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Kirjeid leitud 36
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ekspordi kõik päringu tulemused (36)
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26

artikkel kogumikus

Non-determinism in nowadays computing and ITHenno, Jaak; Jaakkola, Hannu; Mäkelä, Jukka2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 28 Sept.-2 Oct. 2020, Opatija, Croatia : proceedings2020 / p. 794-801 https://doi.org/10.23919/MIPRO48935.2020.9245377

artikkel kogumikus
27

artikkel kogumikus EST / artikkel kogumikus ENG

Ontology modeling of the Estonian Traffic Act for self-driving busesNogales, Alberto; Täks, Ermo; Taveter, KuldarInformation Management and Big Data : 5th International Conference : SIMBig 2018, Lima, Peru, September 3–5, 2018 : proceedings2019 / p. 249-256 https://doi.org/10.1007/978-3-030-11680-4_24 Conference proceedings at Scopus Article at Scopus

artikkel kogumikus EST / artikkel kogumikus ENG
28

artikkel ajakirjas

Orthophoto classification for UGV pth planning using heterogeneous computingHudjakov, Robert; Tamre, MartInternational journal of advanced robotic systems2013 / [7] p. : ill

artikkel ajakirjas
29

artikkel ajakirjas EST / artikkel ajakirjas ENG

Pavement defect segmentation in orthoframes with a pipeline of three convolutional neural networksLõuk, Roland; Riid, Andri; Pihlak, Rene; Tepljakov, AlekseiAlgorithms2020 / art. 198, 27 p. : ill https://doi.org/10.3390/a13080198 Journal metrics at scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
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 ajakirjas EST / artikkel ajakirjas ENG

A robust pathological voices recognition system based on DCNN and scattering transformSouli, Sameh; Amam, Rimah; Ben Yahia, SadokApplied acoustics2021 / art. 107854 : ill https://doi.org/10.1016/j.apacoust.2020.107854 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
32

artikkel kogumikus

Scene parsing using Fully Convolutional Network for Semantic SegmentationAli, Nisar; Ijaz, Ali Zeeshan; Ali, Raja Hashim; Abideen, Zain Ul; Bais, Abdul2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Regina, SK, Canada, 20232023 / p. 180-185 https://doi.org/10.1109/CCECE58730.2023.10288934

artikkel kogumikus
33

artikkel kogumikus EST / artikkel kogumikus ENG

Semi-parametric approach to random forests for high-dimensional bayesian optimisationKuzmanovski, Vladimir; Hollmén, JaakkoDiscovery Science : 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings2022 / p. 418 - 428 https://doi.org/10.1007/978-3-031-18840-4_30 Conference Proceedings at Scopus Article at Scopus Conference Proceedings at WOS Article at WOS

artikkel kogumikus EST / artikkel kogumikus ENG
34

artikkel ajakirjas

Short-term PV energy generation forecasting using deep learningShabbir, Noman; Ahmadiahangar, Roya; Rosin, Argo; Astapov, Victor; Kilter, JakoTelematique2022 https://www.provinciajournal.com/index.php/telematique/article/view/813

artikkel ajakirjas
35

artikkel kogumikus

The validation of graph model-based, gate level low-dimensional feature data for machine learning applicationsBalakrishnan, Aneesh; Lange, Thomas; Glorieux, Maximilien; Alexandrescu, Dan; Jenihhin, Maksim2019 IEEE Nordic Circuits and Systems Conference (NORCAS) : NORCHIP and International Symposium of System-on-Chip (SoC), 29-30 October 2019, Helsinki, Finland : proceedings in IEEE Xplore2019 / 7 p https://doi.org/10.1109/NORCHIP.2019.8906974

artikkel kogumikus
Seotud publikatsioonid 1
- A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks
36

artikkel ajakirjas EST / artikkel ajakirjas ENG

Toward automatic condition assessment of high-voltage transmission infrastructure using deep learning techniquesManninen, Henri; Ramlal, Craig J.; Singh, Arvind; Rocke, Sean; Kilter, Jako; Landsberg, MartInternational journal of electrical power & energy systems2021 / art. 106726 https://doi.org/10.1016/j.ijepes.2020.106726 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
Seotud publikatsioonid 1
- Data-driven asset management and condition assessment methodology for transmission overhead lines = Ülekandevõrgu õhuliinide andmepõhine varahalduse ja seisundi hindamise metoodika

Kirjeid leitud 36, kuvan 26 - 36

eelmine
1
2
järgmine

1. deep learning
2. deep learning (DL)
3. deep learning classifier
4. deep learning model
5. deep learning model quantization
6. deep learning network
7. Deep-learning
8. deep-learning (DL)
9. embedded deep learning
10. deep reinforcement learning
11. Deep reinforcing learning SDN
12. deep donor-deep acceptor pairs
13. deep brain stimulation
14. deep convolutional neural network
15. Deep defects
16. deep energy levels
17. deep energy renovation
18. deep eutectic solvents
19. deep fake
20. deep fake recognition
21. deep habits
22. deep heat well
23. deep inference
24. deep layer
25. deep level
26. deep level traps
27. deep levels
28. deep neural network
29. deep neural network compression
30. deep neural networks
31. deep neural networks (DNNs)
32. deep offshore
33. deep packet inspection
34. deep renovation
35. deep understanding
36. natural deep eutectic solvents
37. nZEB deep energy renovation
38. nZEB deep renovation
39. active blended learning
40. active learning
41. active learning methods
42. adversarial machine learning
43. adversarial machine-learning
44. algorithm controlling the learning process
45. appetitive associative learning
46. approach to learning
47. Attitude to learning
48. authoritarian learning
49. automata learning
50. automatic machine learning (autoML)
51. BIM-enabled learning
52. BIM-enabled learning environment
53. blended learning
54. business school as learning organization
55. business school learning organization questionnaire (BSLOQ)
56. business school learning rate dependence on GPD
57. business school learning rate measurement instrument
58. client learning
59. Collaborative e-learning
60. collaborative learning
61. competence based learning
62. competence learning
63. competence-based learning
64. competency based learning
65. Component organised learning (COL)
66. computer assisted language learning
67. computer based learning
68. computer-assisted language learning (CALL)
69. cooperative reinforcement learning
70. coping with online teaching and learning
71. customer learning
72. dictionary learning
73. digital learning module
74. Dimensions of Learning Organisation Questionnaire (DLOQ)
75. distance learning
76. distant learning
77. distributed independent reinforcement learning
78. double Q-learning
79. effective teaching and learning
80. e-learning
81. e‐learning
82. e-Learning course
83. e-Learning database
84. e-learning environment
85. electronic learning
86. Emergency remote learning
87. ensemble learning
88. enterprising and entrepreneurial learning
89. entrepreneurial learning
90. entrepreneurial teaching and learning
91. experiential learning
92. Federated learning
93. federated learning (FL)
94. flexible learning
95. game based learning
96. game-based learning
97. graph machine learning
98. guided in-service learning
99. hands-on-learning
100. history learning
101. hybrid learning
102. incremental learning
103. inductive learning
104. inductive learning algorithm
105. interactive learning objects
106. interdisciplinary learning
107. interpretable machine learning
108. inverse reinforcement learning
109. investor learning
110. iterative learning
111. Learner-centered learning environment
112. learning
113. learning (artificial intelligence)
114. learning activities
115. learning adaptation in autonomous vehicles
116. learning algorithm
117. learning analysis
118. learning analytics
119. learning and experimentation
120. learning and health outcomes
121. learning and memory
122. learning business school
123. learning by teaching
124. learning concept
125. learning design
126. learning difficulties
127. Learning environment
128. learning experience
129. learning infrastructures
130. Learning Lab
131. learning management
132. learning management system
133. learning management systems
134. learning methodology
135. learning metrics
136. learning models
137. learning motivation
138. learning objectives
139. learning objects
140. learning organization
141. learning orientation
142. learning outcomes
143. learning process
144. learning processes
145. learning rate
146. learning rate dependence on ownership form
147. learning rate of organization
148. learning region
149. learning situation
150. learning software agents
151. learning styles
152. learning systems
153. learning technologies
154. learning theories
155. learning through the questionnaires
156. learning university
157. learning-to-rank
158. lifelong learning
159. machine learning
160. machine learning (ML)
161. machine learning algorithms
162. machine learning approach
163. Machine Learning Explainable model
164. machine learning for environmental applications
165. machine learning models
166. machine learning systems
167. machine-learning
168. machine-learning predictive model
169. mathematics students learning habits
170. Meaningful learning
171. measuring learning
172. mobile learning
173. model learning
174. Multi-agent reinforcement learning
175. mutual learning
176. new learning models
177. node embedding learning
178. NREN e-learning
179. on-device transfer learning
180. online learning
181. ontologies for learning systems
182. ontology learning
183. organisational learning
184. organizational learning
185. organizational learning measurement instruments
186. organizational learning rate dependence on management
187. organizational learning rate measurement
188. outcome oriented learning
189. Parkinson’s disease machine learning
190. peer‐to‐peer learning group
191. personalised learning
192. policy learning
193. problem-based learning
194. Problem-based learning (PBL)
195. project learning
196. project-based learning
197. Q-learning
198. Q-learning algorithm
199. query learning
200. regional learning
201. reinforcement learning
202. Reinforcement Learning (RL)
203. relative learning performance
204. Remote learning
205. research-oriented learning
206. reusable learning objects
207. robust machine learning
208. scholarship of teaching and learning
209. self learning software
210. self learning system
211. self-learning
212. self-regulated learning
213. semi-supervised learning
214. small data machine learning
215. smart learning
216. smart learning environment
217. social learning
218. stochastic learning theory
219. supervised learning
220. supervised learning data
221. supervised machine learning
222. task based learning
223. team learning
224. Technological learning
225. technology-enhanced learning
226. the dimensions of the learning organisation
227. the dimensions of the learning organization questionnaire (DLOQ)
228. tools for interactive learning and teaching
229. trans-disciplinary social-learning
230. transfer learning
231. true online reinforcement learning
232. ubiquitous learning
233. unsupervised learning
234. unsupervised machine learning
235. urban learning center
236. value of learning
237. web and computerbased learning
238. Web and computer-based learning
239. virtual learning environment
240. virtual learning factory
241. work-based learning
242. workplace learning

1. ELIXIR Machine Learning Focus Group

1. UNDP Urban Learning Center

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