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26

book article

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

book article
Related publications 1
- Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
27

book article EST / book article ENG

Machine learning techniques for wireless-powered ambient backscatter communications : enabling intelligent iot networks in 6g eraJameel, Furqan; Sharma, Navuday; Khan, Muhammad Awais; Khan, Imran; Alam, Muhammad Mahtab; Alam, Muhammad Mahtab; Mavromoustakis, Constandinos X.Internet of Things / 2020 https://doi.org/10.1007/978-3-030-44907-0_8 Article collection metrics at Scopus Article at Scopus

book article EST / book article ENG
28

journal article

Multi-algorithm-based urban tree information extraction and Its applications in urban planning : research noteYao, Chaowen; Fabritius, Eeva Henna Helena; Fricker, Pia; Dembski, FabianLandscape and urban planning2025 / art. 105226 https://doi.org/10.1016/j.landurbplan.2024.105226

journal article
29

journal article EST / journal article ENG

Multi-stage deep learning networks for automated assessment of electricity transmission infrastructure using fly-by imagesManninen, Henri; Ramlal, Craig J.; Singh, Arvind; Kilter, Jako; Landsberg, MartElectric power systems research2022 / art. 107948 https://doi.org/10.1016/j.epsr.2022.107948 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG
30

journal article EST / journal article ENG

A new efficient ALignment-driven Neural Network for mortality prediction from irregular multivariate time series data [Formula presented]Bignoumba, Nzamba; Mellouli, Nedra; Ben Yahia, SadokExpert systems with applications2024 / art. 122148 https://doi.org/10.1016/j.eswa.2023.122148 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG
Related publications 1
- Predictive systems using machine learning tools to forecast adverse events during medical stays = Ennustavad süsteemid, mis kasutavad masinõppe vahendeid kõrvalekallete prognoosimiseks haiglas viibimise ajal
31

book article

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

book article
32

book article EST / book article 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

book article EST / book article ENG
33

journal article EST / journal article ENG

Orthophoto classification for UGV pth planning using heterogeneous computingHudjakov, Robert; Tamre, MartInternational journal of advanced robotic systems2013 / [7] p. : ill https://doi.org/10.5772/56545 https://www.researchgate.net/publication/269785081_Orthophoto_Classification_for_UGV_Path_Planning_using_Heterogeneous_Computing Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG
34

journal article EST / journal article 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

journal article EST / journal article ENG
35

book article

Preliminary results in using attention for increasing attack identification efficiencyAhmad, Tanwir; Truscan, Dragos; Vain, Jüri2023 IEEE 16th International Conferenceon Software Testing, Verification andValidation Workshops, ICSTW 2023, 16-20 April 2023, Dublin, Ireland, Proceedings2023 / p. 159 - 164 https://doi.org/10.1109/ICSTW58534.2023.00038

book article
36

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
37

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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

journal article EST / journal article ENG
38

book article

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

book article
39

book article EST / book article 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

book article EST / book article ENG
40

journal article

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

journal article
41

book article

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

book article
Related publications 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
42

journal article EST / journal article 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

journal article EST / journal article ENG
Related publications 1
- Data-driven asset management and condition assessment methodology for transmission overhead lines = Ülekandevõrgu õhuliinide andmepõhine varahalduse ja seisundi hindamise metoodika

Number of records 42, displaying 26 - 42

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

1. ELIXIR Machine Learning Focus Group

1. UNDP Urban Learning Center

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