Toggle navigation
Publikatsioonid
Profiilid
Uurimisrühmad
Registrid
Abi ja info
Switch to English
Intranet
Publikatsioonid
Profiilid
Uurimisrühmad
Registrid
Abi ja info
English
Intranet
Andmebaasid
Publikatsioonid
Otsing
Valitud kirjed
0
deep learning (võtmesõna)
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
—
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
—
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
—
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
—
Lisa tingimus
Liitotsing
filter
Tühista
×
teaviku laadid
raamat
..
artikkel ajakirjas
..
artikkel ajalehes
..
artikkel kogumikus
..
dissertatsioon
..
Open Access
..
Teaduspublikatsioon
..
aasta
ilmumisaasta
Toon andmeid..
autor
Toon andmeid..
TTÜ struktuuriüksus
Toon andmeid..
märksõna
Toon andmeid..
seeria-sari
Toon andmeid..
tema kohta
Toon andmeid..
võtmesõna
Toon andmeid..
Tühista
Kirjeid leitud
42
Vaata veel..
(3/283)
Ekspordi
ekspordi kõik päringu tulemused
(42)
Salvesta TXT fail
prindi
Märgitud kirjetega toimetamiseks ava
valitud kirjed
kuva
Bibliokirje
Lühikirje
reasta
autor kasvavalt
autor kahanevalt
ilmumisaasta kasvavalt
ilmumisaasta kahanevalt
pealkiri kasvavalt
pealkiri kahanevalt
26
artikkel kogumikus
Machine learning and deep learning techniques for residential load forecasting : a comparative analysis
Shabbir, Noman
;
Kütt, Lauri
;
Raja, Hadi Ashraf
;
Ahmadiahangar, Roya
;
Rosin, Argo
;
Husev, Oleksandr
2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): conference proceedings
2021
/
p. 1-5
https://doi.org/10.1109/RTUCON53541.2021.9711741
artikkel kogumikus
Seotud publikatsioonid
1
Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
27
artikkel kogumikus EST
/
artikkel kogumikus ENG
Machine learning techniques for wireless-powered ambient backscatter communications : enabling intelligent iot networks in 6g era
Jameel, 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
artikkel kogumikus EST
/
artikkel kogumikus ENG
28
artikkel ajakirjas
Multi-algorithm-based urban tree information extraction and Its applications in urban planning : research note
Yao, Chaowen
;
Fabritius, Eeva Henna Helena
;
Fricker, Pia
;
Dembski, Fabian
Landscape and urban planning
2025
/
art. 105226
https://doi.org/10.1016/j.landurbplan.2024.105226
artikkel ajakirjas
29
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Multi-stage deep learning networks for automated assessment of electricity transmission infrastructure using fly-by images
Manninen, Henri
;
Ramlal, Craig J.
;
Singh, Arvind
;
Kilter, Jako
;
Landsberg, Mart
Electric power systems research
2022
/
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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
30
artikkel ajakirjas EST
/
artikkel ajakirjas 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, Sadok
Expert systems with applications
2024
/
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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
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
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
32
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
33
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Orthophoto classification for UGV pth planning using heterogeneous computing
Hudjakov, Robert
;
Tamre, Mart
International journal of advanced robotic systems
2013
/
[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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
34
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
35
artikkel kogumikus
Preliminary results in using attention for increasing attack identification efficiency
Ahmad, Tanwir
;
Truscan, Dragos
;
Vain, Jüri
2023 IEEE 16th International Conferenceon Software Testing, Verification andValidation Workshops, ICSTW 2023, 16-20 April 2023, Dublin, Ireland, Proceedings
2023
/
p. 159 - 164
https://doi.org/10.1109/ICSTW58534.2023.00038
artikkel kogumikus
36
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
37
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
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
38
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
39
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
40
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
41
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
42
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 42, kuvan
26 - 42
eelmine
1
2
järgmine
võtmesõna
281
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.
naturally available deep eutectic solvents
41.
nZEB deep energy renovation
42.
nZEB deep renovation
43.
active blended learning
44.
active learning
45.
active learning and engagement
46.
active learning methods
47.
adaptive learning
48.
adversarial machine learning
49.
adversarial machine-learning
50.
algorithm controlling the learning process
51.
appetitive associative learning
52.
approach to learning
53.
Attitude to learning
54.
authoritarian learning
55.
automata learning
56.
automatic machine learning (autoML)
57.
bayesian learning
58.
BIM-enabled learning
59.
BIM-enabled learning environment
60.
biophilic learning environments
61.
blended learning
62.
business school as learning organization
63.
business school learning organization questionnaire (BSLOQ)
64.
business school learning rate dependence on GPD
65.
business school learning rate measurement instrument
66.
challenge-based learning
67.
Challenge-Based Learning (CBL)
68.
city-to-city learning
69.
client learning
70.
Collaborative e-learning
71.
collaborative learning
72.
competence based learning
73.
competence learning
74.
competence-based learning
75.
competency based learning
76.
Component organised learning (COL)
77.
computer assisted language learning
78.
computer based learning
79.
computer-assisted language learning (CALL)
80.
contrastive learning
81.
cooperative reinforcement learning
82.
coping with online teaching and learning
83.
customer learning
84.
data analytics and machine learning
85.
dictionary learning
86.
digital learning module
87.
digital remote learning
88.
Dimensions of Learning Organisation Questionnaire (DLOQ)
89.
distance learning
90.
distant learning
91.
distributed independent reinforcement learning
92.
double Q-learning
93.
effective teaching and learning
94.
e-learning
95.
e‐learning
96.
e-Learning course
97.
e-Learning database
98.
e-learning environment
99.
electronic learning
100.
Emergency remote learning
101.
ensemble learning
102.
enterprising and entrepreneurial learning
103.
entrepreneurial learning
104.
entrepreneurial teaching and learning
105.
ESG-learning
106.
experiential learning
107.
explainable machine learning
108.
Federated learning
109.
federated learning (FL)
110.
flexible learning
111.
game based learning
112.
game-based learning
113.
Gamified learning
114.
graph machine learning
115.
guided in-service learning
116.
hands-on-learning
117.
history learning
118.
horizontal federated learning
119.
human-centred learning
120.
hybrid learning
121.
Immersive Learning
122.
incremental learning
123.
inductive learning
124.
inductive learning algorithm
125.
interactive learning objects
126.
interdisciplinary learning
127.
interpretable machine learning
128.
inverse reinforcement learning
129.
investor learning
130.
iterative learning
131.
Kolb’s experiential learning cycle
132.
language learning
133.
Learner-centered learning environment
134.
learning
135.
learning (artificial intelligence)
136.
learning activities
137.
learning adaptation in autonomous vehicles
138.
learning algorithm
139.
learning analysis
140.
learning analytics
141.
learning and experimentation
142.
learning and health outcomes
143.
learning and memory
144.
learning business school
145.
learning by teaching
146.
learning concept
147.
learning content
148.
learning design
149.
learning difficulties
150.
Learning environment
151.
learning experience
152.
learning factory
153.
Learning from Demonstration
154.
learning infrastructures
155.
Learning Lab
156.
learning management
157.
learning management system
158.
learning management systems
159.
learning methodology
160.
learning metrics
161.
learning models
162.
learning motivation
163.
learning objectives
164.
learning objects
165.
learning organization
166.
learning orientation
167.
learning outcomes
168.
learning process
169.
learning processes
170.
learning rate
171.
learning rate dependence on ownership form
172.
learning rate of organization
173.
learning region
174.
learning situation
175.
learning software agents
176.
learning styles
177.
learning systems
178.
learning technologies
179.
learning theories
180.
learning through the questionnaires
181.
learning university
182.
learning-to-rank
183.
lifelong learning
184.
long-short term learning
185.
machine learning
186.
machine learning (ML)
187.
machine learning algorithms
188.
machine learning approach
189.
Machine Learning Explainable model
190.
machine learning for environmental applications
191.
machine learning models
192.
machine learning systems
193.
machine-learning
194.
machine-learning predictive model
195.
mathematics students learning habits
196.
Meaningful learning
197.
measuring learning
198.
mobile learning
199.
model learning
200.
Multi-agent reinforcement learning
201.
multi-task learning
202.
mutual learning
203.
new learning models
204.
node embedding learning
205.
NREN e-learning
206.
on-device transfer learning
207.
online learning
208.
ontologies for learning systems
209.
ontology learning
210.
Open Learning Resources (OLR)
211.
organisational learning
212.
organizational learning
213.
organizational learning measurement instruments
214.
organizational learning rate dependence on management
215.
organizational learning rate measurement
216.
outcome oriented learning
217.
Parkinson’s disease machine learning
218.
peer‐to‐peer learning group
219.
personalised learning
220.
Personalized learning
221.
policy learning
222.
problem-based learning
223.
Problem-based learning (PBL)
224.
project learning
225.
project-based learning
226.
Q-learning
227.
Q-learning algorithm
228.
query learning
229.
regional learning
230.
reinforcement learning
231.
Reinforcement Learning (RL)
232.
relative learning performance
233.
Remote learning
234.
research-oriented learning
235.
reusable learning objects
236.
robust machine learning
237.
scholarship of teaching and learning
238.
self learning software
239.
self learning system
240.
self-learning
241.
self-regulated learning
242.
semi-supervised learning
243.
sequence of learning activities
244.
sequence to sequence learning
245.
sequential learning
246.
SIS problem, learning with errors
247.
small data machine learning
248.
smart learning
249.
smart learning environment
250.
social learning
251.
socio-emotional learning
252.
stochastic learning theory
253.
student centred learning
254.
supervised contrastive learning
255.
supervised learning
256.
supervised learning data
257.
supervised machine learning
258.
synchronous hybrid learning
259.
zero-shot learning
260.
task based learning
261.
team learning
262.
Technological learning
263.
technology-enhanced learning
264.
the dimensions of the learning organisation
265.
the dimensions of the learning organization questionnaire (DLOQ)
266.
tools for interactive learning and teaching
267.
trans-disciplinary social-learning
268.
transfer learning
269.
true online reinforcement learning
270.
ubiquitous learning
271.
unsupervised learning
272.
unsupervised machine learning
273.
urban learning center
274.
value of learning
275.
web and computerbased learning
276.
Web and computer-based learning
277.
virtual collaborative learning environment (VCLE)
278.
virtual learning environment
279.
virtual learning factory
280.
work-based learning
281.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
×
vaste
algab
lõpeb
sisaldab
reasta
Relevantsuse alusel
kasvavalt
kahanevalt
ilmumisaasta
autor
TTÜ struktuuriüksus
märksõna
seeria-sari
tema kohta
võtmesõna
Otsing
Valikud
0
ilmumisaasta
AND
OR
NOT
autor
AND
OR
NOT
TTÜ struktuuriüksus
AND
OR
NOT
märksõna
AND
OR
NOT
seeria-sari
AND
OR
NOT
tema kohta
AND
OR
NOT
võtmesõna
AND
OR
NOT