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neural networks (võtmesõna)

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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 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
30

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
31

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
32

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
33

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
34

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
35

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
36

artikkel kogumikus

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

artikkel kogumikus
Seotud publikatsioonid 1
- Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks
37

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

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