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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
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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
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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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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
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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 145, kuvan
1 - 25
eelmine
1
2
3
4
5
6
järgmine
võtmesõna
319
1.
adversarial machine learning
2.
adversarial machine-learning
3.
automatic machine learning (autoML)
4.
data analytics and machine learning
5.
graph machine learning
6.
interpretable machine learning
7.
machine learning
8.
machine learning (ML)
9.
machine learning algorithms
10.
machine learning approach
11.
Machine Learning Explainable model
12.
machine learning for environmental applications
13.
machine learning models
14.
machine learning systems
15.
machine-learning
16.
machine-learning predictive model
17.
Parkinson’s disease machine learning
18.
robust machine learning
19.
small data machine learning
20.
supervised machine learning
21.
unsupervised machine learning
22.
machine-to-machine communications
23.
AC machine
24.
Algorithmic State Machine - ASM
25.
axial flux machine
26.
axial flux switched reluctance machine
27.
bearingless machine
28.
brushless machine
29.
coordinate measurring machine
30.
electric machine
31.
electric machine analysis computing
32.
electric machine control
33.
electrical machine
34.
electrical machine cooling
35.
electrical machine design
36.
finite state machine
37.
Finite State Machine - FSM
38.
hierarchical finite state machine
39.
high-frequency machine modeling
40.
human machine interaction
41.
human machine systems
42.
human-machine interaction
43.
human-machine interactions
44.
human-machine interface
45.
human-machine system
46.
induction machine
47.
interior permanent magnet machine
48.
interior permanent-magnet synchronous machine (IPMSM)
49.
logic machine
50.
low-resource machine translation
51.
machine bearings
52.
machine condition monitoring
53.
machine control
54.
machine design
55.
machine elements
56.
machine error
57.
machine housing
58.
machine tools
59.
machine translation
60.
machine vector control
61.
machine windings
62.
machine vision
63.
machine-checked proofs
64.
machine-translation
65.
man-machine systems
66.
massive machine type communication (mMTC)
67.
massive machine-type communication (mMTC)
68.
massive machine-type communications (mMTC)
69.
massive Machine-Type connections (mMTC)
70.
multi-class support vector machine (m-SVM)
71.
multi-machine
72.
multi-machine industrial power plant
73.
multi-machine power system
74.
multi-stream interaction machine
75.
neural machine translation
76.
outer-rotor machine
77.
permanent magnet (PM) synchronous machine
78.
permanent magnet flux-switching machine
79.
permanent magnet machine
80.
permanent magnet synchronous machine (PMSM)
81.
reluctance machine
82.
sewing machine operator
83.
spoke-type PM machine
84.
state machine
85.
support vector machine
86.
surface permanent magnet machine (SPM)
87.
switched reluctance machine
88.
switched reluctance machine (SRM)
89.
synchronous machine
90.
TBM (tunnel boring machine)
91.
totally enclosed fan-cooled machine
92.
universal friction machine
93.
virtual synchronous machine
94.
active blended learning
95.
active learning
96.
active learning and engagement
97.
active learning methods
98.
adaptive learning
99.
algorithm controlling the learning process
100.
appetitive associative learning
101.
approach to learning
102.
Attitude to learning
103.
authoritarian learning
104.
automata learning
105.
bayesian learning
106.
BIM-enabled learning
107.
BIM-enabled learning environment
108.
biophilic learning environments
109.
blended learning
110.
business school as learning organization
111.
business school learning organization questionnaire (BSLOQ)
112.
business school learning rate dependence on GPD
113.
business school learning rate measurement instrument
114.
challenge-based learning
115.
Challenge-Based Learning (CBL)
116.
client learning
117.
Collaborative e-learning
118.
collaborative learning
119.
competence based learning
120.
competence learning
121.
competence-based learning
122.
competency based learning
123.
Component organised learning (COL)
124.
computer assisted language learning
125.
computer based learning
126.
computer-assisted language learning (CALL)
127.
contrastive learning
128.
cooperative reinforcement learning
129.
coping with online teaching and learning
130.
customer learning
131.
deep learning
132.
deep learning (DL)
133.
deep learning classifier
134.
deep learning method
135.
deep learning methods
136.
deep learning model
137.
deep learning model quantization
138.
deep learning network
139.
deep reinforcement learning
140.
Deep reinforcing learning SDN
141.
Deep-learning
142.
deep-learning (DL)
143.
dictionary learning
144.
digital learning module
145.
digital remote learning
146.
Dimensions of Learning Organisation Questionnaire (DLOQ)
147.
distance learning
148.
distant learning
149.
distributed independent reinforcement learning
150.
double Q-learning
151.
effective teaching and learning
152.
e-learning
153.
e‐learning
154.
e-Learning course
155.
e-Learning database
156.
e-learning environment
157.
electronic learning
158.
embedded deep learning
159.
Emergency remote learning
160.
ensemble learning
161.
enterprising and entrepreneurial learning
162.
entrepreneurial learning
163.
entrepreneurial teaching and learning
164.
ESG-learning
165.
experiential learning
166.
Federated learning
167.
federated learning (FL)
168.
flexible learning
169.
game based learning
170.
game-based learning
171.
guided in-service learning
172.
hands-on-learning
173.
history learning
174.
horizontal federated learning
175.
human-centred learning
176.
hybrid learning
177.
Immersive Learning
178.
incremental learning
179.
inductive learning
180.
inductive learning algorithm
181.
interactive learning objects
182.
interdisciplinary learning
183.
inverse reinforcement learning
184.
investor learning
185.
iterative learning
186.
Kolb’s experiential learning cycle
187.
language learning
188.
Learner-centered learning environment
189.
learning
190.
learning (artificial intelligence)
191.
learning activities
192.
learning adaptation in autonomous vehicles
193.
learning algorithm
194.
learning analysis
195.
learning analytics
196.
learning and experimentation
197.
learning and health outcomes
198.
learning and memory
199.
learning business school
200.
learning by teaching
201.
learning concept
202.
learning content
203.
learning design
204.
learning difficulties
205.
Learning environment
206.
learning experience
207.
learning factory
208.
Learning from Demonstration
209.
learning infrastructures
210.
Learning Lab
211.
learning management
212.
learning management system
213.
learning management systems
214.
learning methodology
215.
learning metrics
216.
learning models
217.
learning motivation
218.
learning objectives
219.
learning objects
220.
learning organization
221.
learning orientation
222.
learning outcomes
223.
learning process
224.
learning processes
225.
learning rate
226.
learning rate dependence on ownership form
227.
learning rate of organization
228.
learning region
229.
learning situation
230.
learning software agents
231.
learning styles
232.
learning systems
233.
learning technologies
234.
learning theories
235.
learning through the questionnaires
236.
learning university
237.
learning-to-rank
238.
lifelong learning
239.
long-short term learning
240.
mathematics students learning habits
241.
Meaningful learning
242.
measuring learning
243.
mobile learning
244.
model learning
245.
Multi-agent reinforcement learning
246.
multi-task learning
247.
mutual learning
248.
new learning models
249.
node embedding learning
250.
NREN e-learning
251.
on-device transfer learning
252.
online learning
253.
ontologies for learning systems
254.
ontology learning
255.
Open Learning Resources (OLR)
256.
organisational learning
257.
organizational learning
258.
organizational learning measurement instruments
259.
organizational learning rate dependence on management
260.
organizational learning rate measurement
261.
outcome oriented learning
262.
peer‐to‐peer learning group
263.
personalised learning
264.
Personalized learning
265.
policy learning
266.
problem-based learning
267.
Problem-based learning (PBL)
268.
project learning
269.
project-based learning
270.
Q-learning
271.
Q-learning algorithm
272.
query learning
273.
regional learning
274.
reinforcement learning
275.
Reinforcement Learning (RL)
276.
relative learning performance
277.
Remote learning
278.
research-oriented learning
279.
reusable learning objects
280.
scholarship of teaching and learning
281.
self learning software
282.
self learning system
283.
self-learning
284.
self-regulated learning
285.
semi-supervised learning
286.
sequence of learning activities
287.
SIS problem, learning with errors
288.
smart learning
289.
smart learning environment
290.
social learning
291.
socio-emotional learning
292.
stochastic learning theory
293.
student centred learning
294.
supervised contrastive learning
295.
supervised learning
296.
supervised learning data
297.
synchronous hybrid learning
298.
zero-shot learning
299.
task based learning
300.
team learning
301.
Technological learning
302.
technology-enhanced learning
303.
the dimensions of the learning organisation
304.
the dimensions of the learning organization questionnaire (DLOQ)
305.
tools for interactive learning and teaching
306.
trans-disciplinary social-learning
307.
transfer learning
308.
true online reinforcement learning
309.
ubiquitous learning
310.
unsupervised learning
311.
urban learning center
312.
value of learning
313.
web and computerbased learning
314.
Web and computer-based learning
315.
virtual collaborative learning environment (VCLE)
316.
virtual learning environment
317.
virtual learning factory
318.
work-based learning
319.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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