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1
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
An advanced diagnostic approach for broken rotor bar detection and classification in DTC controlled induction motors by leveraging dynamic SHAP interaction feature selection (DSHAP-IFS) GBDT methodology
Khan, Muhammad Amir
;
Asad, Bilal
;
Vaimann, Toomas
;
Kallaste, Ants
Machines
2024
/
art. 495
https://doi.org/10.3390/machines12070495
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
2
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Anomaly detection and classification in power system state estimation: Combining model-based and data-driven methods
Asefi, Sajjad
;
Mitrovic, Mile
;
Cetenovic, Dragan
;
Levi, Victor
;
Gryazina, Elena
;
Terzija, Vladimir
Sustainable energy, grids and networks
2023
/
art. 101116, 14 p. : ill
https://doi.org/10.1016/j.segan.2023.101116
Journal metrics at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
3
artikkel kogumikus
Automatic NLOS classification from virtual 3D city models
Müürsepp, Ivo
;
Alam, Muhammad Mahtab
2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC)
2023
/
p. 190-195
https://doi.org/10.1109/FMEC59375.2023.10306158
artikkel kogumikus
4
raamat
Bioinspired Designs for Additive Manufacturing in Advanced Engineering Applications : Special Issue
2024
https://www.mdpi.com/journal/biomimetics/special_issues/0K2292JW30
raamat
5
artikkel kogumikus
Broken rotor bar fault detection using machine learning: Optimal frequency resolution
Koveshnikov, Semen
;
Bouharrouti, Nada El
;
Kudelina, Karolina
;
Naseer, Muhammad Usman
;
Vaimann, Toomas
;
Belahcen, Anouar
2024 International Conference on Electrical Machines (ICEM)
2024
/
6 p
https://doi.org/10.1109/ICEM60801.2024.10700228
Article at Scopus
Article at WOS
artikkel kogumikus
6
artikkel kogumikus
Challenges in using neural networks in safety-critical applications
Forsberg, H.
;
Linden, Jan
;
Hjorth, J.
;
Manefjord, T.
;
Daneshtalab, Masoud
AIAA/IEEE Digital Avionics Systems Conference - Proceedings,
2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), Virtual Conference, October 11-16, 2020 : Proceedings
2020
/
7 p
https://doi.org/10.1109/DASC50938.2020.9256519
artikkel kogumikus
7
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Cogni-e-SpinDB 1.0 : open dataset of electrospinning parameter configurations and resultant nanofiber morphologies
Mahdian, Mehrab
;
Stummer, Tamas
;
Sepsik, Norman
;
Ender, Ferenc
;
Balogh-Weiser, Diana
;
Pardy, Tamas
techrxiv.org
2025
/
14 p
https://doi.org/10.36227/techrxiv.176462976.65995032/v1
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
8
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Comparative analysis of machine learning techniques for non-intrusive load monitoring
Shabbir, Noman
;
Vassiljeva, Kristina
;
Nourollahi Hokmabad, Hossein
;
Husev, Oleksandr
;
Petlenkov, Eduard
;
Belikov, Juri
Electronics
2024
/
art. 1420 : ill
https://doi.org/10.3390/electronics13081420
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
1
Energy management system for single-cell three-phase energy router in residential applications = Energiahaldussüsteem üheelemendilisele kolmefaasilisele energiaruuterile elamutes
9
artikkel kogumikus EST
/
artikkel kogumikus ENG
Conceptual challenges of researching Artificial Intelligence in public administrations
Noordt, Colin Pascal van
23rd Annual International Conference on Digital Government Research (DGO2022) : Intelligent Technologies, Governments and Citizens, June 15-17, 2022 : proceedings
2022
/
p. 183-190
https://doi.org/10.1145/3543434.3543441
Conference proceedings at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Public value creation with Artificial Intelligence technologies in public administration = Avaliku väärtuse loomine tehisintellekti tehnoloogiatega avalikus halduses
10
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Cross-model consistency of feature importance in electrospinning : separating robust from model-dependent features
Mahdian, Mehrab
;
Ender, Ferenc
;
Pardy, Tamas
arXiv.org
2026
/
6 p. ; art. arXiv:2605.04905
http://doi.org/10.48550/arXiv.2605.04905
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
11
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
A current spectrum-based algorithm for fault detection of electrical machines using low-power data acquisition devices
Asad, Bilal
;
Raja, Hadi Ashraf
;
Vaimann, Toomas
;
Kallaste, Ants
;
Pomarnacki, Raimondas
;
Hyunh, Van Khang
Electronics
2023
/
art. 1746
https://doi.org/10.3390/electronics12071746
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
1
IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks
12
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
DAAG-SNP: energy efficient distance and angulation based agglomerative clustering for sink node placement
Hanif, Maria
;
Ahmad, Rizwan
;
Ahmed, Waqas
;
Drieberg, Micheal
;
Alam, Muhammad Mahtab
IEEE Open Journal of the Communications Society
2024
/
p. 5013-5026
https://doi.org/10.1109/OJCOMS.2024.3421901
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
13
raamat
Databases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings
2020
https://doi.org/10.1007/978-3-030-57672-1
raamat
14
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Data-driven baseline generation for post-retrofit energy saving assessment, a comparison of statistical and machine learning methods
Kuivjõgi, Helena
;
Vasman, Sofia
;
Petlenkov, Eduard
;
Thalfeldt, Martin
;
Kurnitski, Jarek
Journal of building engineering
2024
/
art. 111016
https://doi.org/10.1016/j.jobe.2024.111016
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
15
artikkel kogumikus
Deep reinforcement learning for automated tuning of cavity filters
Sekhri, Even
;
Tamre, Mart
;
Kapoor, Rajiv
Proceedings of ieeeforum International Conference
2019
/
p. 53
http://www.digitalxplore.org/up_proc/pdf/408-154943387153.pdf
artikkel kogumikus
16
artikkel kogumikus
Developing machine learning-based intrusion detection systems for IoT environments
Deng, Zhe
BIR-WS 2025: BIR 2025 Workshops and Doctoral Consortium, 24rd International Conference on Perspectives in Business InformaticsResearch (BIR 2025), September 17-19, 2025, Riga, Latvia : proceedings
2025
/
10 p
https://ceur-ws.org/Vol-4034/paper68.pdf
artikkel kogumikus
17
artikkel ajakirjas
Development and utilization of synthetic signals for fault diagnostics of electrical machines
Raja, Hadi Ashraf
;
Kudelina, Karolina
;
Asad, Bilal
;
Vaimann, Toomas
;
Rassõlkin, Anton
;
Kallaste, Ants
IEEE journal of emerging and selected topics in industrial electronics
2024
/
p. 1447 - 1454
https://doi.org/10.1109/JESTIE.2024.3395650
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas
18
raamat
Digital Economy. Emerging Technologies and Business Innovation : 6th International Conference on Digital Economy, ICDEc 2021, Tallinn, Estonia, July 15–17, 2021 : proceedings
2021
https://doi.org/10.1007/978-3-030-92909-1
raamat
19
artikkel kogumikus
Digital twin simulations based reinforcement learning for navigation and control of a wheel-on-leg mobile robot
Alsaleh, Saleh Ragheb Saleh
;
Tepljakov, Aleksei
;
Tamre, Mart
;
Kuts, Vladimir
;
Petlenkov, Eduard
Proceedings of ASME 2022 International Mechanical Engineering Congress and Exposition (IMECE2022), 2B: Columbus, Ohio, USA, October 30 - November 3, 2022
2022
/
art. IMECE2022-95411, V02BT02A025, 8 p
https://doi.org/10.1115/IMECE2022-95411
artikkel kogumikus
Seotud publikatsioonid
1
Digital twin based computational methods for XR applications = Digitaalkaksikute põhised arvutuslikud meetodid XR rakenduste jaoks
20
artikkel kogumikus EST
/
artikkel kogumikus ENG
Distributed scalable association rule mining over Covid-19 data
Shahin, Mahtab
;
Inoubli, Wissem
;
Shah, Syed Attique
;
Ben Yahia, Sadok
;
Draheim, Dirk
Future Data and Security Engineering : 8th International Conference, FDSE 2021, Virtual Event, November 24–26, 2021 : proceedings
2021
/
p. 39-52
https://doi.org/10.1007/978-3-030-91387-8_3
Conference Proceedings at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Efficient and effective association rule mining on big data and cloud technology : a multifaceted analysis = Tõhus ja efektiivne assotsiatsioonireeglite kaevandamine suurandmetel ja pilvetehnoloogial : mitmekülgne analüüs
21
artikkel kogumikus
Effects of annotation quality on model performance
Alhazmi, Khaled
;
Alsumari, Walaa
;
Seppo, Indrek
;
Podkuiko, Lara
;
Simon, Martin
2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 13-16 April 2021
2021
/
p. 063–067
https://doi.org/10.1109/ICAIIC51459.2021.9415271
artikkel kogumikus
22
artikkel kogumikus EST
/
artikkel kogumikus ENG
Evaluation of data quality in the Estonian National Health Information System for digital decision support
Bertl, Markus
;
Kankainen, Kristian Juha Ismo
;
Piho, Gunnar
;
Draheim, Dirk
;
Ross, Peeter
Proceedings of the 3rd International Health Data Workshop (HEDA 2023) co-located with Software Technologies: Applications and Foundations (STAF 2023) : Leicester, United Kingdom, July 21, 2023. Vol. 3440
2023
/
paper 1, 13 p. : ill
https://ceur-ws.org/Vol-3440/paper1.pdf
Conference proceedings at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik
23
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Evaluation of deep learning-based depression detection using medical claims data
Bertl, Markus
;
Bignoumba, Nzamba
;
Ross, Peeter
;
Ben Yahia, Sadok
;
Draheim, Dirk
Artificial intelligence in medicine
2024
/
art. 102745, 16 p. : ill
https://doi.org/10.1016/j.artmed.2023.102745
Journal metrics at Scopus
Article at Scopus
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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
24
artikkel ajakirjas
Evaluation of deep learning-based depression detection using medical claims data : preprint
Bertl, Markus
;
Bignoumba, Nzamba
;
Ross, Peeter
;
Ben Yahia, Sadok
;
Draheim, Dirk
SSRN
2023
/
p. 1-34 : ill
https://doi.org/10.2139/ssrn.4478987
artikkel ajakirjas
Seotud publikatsioonid
1
Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik
25
artikkel kogumikus
Explainable AI based fault detection and diagnosis system for air handling units
Belikov, Juri
;
Meas, Molika
;
Machlev, Ram
;
Köse, Ahmet
;
Tepljakov, Aleksei
;
Loo, Lauri
;
Petlenkov, Eduard
;
Levron, Yoash
Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - ICINCO, 2022 , Lisbon, Portugal
2022
/
p. 271-279
https://doi.org/10.5220/0011350000003271
artikkel kogumikus
Kirjeid leitud 77, kuvan
1 - 25
eelmine
1
2
3
4
järgmine
võtmesõna
343
1.
machine learning (ML)
2.
adversarial machine learning
3.
adversarial machine-learning
4.
automatic machine learning (autoML)
5.
data analytics and machine learning
6.
explainable machine learning
7.
graph machine learning
8.
interpretable machine learning
9.
machine learning
10.
machine learning algorithms
11.
machine learning applications in power systems
12.
machine learning approach
13.
Machine Learning Explainable model
14.
machine learning for environmental applications
15.
machine learning models
16.
machine learning systems
17.
machine-learning
18.
machine-learning control
19.
machine-learning predictive model
20.
Parkinson’s disease machine learning
21.
probability-informed machine learning
22.
robust machine learning
23.
small data machine learning
24.
Statistical Machine learning
25.
supervised machine learning
26.
unsupervised machine learning
27.
machine-to-machine communications
28.
AI/ML
29.
double ML
30.
Mittag-Leffler (ML) function
31.
ML bias
32.
ML ethics
33.
ML-DSA
34.
AC machine
35.
Algorithmic State Machine - ASM
36.
axial flux machine
37.
axial flux switched reluctance machine
38.
bearingless machine
39.
brushless machine
40.
coordinate measurring machine
41.
electric machine
42.
electric machine analysis computing
43.
electric machine control
44.
electrical machine
45.
electrical machine cooling
46.
electrical machine design
47.
finite state machine
48.
Finite State Machine - FSM
49.
flux switching machine
50.
hierarchical finite state machine
51.
high-frequency machine modeling
52.
human machine interaction
53.
human machine systems
54.
human-machine interaction
55.
human-machine interactions
56.
human-machine interface
57.
human-machine system
58.
induction machine
59.
interior permanent magnet machine
60.
interior permanent-magnet synchronous machine (IPMSM)
61.
logic machine
62.
low-resource machine translation
63.
machine bearings
64.
machine condition monitoring
65.
machine control
66.
machine design
67.
machine elements
68.
machine error
69.
machine housing
70.
machine tools
71.
machine translation
72.
machine vector control
73.
machine windings
74.
machine vision
75.
machine-checked proofs
76.
machine-translation
77.
man-machine systems
78.
massive machine type communication (mMTC)
79.
massive machine-type communication (mMTC)
80.
massive machine-type communication devices (mMTC)
81.
massive machine-type communications (mMTC)
82.
massive Machine-Type connections (mMTC)
83.
multi-class support vector machine (m-SVM)
84.
multi-machine
85.
multi-machine industrial power plant
86.
multi-machine power system
87.
multi-stream interaction machine
88.
neural machine translation
89.
outer-rotor machine
90.
permanent magnet (PM) synchronous machine
91.
permanent magnet flux-switching machine
92.
permanent magnet machine
93.
permanent magnet synchronous machine (PMSM)
94.
reluctance machine
95.
sewing machine operator
96.
spoke-type PM machine
97.
state machine
98.
support vector machine
99.
surface permanent magnet machine (SPM)
100.
switched reluctance machine
101.
switched reluctance machine (SRM)
102.
synchronous machine
103.
TBM (tunnel boring machine)
104.
totally enclosed fan-cooled machine
105.
universal friction machine
106.
virtual synchronous machine
107.
active blended learning
108.
active learning
109.
active learning and engagement
110.
active learning methods
111.
adaptive learning
112.
algorithm controlling the learning process
113.
appetitive associative learning
114.
approach to learning
115.
Artificial Intelligence in learning
116.
Attitude to learning
117.
authoritarian learning
118.
automata learning
119.
bayesian learning
120.
BIM-enabled learning
121.
BIM-enabled learning environment
122.
biophilic learning environments
123.
blended learning
124.
business school as learning organization
125.
business school learning organization questionnaire (BSLOQ)
126.
business school learning rate dependence on GPD
127.
business school learning rate measurement instrument
128.
challenge-based learning
129.
Challenge-Based Learning (CBL)
130.
city-to-city learning
131.
client learning
132.
Collaborative e-learning
133.
collaborative learning
134.
competence based learning
135.
competence learning
136.
competence-based learning
137.
competency based learning
138.
Component organised learning (COL)
139.
computer assisted language learning
140.
computer based learning
141.
computer-assisted language learning (CALL)
142.
context-aware learning system
143.
contrastive learning
144.
cooperative reinforcement learning
145.
coping with online teaching and learning
146.
customer learning
147.
deep learning
148.
deep learning (DL)
149.
deep learning classifier
150.
deep learning method
151.
deep learning methods
152.
deep learning model
153.
deep learning model quantization
154.
deep learning network
155.
deep reinforcement learning
156.
Deep reinforcing learning SDN
157.
Deep-learning
158.
deep-learning (DL)
159.
dictionary learning
160.
digital learning module
161.
digital learning tool design development
162.
digital remote learning
163.
Dimensions of Learning Organisation Questionnaire (DLOQ)
164.
distance learning
165.
distant learning
166.
distributed independent reinforcement learning
167.
double Q-learning
168.
effective teaching and learning
169.
e-learning
170.
e‐learning
171.
e-Learning course
172.
e-Learning database
173.
e-learning environment
174.
electronic learning
175.
embedded deep learning
176.
Emergency remote learning
177.
ensemble learning
178.
enterprising and entrepreneurial learning
179.
entrepreneurial learning
180.
entrepreneurial teaching and learning
181.
ESG-learning
182.
experiential learning
183.
Federated learning
184.
federated learning (FL)
185.
flexible learning
186.
game based learning
187.
game-based learning
188.
Gamified learning
189.
guided in-service learning
190.
hands-on learning
191.
hands-on-learning
192.
history learning
193.
horizontal federated learning
194.
human-centred learning
195.
hybrid learning
196.
Immersive Learning
197.
inclusive learning
198.
incremental learning
199.
inductive learning
200.
inductive learning algorithm
201.
interactive learning objects
202.
interdisciplinary learning
203.
inverse reinforcement learning
204.
investor learning
205.
iterative learning
206.
Kolb’s experiential learning cycle
207.
language learning
208.
Learner-centered learning environment
209.
learning
210.
learning (artificial intelligence)
211.
learning activities
212.
learning adaptation in autonomous vehicles
213.
learning algorithm
214.
learning analysis
215.
learning analytics
216.
learning and experimentation
217.
learning and health outcomes
218.
learning and memory
219.
learning business school
220.
learning by teaching
221.
learning concept
222.
learning content
223.
learning design
224.
learning difficulties
225.
Learning environment
226.
learning experience
227.
learning factory
228.
Learning from Demonstration
229.
learning infrastructures
230.
Learning Lab
231.
learning management
232.
learning management system
233.
learning management systems
234.
learning methodology
235.
learning metrics
236.
learning models
237.
learning motivation
238.
learning objectives
239.
learning objects
240.
learning organization
241.
learning orientation
242.
learning outcomes
243.
learning process
244.
learning processes
245.
learning rate
246.
learning rate dependence on ownership form
247.
learning rate of organization
248.
learning region
249.
learning situation
250.
learning software agents
251.
learning styles
252.
learning systems
253.
learning technologies
254.
learning theories
255.
learning through the questionnaires
256.
learning university
257.
learning-to-rank
258.
lifelong learning
259.
long-short term learning
260.
mathematics students learning habits
261.
Meaningful learning
262.
measuring learning
263.
mobile learning
264.
model learning
265.
Multi-agent deep reinforcement learning
266.
Multi-agent reinforcement learning
267.
multi-task learning
268.
mutual learning
269.
new learning models
270.
node embedding learning
271.
NREN e-learning
272.
on-device transfer learning
273.
online distance learning
274.
online learning
275.
ontologies for learning systems
276.
ontology learning
277.
Open Learning Resources (OLR)
278.
organisational learning
279.
organizational learning
280.
organizational learning measurement instruments
281.
organizational learning rate dependence on management
282.
organizational learning rate measurement
283.
outcome oriented learning
284.
peer‐to‐peer learning group
285.
personalised learning
286.
personalized learning
287.
policy learning
288.
problem-based learning
289.
Problem-based learning (PBL)
290.
project learning
291.
project-based learning
292.
Q-learning
293.
Q-learning algorithm
294.
query learning
295.
regional learning
296.
reinforcement learning
297.
Reinforcement Learning (RL)
298.
relative learning performance
299.
Remote learning
300.
research-oriented learning
301.
reusable learning objects
302.
scholarship of teaching and learning
303.
self learning software
304.
self learning system
305.
self-learning
306.
self-regulated learning
307.
semi-supervised learning
308.
sequence of learning activities
309.
sequence to sequence learning
310.
sequential learning
311.
SIS problem, learning with errors
312.
smart learning
313.
smart learning environment
314.
social learning
315.
socio-emotional learning
316.
stochastic learning theory
317.
student centred learning
318.
supervised contrastive learning
319.
supervised learning
320.
supervised learning data
321.
synchronous hybrid learning
322.
zero-shot learning
323.
task based learning
324.
team learning
325.
Technological learning
326.
technology-enhanced learning
327.
the dimensions of the learning organisation
328.
the dimensions of the learning organization questionnaire (DLOQ)
329.
tools for interactive learning and teaching
330.
trans-disciplinary social-learning
331.
transfer learning
332.
true online reinforcement learning
333.
ubiquitous learning
334.
unsupervised learning
335.
urban learning center
336.
value of learning
337.
web and computerbased learning
338.
Web and computer-based learning
339.
virtual collaborative learning environment (VCLE)
340.
virtual learning environment
341.
virtual learning factory
342.
work-based learning
343.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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