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book article EST / book article ENG

Comparison and evaluation of learning capabilities of deep learning methods for predicting ship motionsZhang, Mingyang; Liu, Con; Kujala, Pentti Jouko Sakari; Hirdaris, SpyrosProceedings of 15th International Marine Design Conference (IMDC-2024)2024 / p. 1499-1510 https://doi.org/10.59490/imdc.2024.838

book article EST / book article ENG

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1. deep learning methods
2. deep learning
3. deep learning (DL)
4. deep learning classifier
5. deep learning method
6. deep learning model
7. deep learning model quantization
8. deep learning network
9. deep reinforcement learning
10. Deep reinforcing learning SDN
11. Deep-learning
12. deep-learning (DL)
13. embedded deep learning
14. deep donor-deep acceptor pairs
15. active learning methods
16. deep brain stimulation
17. deep convolutional neural network
18. Deep defects
19. deep energy levels
20. deep energy renovation
21. deep eutectic solvents
22. deep fake
23. deep fake recognition
24. deep habits
25. deep heat well
26. deep inference
27. deep layer
28. deep level
29. deep level traps
30. deep levels
31. deep neural network
32. deep neural network compression
33. deep neural networks
34. deep neural networks (DNNs)
35. deep offshore
36. deep packet inspection
37. deep Q-network
38. deep renovation
39. deep understanding
40. deep UV emission
41. deep-sea mining
42. double deep Q-network
43. natural deep eutectic solvents
44. naturally available deep eutectic solvents
45. nZEB deep energy renovation
46. nZEB deep renovation
47. ab-initio methods
48. active blended learning
49. active learning
50. active learning and engagement
51. adaptive learning
52. adversarial machine learning
53. adversarial machine-learning
54. algebraic methods
55. algebraic/geometric methods
56. algorithm controlling the learning process
57. an ensemble of compression methods
58. analysis methods
59. analytical methods
60. appetitive associative learning
61. approach to learning
62. approximate methods
63. approximation methods
64. Artificial Intelligence in learning
65. assessment methods
66. Attitude to learning
67. authoritarian learning
68. automata learning
69. automatic machine learning (autoML)
70. Backstepping methods
71. bayesian learning
72. BIM-enabled learning
73. BIM-enabled learning environment
74. biology experimental methods
75. biophilic learning environments
76. blended learning
77. business school as learning organization
78. business school learning organization questionnaire (BSLOQ)
79. business school learning rate dependence on GPD
80. business school learning rate measurement instrument
81. calculation methods
82. casting methods
83. Cesaro methods
84. challenge-based learning
85. Challenge-Based Learning (CBL)
86. chemometric methods
87. city-to-city learning
88. client learning
89. Collaborative e-learning
90. collaborative learning
91. competence based learning
92. competence learning
93. competence-based learning
94. competency based learning
95. Component organised learning (COL)
96. computational design methods
97. computational methods
98. computer aided methods
99. computer assisted language learning
100. computer based learning
101. computer vision-based methods
102. computer-assisted language learning (CALL)
103. contrastive learning
104. control methods
105. cooperative reinforcement learning
106. coping with online teaching and learning
107. customer learning
108. data analytics and machine learning
109. decontamination methods
110. Design and assessment methods
111. design methods
112. detection methods
113. diagnostics methods
114. dictionary learning
115. didactic methods
116. digital learning module
117. digital methods
118. digital remote learning
119. Dimensions of Learning Organisation Questionnaire (DLOQ)
120. direct methods
121. distance learning
122. distant learning
123. distributed independent reinforcement learning
124. double Q-learning
125. effective teaching and learning
126. e-learning
127. e‐learning
128. e-Learning course
129. e-Learning database
130. e-learning environment
131. electronic learning
132. electronic structure methods
133. Emergency remote learning
134. ensemble learning
135. ensemble methods
136. enterprising and entrepreneurial learning
137. entrepreneurial learning
138. entrepreneurial teaching and learning
139. ESG-learning
140. Euler-Knopp methods
141. excavation methods
142. experiential learning
143. explainable machine learning
144. extraction and detection methods
145. Federated learning
146. federated learning (FL)
147. finite-element (FE) methods
148. finite-element methods
149. finite-element methods (FEM)
150. finite-element methods (FEMs)
151. flexible learning
152. flow assessment methods
153. formal methods
154. frontier methods
155. game based learning
156. game-based learning
157. Gamified learning
158. Gauss-Newton-type methods
159. Gauss–Newton-type methods
160. generalized Nörlund methods
161. geometric methods
162. graph machine learning
163. graphic methods
164. guided in-service learning
165. hands-on-learning
166. history learning
167. horizontal federated learning
168. human-centred learning
169. hybrid learning
170. hybrid methods
171. Immersive Learning
172. inclusive learning
173. incremental learning
174. inductive learning
175. inductive learning algorithm
176. integration methods
177. interaction methods
178. interactive learning objects
179. interactive teaching methods
180. interdisciplinary learning
181. interpretable machine learning
182. interpretation methods
183. invasive methods
184. inverse methods
185. inverse methods for engineering applications
186. inverse reinforcement learning
187. investor learning
188. iterative learning
189. Kolb’s experiential learning cycle
190. language learning
191. Learner-centered learning environment
192. learning
193. learning (artificial intelligence)
194. learning activities
195. learning adaptation in autonomous vehicles
196. learning algorithm
197. learning analysis
198. learning analytics
199. learning and experimentation
200. learning and health outcomes
201. learning and memory
202. learning business school
203. learning by teaching
204. learning concept
205. learning content
206. learning design
207. learning difficulties
208. Learning environment
209. learning experience
210. learning factory
211. Learning from Demonstration
212. learning infrastructures
213. Learning Lab
214. learning management
215. learning management system
216. learning management systems
217. learning methodology
218. learning metrics
219. learning models
220. learning motivation
221. learning objectives
222. learning objects
223. learning organization
224. learning orientation
225. learning outcomes
226. learning process
227. learning processes
228. learning rate
229. learning rate dependence on ownership form
230. learning rate of organization
231. learning region
232. learning situation
233. learning software agents
234. learning styles
235. learning systems
236. learning technologies
237. learning theories
238. learning through the questionnaires
239. learning university
240. learning-to-rank
241. lifelong learning
242. linear and nonlinear unsupervised methods
243. long-short term learning
244. machine learning
245. machine learning (ML)
246. machine learning algorithms
247. machine learning applications in power systems
248. machine learning approach
249. Machine Learning Explainable model
250. machine learning for environmental applications
251. machine learning models
252. machine learning systems
253. machine-learning
254. machine-learning predictive model
255. material characterization methods
256. Mathematical methods
257. mathematics students learning habits
258. matrix methods
259. Meaningful learning
260. measuring learning
261. methods
262. methods of measuring
263. methods of study
264. methods: data analysis
265. Methods: statistical
266. mixed methods
267. mixed-methods
268. mobile learning
269. model learning
270. model-free methods
271. modulation methods
272. Monte Carlo methods
273. Multi-agent reinforcement learning
274. multi-criteria decision-making methods
275. multi-task learning
276. mutual learning
277. nearest neighbor methods
278. new learning models
279. node embedding learning
280. NREN e-learning
281. numerical methods
282. on-device transfer learning
283. online learning
284. ontologies for learning systems
285. ontology learning
286. Open Learning Resources (OLR)
287. optic methods
288. optimization methods
289. organisational learning
290. organizational learning
291. organizational learning measurement instruments
292. organizational learning rate dependence on management
293. organizational learning rate measurement
294. outcome oriented learning
295. outlier’s detection methods
296. Parkinson’s disease machine learning
297. peer‐to‐peer learning group
298. personalised learning
299. personalized learning
300. physico-chemical methods
301. phytoplankton detection methods
302. plan-driven methods
303. policy learning
304. polynomial methods
305. practical teaching methods
306. prediction methods
307. problem-based learning
308. Problem-based learning (PBL)
309. project learning
310. project-based learning
311. pseudospectral methods
312. Q-learning
313. Q-learning algorithm
314. qualitative methods
315. qualitative research methods
316. quantitative methods
317. query learning
318. regional learning
319. regular matrix methods
320. reinforcement learning
321. Reinforcement Learning (RL)
322. relative learning performance
323. Remote learning
324. research methods
325. research-oriented learning
326. reusable learning objects
327. reversal methods
328. robust machine learning
329. sampling methods
330. scholarship of teaching and learning
331. selection methods
332. self learning software
333. self learning system
334. self-learning
335. self-regulated learning
336. semi-supervised learning
337. separation methods
338. sequence of learning activities
339. sequence to sequence learning
340. sequential learning
341. shootthrough control methods
342. shoot-through control methods
343. SIS problem, learning with errors
344. small data machine learning
345. smart learning
346. smart learning environment
347. social learning
348. socio-emotional learning
349. stability prediction methods
350. standardized methods
351. state space methods
352. Statistical methods
353. statistics methods
354. stochastic learning theory
355. student centred learning
356. substation testing methods
357. supervised contrastive learning
358. supervised learning
359. supervised learning data
360. supervised machine learning
361. synchronous hybrid learning
362. zero-shot learning
363. Taguchi methods
364. task based learning
365. teaching methods
366. team learning
367. Technological learning
368. technology-enhanced learning
369. testing methods
370. the dimensions of the learning organisation
371. the dimensions of the learning organization questionnaire (DLOQ)
372. timber construction (construction methods)
373. tools for interactive learning and teaching
374. tracer gas methods
375. trans-disciplinary social-learning
376. transfer learning
377. transmission line matrix methods
378. Tree-based methods
379. true online reinforcement learning
380. ubiquitous learning
381. unsupervised learning
382. unsupervised machine learning
383. urban learning center
384. value of learning
385. variational methods
386. web and computerbased learning
387. Web and computer-based learning
388. verification methods
389. virtual collaborative learning environment (VCLE)
390. virtual learning environment
391. virtual learning factory
392. visual methods
393. visualization design and evaluation methods
394. work-based learning
395. workplace learning
396. X-ray methods
397. X-ray methods B
398. ﬁnite element methods

1. ELIXIR Machine Learning Focus Group

1. UNDP Urban Learning Center

deep learning methods (keyword)

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