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Kirjeid leitud 29
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ekspordi kõik päringu tulemused (29)
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1

artikkel kogumikus

Artificial intelligence methods for data based modeling and analysis of complex processes : real life examples [Online resource]Vassiljeva, Kristina; Petlenkov, Eduard; Vansovitš, Vitali; Tepljakov, AlekseiProceedings of the 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP) : Lviv, Ukraine, August 23-27, 20162016 / p. 363-368 : ill https://doi.org/10.1109/DSMP.2016.7583579

artikkel kogumikus
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artikkel kogumikus

Assessment of malicious tweets impact on stock market pricesIshikawa, Tatsuki; Ben Sassi, Imen; Ben Yahia, SadokResearch Challenges in Information Science : 15th International Conference, RCIS 2021, Limassol, Cyprus, May 11–14, 2021 : proceedings2021 / p. 330–346 https://doi.org/10.1007/978-3-030-75018-3_22

artikkel kogumikus
3

artikkel ajakirjas

The bearing faults detection methods for electrical machines — the state of the artKhan, Muhammad Amir; Asad, Bilal; Kudelina, Karolina; Vaimann, Toomas; Kallaste, AntsEnergies2023 / art. 296 https://doi.org/10.3390/en16010296

artikkel ajakirjas
4

artikkel kogumikus

Coordinated PI-based frequency deviation control of isolated hybrid microgrid : an online multi-agent tuning approach via reinforcement learningNosrati, Komeil; Tepljakov, Aleksei; Petlenkov, Eduard; Levron, Yoash; Škiparev, Vjatšeslav; Belikov, Juri2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)2022 / p. 1-5 : ill https://doi.org/10.1109/ISGT-Europe54678.2022.9960311

artikkel kogumikus
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artikkel kogumikus

Dynamic predictive modeling approach of user behavior in virtual reality based applicationKöse, Ahmet; Tepljakov, Aleksei; Petlenkov, Eduard2019 27th Mediterranean Conference on Control and Automation (MED)2019 / p. 57-62 : ill https://doi.org/10.1109/MED.2019.8798521

artikkel kogumikus
6

artikkel kogumikus

An efficient FPGA-based architecture for contractive autoencodersKerner, Madis; Tammemäe, Kalle; Raik, Jaan; Hollstein, Thomas2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 3 – 6 May 2020, Fayetteville, Arkansas : proceedings2020 / p. 230−230 https://doi.org/10.1109/FCCM48280.2020.00062.

artikkel kogumikus
7

artikkel kogumikus

Estimating quality of transmission in a live production network using machine learningMüller, Jasper; Fehenberger, Tobias; Patri, Sai Kireet; Kaeval, Kaida; Griesser, Helmut; Tikas, Marko; Elbers, Jörg-Peter2021 Optical Fiber Communications Conference and Exhibition (OFC) : 6-10 June 2021 : San Francisco, CA, USA2021 / paper Tu1G.2, 3 p https://ieeexplore.ieee.org/abstract/document/9489940

artikkel kogumikus
8

artikkel kogumikus

Evolutionary design of the closed loop control on the basis of NN-ANARX model using genetic algorithmVassiljeva, Kristina; Petlenkov, Eduard; Nõmm, SvenNeural information processing : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012 : proceedings. Part I2012 / p. 592-599 : ill

artikkel kogumikus
9

artikkel kogumikus

Fault detection and predictive maintenance of electrical machines : perspective chapterRaja, Hadi Ashraf; Kudelina, Karolina; Asad, Bilal; Vaimann, ToomasNew Trends in Electric Machines - Technology and Applications2022 https://doi.org/10.5772/intechopen.107167

artikkel kogumikus
10

artikkel ajakirjas

Genetic algorithm based structure identification for feedback control of nonlinear MIMO systemsVassiljeva, Kristina; Belikov, Juri; Petlenkov, EduardLecture notes in computer science2011 / p. 215-226 : ill

artikkel ajakirjas
11

artikkel kogumikus

Hardware Trojans for confidence reduction and misclassifications on neural networksGrailoo, Mahdieh; Leier, Mairo; Pagliarini, Samuel NascimentoProceedings Of The Twenty Third International Symposium On Quality Electronic Design (ISQED 2022)2022 / art. 180541, p. 230-235 https://doi.org/10.1109/ISQED54688.2022.9806246

artikkel kogumikus
12

artikkel kogumikus

Machine learning and deep learning techniques for residential load forecasting : a comparative analysisShabbir, Noman; Kütt, Lauri; Raja, Hadi Ashraf; Ahmadiahangar, Roya; Rosin, Argo; Husev, Oleksandr2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): conference proceedings2021 / p. 1-5 https://doi.org/10.1109/RTUCON53541.2021.9711741

artikkel kogumikus
Seotud publikatsioonid 1
- Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
13

artikkel ajakirjas EST / artikkel ajakirjas ENG

Machine learning assisted methodology for multiclass classification of malignant brain tumorsVidyarthi, Ankit; Agarwal, Ruchi; Gupta, Deepak; Sharma, Rahul; Draheim, Dirk; Tiwari, PrayagIEEE Access2022 / p. 50624-50640 https://doi.org/10.1109/ACCESS.2022.3172303 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
14

artikkel ajakirjas

Methods of condition monitoring and fault detection for electrical machinesKudelina, Karolina; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants; Khang, Huynh VanEnergies2021 / art. 7459, 20 p. : ill https://doi.org/10.3390/en14227459

artikkel ajakirjas
15

artikkel kogumikus

Neural networks based system for the supervision of therapeutic exercisesNõmm, Sven; Kuusik, Alar; Ovsjanski, Sergei; Malmberg, Ines; Parve, Marko; Orunurm, LiiNeural information processing : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012 : proceedings. Part IV2012 / p. 364-371 : ill

artikkel kogumikus
16

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
17

artikkel ajakirjas

NN-SANARX model based control of a multi tank liquid-level systemBelikov, Juri; Petlenkov, EduardInternational journal of computational intelligence systems2015 / p. 265-277 http://dx.doi.org/10.1080/18756891.2015.1001950

artikkel ajakirjas
18

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
19

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
20

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
21

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
22

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
23

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
24

artikkel kogumikus

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

artikkel kogumikus
25

artikkel kogumikus

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 http://doi.org/10.3233/978-1-61499-912-6-104

artikkel kogumikus

Kirjeid leitud 29, kuvan 1 - 25

eelmine
1
2
järgmine

1. artificial neural networks
2. artificial neural networks
3. artificial neural networks (ANN)
4. Constrained neural networks
5. convolutional neural networks
6. convolutional neural networks (CNNa)
7. deep neural networks
8. deep neural networks (DNNs)
9. Fuzzy neural networks
10. neural networks
11. pre-trained neural networks
12. recurrent neural networks
13. artificial neural network
14. Artificial neural network (ANN)
15. Binarized Neural Network (BNN)
16. cascaded forward neural network (CFNN)
17. Convolutional Neural Network
18. convolutional neural network (CNN)
19. deep convolutional neural network
20. deep neural network
21. deep neural network compression
22. feedforward neural network (FFNN)
23. Graph Convolutional Neural Network (GCN)
24. GraphSAGE (Graph Based Neural Network)
25. human neural progenitor cells
26. neural activity
27. neural architecture search
28. neural controller
29. neural development
30. neural fuzzy modelling control
31. neural network
32. neural network architecture search
33. neural network controller
34. neural network predictive controller
35. neural oscillations
36. neural processing unit
37. neural stimulation
38. Radial Basis Function Neural Network (RBFNN)
39. recurrent neural network language model
40. adaptive networks
41. ad-hoc sensor networks security
42. automotive communication networks
43. Bayesian Belief Networks
44. Bayesian networks
45. binary search networks
46. binary sensor networks
47. body area networks
48. body sensor networks
49. communication networks
50. complex networks
51. computer networks
52. content distribution networks
53. convolutional networks
54. developmental networks
55. diffusion networks
56. distribution networks
57. district heating networks
58. Dynamic networks
59. ecological networks
60. economic networks
61. electrical networks
62. embedded networks/NoC
63. gateways (computer networks)
64. generative adversarial networks
65. geodetic networks
66. global production networks
67. heating networks
68. hypar-formed networks
69. Impedance-source networks
70. innovation networks
71. IP networks
72. iterative networks
73. knowledge networks
74. location-based social networks
75. logistics networks
76. low voltage networks
77. low-voltage networks
78. lumped parameter networks
79. marketing networks
80. metabolic networks and pathways
81. mobile actuator-sensor networks (MAS-Net)
82. NB-IoT networks
83. networks
84. networks coding
85. neuro-fuzzy networks and guided missile
86. non-terrestrial networks
87. on-body networks (BANs)
88. Online social networks
89. Optical fiber networks
90. optical fibre networks
91. optical networks
92. optimized routing approach for critical and emergency networks
93. optimized routing approach for critical and emergency networks simulations
94. packet switched networks
95. partner networks
96. phantom cellular networks
97. private networks
98. production networks
99. Public safety networks
100. public safety networks (PSN)
101. public safety networks (PSNs)
102. reconfigurable scan networks
103. regional innovation networks
104. scale-free networks
105. sensor networks
106. small district heating networks
107. SME networks
108. social networks
109. social networks
110. sorting networks
111. supply networks
112. transmission networks
113. WBANs (wireless body area networks)
114. wearable wireless networks
115. wearable wireless networks (WWNs)
116. weighted networks
117. wireless ad hoc sensor networks
118. Wireless Body Area Networks
119. wireless body area networks (WBANs)
120. wireless body-to-body networks (BBN)
121. wireless sensor networks
122. virtual networks
123. 5G networks
124. 5G networks

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