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Kirjeid leitud 41
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ekspordi kõik päringu tulemused (41)
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26

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
27

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
28

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
29

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
30

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
31

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
32

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
33

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
34

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
35

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
36

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
37

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
38

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
39

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
40

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
41

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 41, kuvan 26 - 41

eelmine
1
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 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. adaptive networks
55. ad-hoc sensor networks security
56. automotive communication networks
57. Bayesian Belief Networks
58. Bayesian networks
59. binary search networks
60. binary sensor networks
61. body area networks
62. body sensor networks
63. cellular networks
64. communication networks
65. complex networks
66. computer networks
67. content distribution networks
68. content-addressable storage networks
69. convolutional networks
70. cross-border communication networks
71. decentralized content-addressable storage (DCAS) networks
72. developmental networks
73. diffusion networks
74. digital twin networks (DTNs)
75. distribution networks
76. district heating networks
77. Dynamic networks
78. dynamics over networks
79. ecological networks
80. economic networks
81. electric power transmission networks
82. electrical distribution networks
83. electrical networks
84. embedded networks/NoC
85. gateways (computer networks)
86. generative adversarial networks
87. geodetic networks
88. global production networks
89. graph attention networks
90. graph convolutional networks
91. heating and cooling networks
92. heating networks
93. hypar-formed networks
94. IaaS cloud networks
95. Impedance-source networks
96. innovation networks
97. IP networks
98. iterative networks
99. knowledge networks
100. location-based social networks
101. logistics networks
102. Long Short-Term Memory Networks (LSTMs)
103. low voltage networks
104. low-voltage networks
105. lumped parameter networks
106. marketing networks
107. metabolic networks and pathways
108. mobile actuator-sensor networks (MAS-Net)
109. multilayer networks
110. NB-IoT networks
111. networks
112. networks coding
113. neuro-fuzzy networks and guided missile
114. non-terrestrial networks
115. observational networks
116. on-body networks (BANs)
117. Online social networks
118. Optical fiber networks
119. optical fibre networks
120. optical networks
121. optimized routing approach for critical and emergency networks
122. optimized routing approach for critical and emergency networks simulations
123. packet switched networks
124. partner networks
125. Passive networks
126. phantom cellular networks
127. private networks
128. production networks
129. Public safety networks
130. public safety networks (PSN)
131. public safety networks (PSNs)
132. reconfigurable scan networks
133. regional innovation networks
134. scale-free networks
135. sensor networks
136. small district heating networks
137. SME networks
138. social networks
139. social networks
140. software defined networks (SDN)
141. sorting networks
142. supply networks
143. transmission networks
144. unreliable wireless networks
145. WBANs (wireless body area networks)
146. wearable wireless networks
147. wearable wireless networks (WWNs)
148. weighted networks
149. wireless ad hoc sensor networks
150. Wireless Body Area Networks
151. wireless body area networks (WBANs)
152. wireless body-to-body networks (BBN)
153. wireless networks
154. wireless sensor networks
155. virtual networks
156. 5G networks
157. 5G networks

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