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26
artikkel kogumikus
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
artikkel kogumikus
27
artikkel kogumikus EST
/
artikkel kogumikus 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
artikkel kogumikus EST
/
artikkel kogumikus ENG
28
artikkel ajakirjas
Orthophoto classification for UGV pth planning using heterogeneous computing
Hudjakov, Robert
;
Tamre, Mart
International journal of advanced robotic systems
2013
/
[7] p. : ill
artikkel ajakirjas
29
artikkel ajakirjas EST
/
artikkel ajakirjas 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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
30
artikkel kogumikus
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
artikkel kogumikus
31
artikkel ajakirjas EST
/
artikkel ajakirjas 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
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Article at WOS
artikkel ajakirjas EST
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artikkel ajakirjas ENG
32
artikkel kogumikus
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
artikkel kogumikus
33
artikkel kogumikus EST
/
artikkel kogumikus 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
artikkel kogumikus EST
/
artikkel kogumikus ENG
34
artikkel ajakirjas
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
artikkel ajakirjas
35
artikkel kogumikus
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
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 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
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
võtmesõna
242
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
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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