using convolutional neural networksPihlak, Rene; Riid, AndriDatabases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings2020 / p. 109-121 https://doi.org/10.1007/978-3-030-57672-1_9 Conference proceeding at Scopus Article at Scopus

artikkel kogumikus EST / artikkel kogumikus ENG
37

artikkel kogumikus EST / artikkel kogumikus ENG

Speech-based identiﬁcation of children’s gender and age with neural networksPiel, Leo Kristopher; Alumäe, TanelHuman Language Technologies - the Baltic Perspective : Proceedings of the Eighth International Conference, Baltic HLT 20182018 / p. 104-111 https://doi.org/10.3233/978-1-61499-912-6-104 Conference proceedings at Scopus Article at Scopus Article at WOS

artikkel kogumikus EST / artikkel kogumikus ENG
38

artikkel kogumikus EST / artikkel kogumikus ENG

Zero-memory-overhead clipping-based fault tolerance for LSTM deep neural networksParchekani, Bahram; Nazari, Samira; Ahmadilivani, Mohammad Hasan; Azarpeyvand, Ali; Raik, Jaan; Ghasempouri, Tara; Daneshtalab, Masoud37th IEEE International Symposium on Defect and Fault Tolerancein VLSI and Nanotechnology Systems, Harwell, Oxfordshire, Didcot, UK, October 8th - 10th, 20242024 / 4 p. : ill https://doi.org/10.1109/DFT63277.2024.10753533 Conference proceedings at Scopus Article at Scopus Article at WOS

artikkel kogumikus EST / artikkel kogumikus ENG
Seotud publikatsioonid 1
- Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks
39

artikkel ajakirjas EST / artikkel ajakirjas ENG

Trends and challenges in intelligent condition monitoring of electrical machines using machine learningKudelina, Karolina; Vaimann, Toomas; Asad, Bilal; Rassõlkin, Anton; Kallaste, Ants; Demidova, GalinaApplied sciences2021 / art. 2761, 19 p. : ill https://doi.org/10.3390/app11062761 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
Seotud publikatsioonid 1
- Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
40

artikkel kogumikus

Triple fixed-point MAC unit for deep learningKerner, Madis; Tammemäe, Kalle; Raik, Jaan; Hollstein, ThomasProceedings of the 2021 Design, Automation & Test in Europe (DATE 2021), 1-5 February 2021 : Virtual Conference2021 / p. 1404-1407 https://doi.org/10.23919/DATE51398.2021.9474020

artikkel kogumikus
Seotud publikatsioonid 1
- Novel Neural Network accelerator architectures for FPGAs = Uudsed närvivõrkude kiirendite arhitektuurid FPGAdele
41

artikkel kogumikus

Wind energy forecasting using recurrent neural networksShabbir, Noman; Kütt, Lauri; Jawad, Muhammad; Ahmadiahangar, Roya; Iqbal, Muhammad Naveed; Rosin, Argo2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)2019 / 5 p. : ill https://doi.org/10.1109/BdKCSE48644.2019.9010593

artikkel kogumikus
42

artikkel ajakirjas EST / artikkel ajakirjas ENG

Virtual inertia control of isolated microgrids using an NN-based VFOPID controllerŠkiparev, Vjatšeslav; Nosrati, Komeil; Tepljakov, Aleksei; Petlenkov, Eduard; Levron, Yoash; Belikov, Juri; Guerrero, Joseph M.IEEE Transactions on sustainable energy2023 / p. 1558-1568 https://doi.org/10.1109/TSTE.2023.3237922 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
Seotud publikatsioonid 1
- Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega

Kirjeid leitud 42, kuvan 26 - 42

eelmine
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2
järgmine

1. artificial neural networks
2. artificial neural networks (ANN)
3. constrained artificial neural networks
4. Constrained neural networks
5. convolutional neural networks
6. convolutional neural networks (CNNa)
7. Convolutional Neural Networks (CNNs)
8. deep neural networks
9. deep neural networks (DNNs)
10. Fuzzy neural networks
11. graph neural networks
12. multilayer neural networks
13. neural networks
14. neural-networks
15. pre-trained neural networks
16. recurrent neural networks
17. recurrent neural networks (RNN)
18. artificial neural network
19. Binarized Neural Network (BNN)
20. cascaded forward neural network (CFNN)
21. Convolutional Neural Network
22. convolutional neural network (CNN)
23. deep convolutional neural network
24. deep neural network
25. deep neural network compression
26. feedforward neural network (FFNN)
27. Graph Convolutional Neural Network (GCN)
28. GraphSAGE (Graph Based Neural Network)
29. human neural progenitor cells
30. linear Delta robots neural network based model
31. LSTM neural network
32. neural activity
33. neural additive model
34. neural architecture search
35. neural controller
36. neural development
37. neural fuzzy modelling control
38. neural machine translation
39. neural net
40. neural net architecture
41. neural network
42. neural network architecture search
43. neural network controller
44. neural network modelling
45. neural network positioning algorithms
46. neural network predictive controller
47. neural oscillations
48. neural processing unit
49. neural stimulation
50. Radial Basis Function Neural Network (RBFNN)
51. recurrent neural network language model
52. Residual Neural Network
53. spiking neural network (SNN)
54. Ternary Neural Network
55. transformer-based neural network
56. adaptive networks
57. ad-hoc sensor networks security
58. automotive communication networks
59. Bayesian Belief Networks
60. Bayesian networks
61. binary search networks
62. binary sensor networks
63. body area networks
64. body sensor networks
65. cellular networks
66. communication networks
67. communications engineering, networks
68. complex networks
69. computer networks
70. content distribution networks
71. content-addressable storage networks
72. convolutional networks
73. cross-border communication networks
74. decentralized content-addressable storage (DCAS) networks
75. developmental networks
76. diffusion networks
77. digital twin networks (DTNs)
78. distribution networks
79. district heating networks
80. Dynamic networks
81. dynamics over networks
82. ecological networks
83. economic networks
84. electric power transmission networks
85. electrical distribution networks
86. electrical networks
87. embedded networks/NoC
88. gateways (computer networks)
89. generative adversarial networks
90. geodetic networks
91. global production networks
92. graph attention networks
93. graph convolutional networks
94. heating and cooling networks
95. heating networks
96. hypar-formed networks
97. IaaS cloud networks
98. Impedance-source networks
99. innovation networks
100. IP networks
101. iterative networks
102. knowledge networks
103. location-based social networks
104. logistics networks
105. Long Short-Term Memory Networks (LSTMs)
106. low voltage networks
107. low-voltage networks
108. lumped parameter networks
109. marketing networks
110. metabolic networks and pathways
111. mobile actuator-sensor networks (MAS-Net)
112. multilayer networks
113. NB-IoT networks
114. networks
115. networks coding
116. neuro-fuzzy networks and guided missile
117. non-terrestrial networks
118. observational networks
119. on-body networks (BANs)
120. Online social networks
121. Optical fiber networks
122. optical fibre networks
123. optical networks
124. optimized routing approach for critical and emergency networks
125. optimized routing approach for critical and emergency networks simulations
126. packet switched networks
127. partner networks
128. Passive networks
129. phantom cellular networks
130. private networks
131. production networks
132. Public safety networks
133. public safety networks (PSN)
134. public safety networks (PSNs)
135. reconfigurable scan networks
136. regional innovation networks
137. scale-free networks
138. sensor networks
139. small district heating networks
140. SME networks
141. social networks
142. social networks
143. software defined networks (SDN)
144. sorting networks
145. supply networks
146. transmission networks
147. unreliable wireless networks
148. WBANs (wireless body area networks)
149. wearable wireless networks
150. wearable wireless networks (WWNs)
151. weighted networks
152. wireless ad hoc sensor networks
153. Wireless Body Area Networks
154. wireless body area networks (WBANs)
155. wireless body-to-body networks (BBN)
156. wireless networks
157. wireless sensor networks
158. virtual networks
159. 5G networks
160. 5G networks

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