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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. spiking neural networks
20. artificial neural network
21. Binarized Neural Network (BNN)
22. cascaded forward neural network (CFNN)
23. Convolutional Neural Network
24. convolutional neural network (CNN)
25. deep convolutional neural network
26. deep neural network
27. deep neural network compression
28. feedforward neural network (FFNN)
29. Graph Convolutional Neural Network (GCN)
30. GraphSAGE (Graph Based Neural Network)
31. human neural progenitor cells
32. linear Delta robots neural network based model
33. LSTM neural network
34. neural activity
35. neural additive model
36. neural architecture search
37. neural controller
38. neural development
39. neural fuzzy modelling control
40. neural machine translation
41. neural net
42. neural net architecture
43. neural network
44. neural network architecture search
45. neural network controller
46. neural network modelling
47. neural network models
48. neural network positioning algorithms
49. neural network predictive controller
50. neural oscillations
51. neural processing unit
52. neural stimulation
53. Radial Basis Function Neural Network (RBFNN)
54. recurrent neural network language model
55. Residual Neural Network
56. spiking neural network (SNN)
57. Ternary Neural Network
58. transformer-based neural network
59. adaptive networks
60. ad-hoc sensor networks security
61. automotive communication networks
62. Bayesian Belief Networks
63. Bayesian networks
64. binary search networks
65. binary sensor networks
66. body area networks
67. body sensor networks
68. cellular networks
69. communication networks
70. communications engineering, networks
71. complex networks
72. computer networks
73. content distribution networks
74. content-addressable storage networks
75. convolutional networks
76. cross-border communication networks
77. decentralized content-addressable storage (DCAS) networks
78. developmental networks
79. diffusion networks
80. digital twin networks (DTNs)
81. distribution networks
82. district heating networks
83. Dynamic networks
84. Dynamics of networks
85. dynamics over networks
86. ecological networks
87. economic networks
88. electric power transmission networks
89. electrical distribution networks
90. electrical networks
91. embedded networks/NoC
92. gateways (computer networks)
93. generative adversarial networks
94. geodetic networks
95. global production networks
96. graph attention networks
97. graph convolutional networks
98. heating and cooling networks
99. heating networks
100. hypar-formed networks
101. IaaS cloud networks
102. Impedance-source networks
103. innovation networks
104. IP networks
105. iterative networks
106. knowledge networks
107. location-based social networks
108. logistics networks
109. Long Short-Term Memory Networks (LSTMs)
110. low voltage networks
111. low-voltage networks
112. LSTM networks
113. lumped parameter networks
114. marketing networks
115. metabolic networks and pathways
116. mobile actuator-sensor networks (MAS-Net)
117. multilayer networks
118. NB-IoT networks
119. networks
120. networks coding
121. neuro-fuzzy networks and guided missile
122. non-terrestrial networks
123. observational networks
124. on-body networks (BANs)
125. Online social networks
126. Optical fiber networks
127. optical fibre networks
128. optical networks
129. optimized routing approach for critical and emergency networks
130. optimized routing approach for critical and emergency networks simulations
131. packet switched networks
132. partner networks
133. Passive networks
134. phantom cellular networks
135. private networks
136. production networks
137. Public safety networks
138. public safety networks (PSN)
139. public safety networks (PSNs)
140. radio access networks
141. reconfigurable scan networks
142. regional innovation networks
143. scale-free networks
144. sensor networks
145. small district heating networks
146. SME networks
147. social networks
148. social networks
149. software defined networks (SDN)
150. sorting networks
151. supply networks
152. transmission networks
153. unreliable wireless networks
154. WBANs (wireless body area networks)
155. wearable wireless networks
156. wearable wireless networks (WWNs)
157. weighted networks
158. wireless ad hoc sensor networks
159. Wireless Body Area Networks
160. wireless body area networks (WBANs)
161. wireless body-to-body networks (BBN)
162. wireless networks
163. wireless sensor networks
164. virtual networks
165. 5G networks
166. 5G networks
167. 5G nomadic networks

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