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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
1
2
järgmine

1. artificial neural networks
2. artificial neural networks (ANN)
3. Biological neural networks
4. constrained artificial neural networks
5. Constrained neural networks
6. convolutional neural networks
7. convolutional neural networks (CNNa)
8. Convolutional Neural Networks (CNNs)
9. deep neural networks
10. deep neural networks (DNNs)
11. Fuzzy neural networks
12. graph neural networks
13. multilayer neural networks
14. neural networks
15. neural-networks
16. pre-trained neural networks
17. recurrent neural networks
18. recurrent neural networks (RNN)
19. artificial neural network
20. Binarized Neural Network (BNN)
21. cascaded forward neural network (CFNN)
22. Convolutional Neural Network
23. convolutional neural network (CNN)
24. deep convolutional neural network
25. deep neural network
26. deep neural network compression
27. feedforward neural network (FFNN)
28. Graph Convolutional Neural Network (GCN)
29. GraphSAGE (Graph Based Neural Network)
30. human neural progenitor cells
31. linear Delta robots neural network based model
32. LSTM neural network
33. neural activity
34. neural additive model
35. neural architecture search
36. neural controller
37. neural development
38. neural fuzzy modelling control
39. neural machine translation
40. neural net
41. neural net architecture
42. neural network
43. neural network architecture search
44. neural network controller
45. neural network modelling
46. neural network models
47. neural network positioning algorithms
48. neural network predictive controller
49. neural oscillations
50. neural processing unit
51. neural stimulation
52. Radial Basis Function Neural Network (RBFNN)
53. recurrent neural network language model
54. Residual Neural Network
55. spiking neural network (SNN)
56. Ternary Neural Network
57. transformer-based neural network
58. adaptive networks
59. ad-hoc sensor networks security
60. automotive communication networks
61. Bayesian Belief Networks
62. Bayesian networks
63. binary search networks
64. binary sensor networks
65. body area networks
66. body sensor networks
67. cellular networks
68. communication networks
69. communications engineering, networks
70. complex networks
71. computer networks
72. content distribution networks
73. content-addressable storage networks
74. convolutional networks
75. cross-border communication networks
76. decentralized content-addressable storage (DCAS) networks
77. developmental networks
78. diffusion networks
79. digital twin networks (DTNs)
80. distribution networks
81. district heating networks
82. Dynamic networks
83. Dynamics of networks
84. dynamics over networks
85. ecological networks
86. economic networks
87. electric power transmission networks
88. electrical distribution networks
89. electrical networks
90. embedded networks/NoC
91. gateways (computer networks)
92. generative adversarial networks
93. geodetic networks
94. global production networks
95. graph attention networks
96. graph convolutional networks
97. heating and cooling networks
98. heating networks
99. hypar-formed networks
100. IaaS cloud networks
101. Impedance-source networks
102. innovation networks
103. IP networks
104. iterative networks
105. knowledge networks
106. location-based social networks
107. logistics networks
108. Long Short-Term Memory Networks (LSTMs)
109. low voltage networks
110. low-voltage networks
111. LSTM networks
112. lumped parameter networks
113. marketing networks
114. metabolic networks and pathways
115. mobile actuator-sensor networks (MAS-Net)
116. multilayer networks
117. NB-IoT networks
118. networks
119. networks coding
120. neuro-fuzzy networks and guided missile
121. non-terrestrial networks
122. observational networks
123. on-body networks (BANs)
124. Online social networks
125. Optical fiber networks
126. optical fibre networks
127. optical networks
128. optimized routing approach for critical and emergency networks
129. optimized routing approach for critical and emergency networks simulations
130. packet switched networks
131. partner networks
132. Passive networks
133. phantom cellular networks
134. private networks
135. production networks
136. Public safety networks
137. public safety networks (PSN)
138. public safety networks (PSNs)
139. radio access networks
140. reconfigurable scan networks
141. regional innovation networks
142. scale-free networks
143. sensor networks
144. small district heating networks
145. SME networks
146. social networks
147. social networks
148. software defined networks (SDN)
149. sorting networks
150. supply networks
151. transmission networks
152. unreliable wireless networks
153. WBANs (wireless body area networks)
154. wearable wireless networks
155. wearable wireless networks (WWNs)
156. weighted networks
157. wireless ad hoc sensor networks
158. Wireless Body Area Networks
159. wireless body area networks (WBANs)
160. wireless body-to-body networks (BBN)
161. wireless networks
162. wireless sensor networks
163. virtual networks
164. 5G networks
165. 5G networks

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