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
machine 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
146
Vaata veel..
(3/324)
Ekspordi
ekspordi kõik päringu tulemused
(146)
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
1
artikkel kogumikus
Accuracy analysis of selected time series and machine learning methods for smart cities based on Estonian electricity consumption forecast
Häring, Tobias
;
Ahmadiahangar, Roya
;
Rosin, Argo
;
Korõtko, Tarmo
;
Biechl, Helmuth
2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings
2020
/
p. 425-428 : ill
https://doi.org/10.1109/CPE-POWERENG48600.2020.9161690
artikkel kogumikus
2
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
AI applications to enhance resilience in power systems and microgrids - a review
Zahraoui, Younes
;
Korõtko, Tarmo
;
Rosin, Argo
;
Mekhilef, Saad
;
Seyedmahmoudian, Mehdi
;
Stojcevski, Alex
;
Alhamrouni, Ibrahim
Sustainability
2024
/
art. 4959
https://doi.org/10.3390/su16124959
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
3
artikkel kogumikus
AI generated route data pre-processing for faster decision making
Maas, Rene
;
Ševtšenko, Eduard
;
Karaulova, Tatjana
2024 8th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE)
2024
/
p. 82-87
https://doi.org/10.1109/YEF-ECE62614.2024.10625086
Article at Scopus
artikkel kogumikus
4
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Anomaly detection, classification and identification Tool (ADCIT)
Asefi, Sajjad
;
Mitrovic, Mile
;
Cetenovic, Dragan
;
Levi, Victor
;
Gryazina, Elena
;
Terzija, Vladimir
Software impacts
2023
/
art. 100465, 3 p. : ill
https://doi.org/10.1016/j.simpa.2023.100465
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
5
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Anti-money laundering powered by graph machine learning: 'Show me your friends and I will tell you who you are'
Astrova, Irina
Intelligent decision technologies
2023
/
p. 243-261
https://doi.org/10.3233/IDT-220193
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
6
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Applicability of spiral drawing test for mental fatigue modelling
Senkiv, Olesja
;
Nõmm, Sven
;
Toomela, Aaro
IFAC-PapersOnLine
2019
/
p. 190-195 : ill
https://doi.org/10.1016/j.ifacol.2019.01.064
Conference proceedings at Scopus
Article at Scopus
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
7
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Application of artificial intelligence and machine learning for BIM : review
Bassir, David
;
Lodge, Hugo
;
Chang, Haochen
;
Majak, Jüri
;
Chen, Gonfa
International journal for simulation and multidisciplinary design optimization
2023
/
art. 5
https://doi.org/10.1051/smdo/2023005
Journal metrics at Scopus
Article at Scopus
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
8
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Application of machine learning for assessment of HS code correctness
Spitšakova, Margarita
;
Haav, Hele-Mai
Baltic journal of modern computing
2020
/
p. 698-718
https://doi.org/10.22364/bjmc.2020.8.4.13
Journal Metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
9
artikkel kogumikus
Applying machine learning with satellite altimetry data for prediction of absolute dynamic topography for the Baltic Sea
Mostafavi, Majid
;
Delpeche-Ellmann, Nicole Camille
;
Ellmann, Artu
Nordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session
2022
/
26 l.
https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf
artikkel kogumikus
10
artikkel kogumikus
Artificial intelligence and education
Jaakkola, Hannu
;
Henno, Jaak
;
Lahti, J-P.
;
Järvinen, Raimo
;
Mäkelainen, Jukka
2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 28 Sept.-2 Oct. 2020, Opatija, Croatia : proceedings
2020
/
p. 548-555
https://doi.org/10.23919/MIPRO48935.2020.9245329
artikkel kogumikus
11
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Artificial intelligence and the GDPR : Inevitable nemeses?
Kesa, Aleksandr
;
Kerikmäe, Tanel
TalTech journal of European studies
2020
/
p. 68-90
https://doi.org/10.1515/bjes-2020-0022
https://content.sciendo.com/view/journals/bjes/bjes-overview.xml?tab_body=latestIssueToc-79907
https://www.ester.ee/record=b5290032*est
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
12
artikkel kogumikus
Artificial intelligence in monitoring and diagnostics of electrical energy conversion systems
Vaimann, Toomas
;
Rassõlkin, Anton
;
Kallaste, Ants
;
Pomarnacki, Raimondas
;
Belahcen, Anouar
;
Van Khang, Hyunh
2020 27th International Workshop on Electric Drives: MPEI Department of Electric Drives 90th Anniversary (IWED), Moscow, Russia, January 27-30, 2020
2020
/
4 p
https://doi.org/10.1109/IWED48848.2020.9069566
artikkel kogumikus
13
artikkel kogumikus
Artificial intelligence within the military domain and cyber warfare
Hallaq, Bil
;
Sõmer, Tiia
;
Osula, Anna-Maria
;
Ngo, Kim
;
Mitchener-Nissen, Timothy
Proceedings of the 16th European Conference on Cyber Warfare and Security, ECCWS 2017 : hosted by University College Dublin, Ireland, 29-30 June 2017
2017
/
p. 153-156
https://www.scopus.com/record/display.uri?eid=2-s2.0-85028013021&origin=resultslist&zone=contextBox
artikkel kogumikus
14
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Artificial lateral line for aquatic habitat modelling: An example for Lefua echigonia
Garcia-Vega, Ana
;
Fuentes-Perez, Juan Francisco
;
Fukuda, Shinji
;
Kruusmaa, Maarja
;
Sanz-Ronda, Francisco Javier
;
Tuhtan, Jeffrey Andrew
Ecological Informatics
2021
/
art. 101388
https://doi.org/10.1016/j.ecoinf.2021.101388
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
15
artikkel kogumikus EST
/
artikkel kogumikus ENG
Autonomous realization of safety- and time-critical embedded artificial intelligence
Lindén, Joakim
;
Ermedahl, Andreas
;
Salomonsson, Hans
;
Daneshtalab, Masoud
;
Forsberg, Björn
;
Carbone, Paris
2024 Design, Automation & Test in Europe Conference & Exhibition (DATE) : proceedings : Valencia, Spain, 25-27 March 2024
2024
/
4 p.
https://doi.org//10.23919/DATE58400.2024.10546824
Article collection metrics at Scopus
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
16
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
A Bayesian optimization approach for calibrating large-scale activity-based transport models
Agriesti, Serio
;
Kuzmanovski, Vladimir
;
Hollmen, Jaakko
;
Roncoli, Claudio
;
Nahmias-Biran, Bat-Hen
IEEE Open Journal of Intelligent Transportation Systems
2023
/
p. 740 - 754
https://doi.org/10.1109/OJITS.2023.3321110
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
17
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Behavioural compass : animal behaviour recognition using magnetometers
Chakravarty, Pritish
;
Maalberg, Maiki
;
Cozzi, Gabriele
;
Ozgul, Arpat
;
Aminian, Kamiar
Movement Ecology
2019
/
Art. nr. 28
https://doi.org/10.1186/s40462-019-0172-6
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
18
artikkel kogumikus
CapsNet on embedded devices in a data scarce scenario
Ezechukwu, Dismas Ndubuis
;
Le Moullec, Yannick
2022 18th Biennial Baltic Electronics Conference (BEC)
2022
/
6 l.
https://doi.org/10.1109/BEC56180.2022.9935600
artikkel kogumikus
19
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Comparing domain expert and machine learning data enrichment of building registry
Torim, Ants
;
Iliste, Elisa
;
Pikas, Ergo
;
Liiv, Innar
;
Robal, Tarmo
;
Kalamees, Targo
Buildings
2025
/
art. 1798
https://doi.org/10.3390/buildings15111798
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
20
artikkel ajakirjas
Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics
Tani, Laurits
;
Veelken, Christian
Computer physics communications
2024
/
p. 108955
https://doi.org/10.1016/j.cpc.2023.108955
artikkel ajakirjas
21
artikkel ajakirjas
Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics : [preprint]
Tani, Laurits
;
Veelken, Christian
arXiv.org
2024
/
8 p. : ill
https://doi.org/10.48550/arXiv.2201.06809
artikkel ajakirjas
22
artikkel kogumikus
Comparison of machine learning based methods for residential load forecasting
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Kütt, Lauri
;
Rosin, Argo
2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM), Kärdla, Estonia, June 12-15, 2019 : proceedings
2019
/
4 p. : ill
https://doi.org/10.1109/PQ.2019.8818267
artikkel kogumikus
23
artikkel kogumikus
Comprehensive Feature Selection for Machine Learning-Based Intrusion Detection in Healthcare IoMT Networks
Rehman, Muaan Ur
;
Kalakoti, Rajesh
;
Bahsi, Hayretdin
Proceedings of the 11th International Conference on Information Systems Security and Privacy (ICISSP 2025). Vol. 2
2025
/
p. 248-259 : ill
https://www.scitepress.org/Papers/2025/133136/133136.pdf
https://doi.org//10.5220/0013313600003899
artikkel kogumikus
Seotud publikatsioonid
1
Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
24
artikkel ajakirjas
Current AI applications by Estonian tax authorities and use case scenarios
Künnapas, Kaido
;
Maslionkina, Palina
;
Hinno, Risto
;
Liberts, Raivis
TalTech Journal of European Studies
2025
/
p. 179-208
https://www.ester.ee/record=b5290032*est
https://doi.org/10.2478/bjes-2025-0010
artikkel ajakirjas
25
artikkel kogumikus
Custom simplified machine learning algorithms for fault diagnosis in electrical machines
Raja, Hadi Ashraf
;
Asad, Bilal
;
Vaimann, Toomas
;
Kallaste, Ants
;
Rassõlkin, Anton
;
Belahcen, Anouar
Diagnostika '22 : 2022 International Conference on Diagnostics in Electrical Engineering : Conference proceedings
2022
/
4 p.
https://doi.org/10.1109/Diagnostika55131.2022.9905174
artikkel kogumikus
Seotud publikatsioonid
1
IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks
Kirjeid leitud 146, kuvan
1 - 25
eelmine
1
2
3
4
5
6
järgmine
võtmesõna
322
1.
adversarial machine learning
2.
adversarial machine-learning
3.
automatic machine learning (autoML)
4.
data analytics and machine learning
5.
explainable machine learning
6.
graph machine learning
7.
interpretable machine learning
8.
machine learning
9.
machine learning (ML)
10.
machine learning algorithms
11.
machine learning approach
12.
Machine Learning Explainable model
13.
machine learning for environmental applications
14.
machine learning models
15.
machine learning systems
16.
machine-learning
17.
machine-learning predictive model
18.
Parkinson’s disease machine learning
19.
robust machine learning
20.
small data machine learning
21.
supervised machine learning
22.
unsupervised machine learning
23.
machine-to-machine communications
24.
AC machine
25.
Algorithmic State Machine - ASM
26.
axial flux machine
27.
axial flux switched reluctance machine
28.
bearingless machine
29.
brushless machine
30.
coordinate measurring machine
31.
electric machine
32.
electric machine analysis computing
33.
electric machine control
34.
electrical machine
35.
electrical machine cooling
36.
electrical machine design
37.
finite state machine
38.
Finite State Machine - FSM
39.
hierarchical finite state machine
40.
high-frequency machine modeling
41.
human machine interaction
42.
human machine systems
43.
human-machine interaction
44.
human-machine interactions
45.
human-machine interface
46.
human-machine system
47.
induction machine
48.
interior permanent magnet machine
49.
interior permanent-magnet synchronous machine (IPMSM)
50.
logic machine
51.
low-resource machine translation
52.
machine bearings
53.
machine condition monitoring
54.
machine control
55.
machine design
56.
machine elements
57.
machine error
58.
machine housing
59.
machine tools
60.
machine translation
61.
machine vector control
62.
machine windings
63.
machine vision
64.
machine-checked proofs
65.
machine-translation
66.
man-machine systems
67.
massive machine type communication (mMTC)
68.
massive machine-type communication (mMTC)
69.
massive machine-type communication devices (mMTC)
70.
massive machine-type communications (mMTC)
71.
massive Machine-Type connections (mMTC)
72.
multi-class support vector machine (m-SVM)
73.
multi-machine
74.
multi-machine industrial power plant
75.
multi-machine power system
76.
multi-stream interaction machine
77.
neural machine translation
78.
outer-rotor machine
79.
permanent magnet (PM) synchronous machine
80.
permanent magnet flux-switching machine
81.
permanent magnet machine
82.
permanent magnet synchronous machine (PMSM)
83.
reluctance machine
84.
sewing machine operator
85.
spoke-type PM machine
86.
state machine
87.
support vector machine
88.
surface permanent magnet machine (SPM)
89.
switched reluctance machine
90.
switched reluctance machine (SRM)
91.
synchronous machine
92.
TBM (tunnel boring machine)
93.
totally enclosed fan-cooled machine
94.
universal friction machine
95.
virtual synchronous machine
96.
active blended learning
97.
active learning
98.
active learning and engagement
99.
active learning methods
100.
adaptive learning
101.
algorithm controlling the learning process
102.
appetitive associative learning
103.
approach to learning
104.
Attitude to learning
105.
authoritarian learning
106.
automata learning
107.
bayesian learning
108.
BIM-enabled learning
109.
BIM-enabled learning environment
110.
biophilic learning environments
111.
blended learning
112.
business school as learning organization
113.
business school learning organization questionnaire (BSLOQ)
114.
business school learning rate dependence on GPD
115.
business school learning rate measurement instrument
116.
challenge-based learning
117.
Challenge-Based Learning (CBL)
118.
client learning
119.
Collaborative e-learning
120.
collaborative learning
121.
competence based learning
122.
competence learning
123.
competence-based learning
124.
competency based learning
125.
Component organised learning (COL)
126.
computer assisted language learning
127.
computer based learning
128.
computer-assisted language learning (CALL)
129.
contrastive learning
130.
cooperative reinforcement learning
131.
coping with online teaching and learning
132.
customer learning
133.
deep learning
134.
deep learning (DL)
135.
deep learning classifier
136.
deep learning method
137.
deep learning methods
138.
deep learning model
139.
deep learning model quantization
140.
deep learning network
141.
deep reinforcement learning
142.
Deep reinforcing learning SDN
143.
Deep-learning
144.
deep-learning (DL)
145.
dictionary learning
146.
digital learning module
147.
digital remote learning
148.
Dimensions of Learning Organisation Questionnaire (DLOQ)
149.
distance learning
150.
distant learning
151.
distributed independent reinforcement learning
152.
double Q-learning
153.
effective teaching and learning
154.
e-learning
155.
e‐learning
156.
e-Learning course
157.
e-Learning database
158.
e-learning environment
159.
electronic learning
160.
embedded deep learning
161.
Emergency remote learning
162.
ensemble learning
163.
enterprising and entrepreneurial learning
164.
entrepreneurial learning
165.
entrepreneurial teaching and learning
166.
ESG-learning
167.
experiential learning
168.
Federated learning
169.
federated learning (FL)
170.
flexible learning
171.
game based learning
172.
game-based learning
173.
Gamified learning
174.
guided in-service learning
175.
hands-on-learning
176.
history learning
177.
horizontal federated learning
178.
human-centred learning
179.
hybrid learning
180.
Immersive Learning
181.
incremental learning
182.
inductive learning
183.
inductive learning algorithm
184.
interactive learning objects
185.
interdisciplinary learning
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.
long-short term learning
243.
mathematics students learning habits
244.
Meaningful learning
245.
measuring learning
246.
mobile learning
247.
model learning
248.
Multi-agent reinforcement learning
249.
multi-task learning
250.
mutual learning
251.
new learning models
252.
node embedding learning
253.
NREN e-learning
254.
on-device transfer learning
255.
online learning
256.
ontologies for learning systems
257.
ontology learning
258.
Open Learning Resources (OLR)
259.
organisational learning
260.
organizational learning
261.
organizational learning measurement instruments
262.
organizational learning rate dependence on management
263.
organizational learning rate measurement
264.
outcome oriented learning
265.
peer‐to‐peer learning group
266.
personalised learning
267.
Personalized learning
268.
policy learning
269.
problem-based learning
270.
Problem-based learning (PBL)
271.
project learning
272.
project-based learning
273.
Q-learning
274.
Q-learning algorithm
275.
query learning
276.
regional learning
277.
reinforcement learning
278.
Reinforcement Learning (RL)
279.
relative learning performance
280.
Remote learning
281.
research-oriented learning
282.
reusable learning objects
283.
scholarship of teaching and learning
284.
self learning software
285.
self learning system
286.
self-learning
287.
self-regulated learning
288.
semi-supervised learning
289.
sequence of learning activities
290.
SIS problem, learning with errors
291.
smart learning
292.
smart learning environment
293.
social learning
294.
socio-emotional learning
295.
stochastic learning theory
296.
student centred learning
297.
supervised contrastive learning
298.
supervised learning
299.
supervised learning data
300.
synchronous hybrid learning
301.
zero-shot learning
302.
task based learning
303.
team learning
304.
Technological learning
305.
technology-enhanced learning
306.
the dimensions of the learning organisation
307.
the dimensions of the learning organization questionnaire (DLOQ)
308.
tools for interactive learning and teaching
309.
trans-disciplinary social-learning
310.
transfer learning
311.
true online reinforcement learning
312.
ubiquitous learning
313.
unsupervised learning
314.
urban learning center
315.
value of learning
316.
web and computerbased learning
317.
Web and computer-based learning
318.
virtual collaborative learning environment (VCLE)
319.
virtual learning environment
320.
virtual learning factory
321.
work-based learning
322.
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