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deep learning (keyword)
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26
book article
Non-determinism in nowadays computing and IT
Henno, Jaak
;
Jaakkola, Hannu
;
Mäkelä, Jukka
2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 28 Sept.-2 Oct. 2020, Opatija, Croatia : proceedings
2020
/
p. 794-801
https://doi.org/10.23919/MIPRO48935.2020.9245377
book article
27
book article EST
/
book article ENG
Ontology modeling of the Estonian Traffic Act for self-driving buses
Nogales, Alberto
;
Täks, Ermo
;
Taveter, Kuldar
Information Management and Big Data : 5th International Conference : SIMBig 2018, Lima, Peru, September 3–5, 2018 : proceedings
2019
/
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
28
journal article
Orthophoto classification for UGV pth planning using heterogeneous computing
Hudjakov, Robert
;
Tamre, Mart
International journal of advanced robotic systems
2013
/
[7] p. : ill
journal article
29
journal article EST
/
journal article ENG
Pavement defect segmentation in orthoframes with a pipeline of three convolutional neural networks
Lõuk, Roland
;
Riid, Andri
;
Pihlak, Rene
;
Tepljakov, Aleksei
Algorithms
2020
/
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
30
book article
Residential load forecasting using recurrent neural networks
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Raja, Hadi Ashraf
;
Kütt, Lauri
;
Rosin, Argo
2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings
2020
/
p. 478-481 : ill
https://doi.org/10.1109/CPE-POWERENG48600.2020.9161565
book article
31
journal article EST
/
journal article ENG
A robust pathological voices recognition system based on DCNN and scattering transform
Souli, Sameh
;
Amam, Rimah
;
Ben Yahia, Sadok
Applied acoustics
2021
/
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
32
book article
Scene parsing using Fully Convolutional Network for Semantic Segmentation
Ali, Nisar
;
Ijaz, Ali Zeeshan
;
Ali, Raja Hashim
;
Abideen, Zain Ul
;
Bais, Abdul
2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Regina, SK, Canada, 2023
2023
/
p. 180-185
https://doi.org/10.1109/CCECE58730.2023.10288934
book article
33
book article EST
/
book article ENG
Semi-parametric approach to random forests for high-dimensional bayesian optimisation
Kuzmanovski, Vladimir
;
Hollmén, Jaakko
Discovery Science : 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings
2022
/
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
34
journal article
Short-term PV energy generation forecasting using deep learning
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Rosin, Argo
;
Astapov, Victor
;
Kilter, Jako
Telematique
2022
https://www.provinciajournal.com/index.php/telematique/article/view/813
journal article
35
book article
The validation of graph model-based, gate level low-dimensional feature data for machine learning applications
Balakrishnan, Aneesh
;
Lange, Thomas
;
Glorieux, Maximilien
;
Alexandrescu, Dan
;
Jenihhin, Maksim
2019 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 Xplore
2019
/
7 p
https://doi.org/10.1109/NORCHIP.2019.8906974
book article
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
journal article EST
/
journal article ENG
Toward automatic condition assessment of high-voltage transmission infrastructure using deep learning techniques
Manninen, Henri
;
Ramlal, Craig J.
;
Singh, Arvind
;
Rocke, Sean
;
Kilter, Jako
;
Landsberg, Mart
International journal of electrical power & energy systems
2021
/
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
Seotud publikatsioonid
1
Data-driven asset management and condition assessment methodology for transmission overhead lines = Ülekandevõrgu õhuliinide andmepõhine varahalduse ja seisundi hindamise metoodika
Number of records 36, displaying
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deep learning classifier
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deep learning model
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deep learning model quantization
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deep learning network
8.
Deep-learning
9.
deep-learning (DL)
10.
embedded deep learning
11.
deep reinforcement learning
12.
Deep reinforcing learning SDN
13.
deep donor-deep acceptor pairs
14.
deep brain stimulation
15.
deep convolutional neural network
16.
Deep defects
17.
deep energy levels
18.
deep energy renovation
19.
deep eutectic solvents
20.
deep fake
21.
deep fake recognition
22.
deep habits
23.
deep heat well
24.
deep inference
25.
deep layer
26.
deep level
27.
deep level traps
28.
deep levels
29.
deep neural network
30.
deep neural network compression
31.
deep neural networks
32.
deep neural networks (DNNs)
33.
deep offshore
34.
deep packet inspection
35.
deep renovation
36.
deep understanding
37.
natural deep eutectic solvents
38.
nZEB deep energy renovation
39.
nZEB deep renovation
40.
active blended learning
41.
active learning
42.
active learning methods
43.
adversarial machine learning
44.
adversarial machine-learning
45.
algorithm controlling the learning process
46.
appetitive associative learning
47.
approach to learning
48.
Attitude to learning
49.
authoritarian learning
50.
automata learning
51.
automatic machine learning (autoML)
52.
BIM-enabled learning
53.
BIM-enabled learning environment
54.
blended learning
55.
business school as learning organization
56.
business school learning organization questionnaire (BSLOQ)
57.
business school learning rate dependence on GPD
58.
business school learning rate measurement instrument
59.
challenge-based learning
60.
client learning
61.
Collaborative e-learning
62.
collaborative learning
63.
competence based learning
64.
competence learning
65.
competence-based learning
66.
competency based learning
67.
Component organised learning (COL)
68.
computer assisted language learning
69.
computer based learning
70.
computer-assisted language learning (CALL)
71.
cooperative reinforcement learning
72.
coping with online teaching and learning
73.
customer learning
74.
dictionary learning
75.
digital learning module
76.
digital remote learning
77.
Dimensions of Learning Organisation Questionnaire (DLOQ)
78.
distance learning
79.
distant learning
80.
distributed independent reinforcement learning
81.
double Q-learning
82.
effective teaching and learning
83.
e-learning
84.
e‐learning
85.
e-Learning course
86.
e-Learning database
87.
e-learning environment
88.
electronic learning
89.
Emergency remote learning
90.
ensemble learning
91.
enterprising and entrepreneurial learning
92.
entrepreneurial learning
93.
entrepreneurial teaching and learning
94.
ESG-learning
95.
experiential learning
96.
Federated learning
97.
federated learning (FL)
98.
flexible learning
99.
game based learning
100.
game-based learning
101.
graph machine learning
102.
guided in-service learning
103.
hands-on-learning
104.
history learning
105.
horizontal federated learning
106.
hybrid learning
107.
incremental learning
108.
inductive learning
109.
inductive learning algorithm
110.
interactive learning objects
111.
interdisciplinary learning
112.
interpretable machine learning
113.
inverse reinforcement learning
114.
investor learning
115.
iterative learning
116.
Kolb’s experiential learning cycle
117.
language learning
118.
Learner-centered learning environment
119.
learning
120.
learning (artificial intelligence)
121.
learning activities
122.
learning adaptation in autonomous vehicles
123.
learning algorithm
124.
learning analysis
125.
learning analytics
126.
learning and experimentation
127.
learning and health outcomes
128.
learning and memory
129.
learning business school
130.
learning by teaching
131.
learning concept
132.
learning design
133.
learning difficulties
134.
Learning environment
135.
learning experience
136.
learning infrastructures
137.
Learning Lab
138.
learning management
139.
learning management system
140.
learning management systems
141.
learning methodology
142.
learning metrics
143.
learning models
144.
learning motivation
145.
learning objectives
146.
learning objects
147.
learning organization
148.
learning orientation
149.
learning outcomes
150.
learning process
151.
learning processes
152.
learning rate
153.
learning rate dependence on ownership form
154.
learning rate of organization
155.
learning region
156.
learning situation
157.
learning software agents
158.
learning styles
159.
learning systems
160.
learning technologies
161.
learning theories
162.
learning through the questionnaires
163.
learning university
164.
learning-to-rank
165.
lifelong learning
166.
machine learning
167.
machine learning (ML)
168.
machine learning algorithms
169.
machine learning approach
170.
Machine Learning Explainable model
171.
machine learning for environmental applications
172.
machine learning models
173.
machine learning systems
174.
machine-learning
175.
machine-learning predictive model
176.
mathematics students learning habits
177.
Meaningful learning
178.
measuring learning
179.
mobile learning
180.
model learning
181.
Multi-agent reinforcement learning
182.
mutual learning
183.
new learning models
184.
node embedding learning
185.
NREN e-learning
186.
on-device transfer learning
187.
online learning
188.
ontologies for learning systems
189.
ontology learning
190.
Open Learning Resources (OLR)
191.
organisational learning
192.
organizational learning
193.
organizational learning measurement instruments
194.
organizational learning rate dependence on management
195.
organizational learning rate measurement
196.
outcome oriented learning
197.
Parkinson’s disease machine learning
198.
peer‐to‐peer learning group
199.
personalised learning
200.
policy learning
201.
problem-based learning
202.
Problem-based learning (PBL)
203.
project learning
204.
project-based learning
205.
Q-learning
206.
Q-learning algorithm
207.
query learning
208.
regional learning
209.
reinforcement learning
210.
Reinforcement Learning (RL)
211.
relative learning performance
212.
Remote learning
213.
research-oriented learning
214.
reusable learning objects
215.
robust machine learning
216.
scholarship of teaching and learning
217.
self learning software
218.
self learning system
219.
self-learning
220.
self-regulated learning
221.
semi-supervised learning
222.
small data machine learning
223.
smart learning
224.
smart learning environment
225.
social learning
226.
stochastic learning theory
227.
supervised learning
228.
supervised learning data
229.
supervised machine learning
230.
zero-shot learning
231.
task based learning
232.
team learning
233.
Technological learning
234.
technology-enhanced learning
235.
the dimensions of the learning organisation
236.
the dimensions of the learning organization questionnaire (DLOQ)
237.
tools for interactive learning and teaching
238.
trans-disciplinary social-learning
239.
transfer learning
240.
true online reinforcement learning
241.
ubiquitous learning
242.
unsupervised learning
243.
unsupervised machine learning
244.
urban learning center
245.
value of learning
246.
web and computerbased learning
247.
Web and computer-based learning
248.
virtual collaborative learning environment (VCLE)
249.
virtual learning environment
250.
virtual learning factory
251.
work-based learning
252.
workplace learning
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ELIXIR Machine Learning Focus Group
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