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Number of records 41
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26

book article

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

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27

journal article EST / journal article 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

journal article EST / journal article ENG
28

journal article

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

journal article
29

journal article EST / journal article 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

journal article EST / journal article ENG
30

book article

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

book article
31

book article

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

book article
32

book article

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

book article
33

book article

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

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34

book article

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

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35

book article EST / book article 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

book article EST / book article ENG
36

book article EST / book article 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

book article EST / book article ENG
37

book article EST / book article 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

book article EST / book article ENG
Related publications 1
- Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks
38

journal article EST / journal article 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

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Related publications 1
- Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
39

book article

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

book article
Related publications 1
- Novel Neural Network accelerator architectures for FPGAs = Uudsed närvivõrkude kiirendite arhitektuurid FPGAdele
40

book article

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

book article
41

journal article EST / journal article 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

journal article EST / journal article ENG
Related publications 1
- Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega

Number of records 41, displaying 26 - 41

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

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