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machine learning (võtmesõna)
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
321
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 communications (mMTC)
70.
massive Machine-Type connections (mMTC)
71.
multi-class support vector machine (m-SVM)
72.
multi-machine
73.
multi-machine industrial power plant
74.
multi-machine power system
75.
multi-stream interaction machine
76.
neural machine translation
77.
outer-rotor machine
78.
permanent magnet (PM) synchronous machine
79.
permanent magnet flux-switching machine
80.
permanent magnet machine
81.
permanent magnet synchronous machine (PMSM)
82.
reluctance machine
83.
sewing machine operator
84.
spoke-type PM machine
85.
state machine
86.
support vector machine
87.
surface permanent magnet machine (SPM)
88.
switched reluctance machine
89.
switched reluctance machine (SRM)
90.
synchronous machine
91.
TBM (tunnel boring machine)
92.
totally enclosed fan-cooled machine
93.
universal friction machine
94.
virtual synchronous machine
95.
active blended learning
96.
active learning
97.
active learning and engagement
98.
active learning methods
99.
adaptive learning
100.
algorithm controlling the learning process
101.
appetitive associative learning
102.
approach to learning
103.
Attitude to learning
104.
authoritarian learning
105.
automata learning
106.
bayesian learning
107.
BIM-enabled learning
108.
BIM-enabled learning environment
109.
biophilic learning environments
110.
blended learning
111.
business school as learning organization
112.
business school learning organization questionnaire (BSLOQ)
113.
business school learning rate dependence on GPD
114.
business school learning rate measurement instrument
115.
challenge-based learning
116.
Challenge-Based Learning (CBL)
117.
client learning
118.
Collaborative e-learning
119.
collaborative learning
120.
competence based learning
121.
competence learning
122.
competence-based learning
123.
competency based learning
124.
Component organised learning (COL)
125.
computer assisted language learning
126.
computer based learning
127.
computer-assisted language learning (CALL)
128.
contrastive learning
129.
cooperative reinforcement learning
130.
coping with online teaching and learning
131.
customer learning
132.
deep learning
133.
deep learning (DL)
134.
deep learning classifier
135.
deep learning method
136.
deep learning methods
137.
deep learning model
138.
deep learning model quantization
139.
deep learning network
140.
deep reinforcement learning
141.
Deep reinforcing learning SDN
142.
Deep-learning
143.
deep-learning (DL)
144.
dictionary learning
145.
digital learning module
146.
digital remote learning
147.
Dimensions of Learning Organisation Questionnaire (DLOQ)
148.
distance learning
149.
distant learning
150.
distributed independent reinforcement learning
151.
double Q-learning
152.
effective teaching and learning
153.
e-learning
154.
e‐learning
155.
e-Learning course
156.
e-Learning database
157.
e-learning environment
158.
electronic learning
159.
embedded deep learning
160.
Emergency remote learning
161.
ensemble learning
162.
enterprising and entrepreneurial learning
163.
entrepreneurial learning
164.
entrepreneurial teaching and learning
165.
ESG-learning
166.
experiential learning
167.
Federated learning
168.
federated learning (FL)
169.
flexible learning
170.
game based learning
171.
game-based learning
172.
Gamified learning
173.
guided in-service learning
174.
hands-on-learning
175.
history learning
176.
horizontal federated learning
177.
human-centred learning
178.
hybrid learning
179.
Immersive Learning
180.
incremental learning
181.
inductive learning
182.
inductive learning algorithm
183.
interactive learning objects
184.
interdisciplinary learning
185.
inverse reinforcement learning
186.
investor learning
187.
iterative learning
188.
Kolb’s experiential learning cycle
189.
language learning
190.
Learner-centered learning environment
191.
learning
192.
learning (artificial intelligence)
193.
learning activities
194.
learning adaptation in autonomous vehicles
195.
learning algorithm
196.
learning analysis
197.
learning analytics
198.
learning and experimentation
199.
learning and health outcomes
200.
learning and memory
201.
learning business school
202.
learning by teaching
203.
learning concept
204.
learning content
205.
learning design
206.
learning difficulties
207.
Learning environment
208.
learning experience
209.
learning factory
210.
Learning from Demonstration
211.
learning infrastructures
212.
Learning Lab
213.
learning management
214.
learning management system
215.
learning management systems
216.
learning methodology
217.
learning metrics
218.
learning models
219.
learning motivation
220.
learning objectives
221.
learning objects
222.
learning organization
223.
learning orientation
224.
learning outcomes
225.
learning process
226.
learning processes
227.
learning rate
228.
learning rate dependence on ownership form
229.
learning rate of organization
230.
learning region
231.
learning situation
232.
learning software agents
233.
learning styles
234.
learning systems
235.
learning technologies
236.
learning theories
237.
learning through the questionnaires
238.
learning university
239.
learning-to-rank
240.
lifelong learning
241.
long-short term learning
242.
mathematics students learning habits
243.
Meaningful learning
244.
measuring learning
245.
mobile learning
246.
model learning
247.
Multi-agent reinforcement learning
248.
multi-task learning
249.
mutual learning
250.
new learning models
251.
node embedding learning
252.
NREN e-learning
253.
on-device transfer learning
254.
online learning
255.
ontologies for learning systems
256.
ontology learning
257.
Open Learning Resources (OLR)
258.
organisational learning
259.
organizational learning
260.
organizational learning measurement instruments
261.
organizational learning rate dependence on management
262.
organizational learning rate measurement
263.
outcome oriented learning
264.
peer‐to‐peer learning group
265.
personalised learning
266.
Personalized learning
267.
policy learning
268.
problem-based learning
269.
Problem-based learning (PBL)
270.
project learning
271.
project-based learning
272.
Q-learning
273.
Q-learning algorithm
274.
query learning
275.
regional learning
276.
reinforcement learning
277.
Reinforcement Learning (RL)
278.
relative learning performance
279.
Remote learning
280.
research-oriented learning
281.
reusable learning objects
282.
scholarship of teaching and learning
283.
self learning software
284.
self learning system
285.
self-learning
286.
self-regulated learning
287.
semi-supervised learning
288.
sequence of learning activities
289.
SIS problem, learning with errors
290.
smart learning
291.
smart learning environment
292.
social learning
293.
socio-emotional learning
294.
stochastic learning theory
295.
student centred learning
296.
supervised contrastive learning
297.
supervised learning
298.
supervised learning data
299.
synchronous hybrid learning
300.
zero-shot learning
301.
task based learning
302.
team learning
303.
Technological learning
304.
technology-enhanced learning
305.
the dimensions of the learning organisation
306.
the dimensions of the learning organization questionnaire (DLOQ)
307.
tools for interactive learning and teaching
308.
trans-disciplinary social-learning
309.
transfer learning
310.
true online reinforcement learning
311.
ubiquitous learning
312.
unsupervised learning
313.
urban learning center
314.
value of learning
315.
web and computerbased learning
316.
Web and computer-based learning
317.
virtual collaborative learning environment (VCLE)
318.
virtual learning environment
319.
virtual learning factory
320.
work-based learning
321.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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