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1
journal article EST
/
journal article 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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
2
journal article EST
/
journal article 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
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
3
book article
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
book article
4
book
Bioinspired Designs for Additive Manufacturing in Advanced Engineering Applications : Special Issue
2024
https://www.mdpi.com/journal/biomimetics/special_issues/0K2292JW30
book
5
book article
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
book article
6
book article
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
book article
7
journal article EST
/
journal article 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
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
8
journal article EST
/
journal article 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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Energy management system for single-cell three-phase energy router in residential applications = Energiahaldussüsteem üheelemendilisele kolmefaasilisele energiaruuterile elamutes
9
book article EST
/
book article 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
book article EST
/
book article ENG
Related publications
1
Public value creation with Artificial Intelligence technologies in public administration = Avaliku väärtuse loomine tehisintellekti tehnoloogiatega avalikus halduses
10
journal article EST
/
journal article 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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks
11
journal article EST
/
journal article 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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
12
book
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
book
13
journal article EST
/
journal article 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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
14
book article
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
book article
15
book article
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
book article
16
journal article
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
Journal metrics at WOS
Article at WOS
journal article
17
book
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
book
18
book article
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
book article
Related publications
1
Digital twin based computational methods for XR applications = Digitaalkaksikute põhised arvutuslikud meetodid XR rakenduste jaoks
19
book article EST
/
book article 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
book article EST
/
book article ENG
Related publications
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
20
book article
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
book article
21
book article EST
/
book article 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
book article EST
/
book article ENG
Related publications
1
Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik
22
journal article EST
/
journal article 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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
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
23
journal article
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
journal article
Related publications
1
Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik
24
book article
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
book article
25
book article
Exploring the Impact of Feature Selection on Non-Stationary Intrusion Detection Models in IoT Networks
Rehman, Muaan Ur
;
Bahsi, Hayretdin
;
Kalakoti, Rajesh
2025 22nd Annual International Conference on Privacy, Security, and Trust (PST) : Fredericton, NB, Canada, 2025 : conference proceedings
2025
/
10 p
https://doi.org//10.1109/PST65910.2025.11268886
book article
Related publications
1
Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
Number of records 76, displaying
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337
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 predictive model
19.
Parkinson’s disease machine learning
20.
probability-informed machine learning
21.
robust machine learning
22.
small data machine learning
23.
supervised machine learning
24.
unsupervised machine learning
25.
machine-to-machine communications
26.
AI/ML
27.
double ML
28.
Mittag-Leffler (ML) function
29.
ML bias
30.
ML ethics
31.
ML-DSA
32.
AC machine
33.
Algorithmic State Machine - ASM
34.
axial flux machine
35.
axial flux switched reluctance machine
36.
bearingless machine
37.
brushless machine
38.
coordinate measurring machine
39.
electric machine
40.
electric machine analysis computing
41.
electric machine control
42.
electrical machine
43.
electrical machine cooling
44.
electrical machine design
45.
finite state machine
46.
Finite State Machine - FSM
47.
flux switching machine
48.
hierarchical finite state machine
49.
high-frequency machine modeling
50.
human machine interaction
51.
human machine systems
52.
human-machine interaction
53.
human-machine interactions
54.
human-machine interface
55.
human-machine system
56.
induction machine
57.
interior permanent magnet machine
58.
interior permanent-magnet synchronous machine (IPMSM)
59.
logic machine
60.
low-resource machine translation
61.
machine bearings
62.
machine condition monitoring
63.
machine control
64.
machine design
65.
machine elements
66.
machine error
67.
machine housing
68.
machine tools
69.
machine translation
70.
machine vector control
71.
machine windings
72.
machine vision
73.
machine-checked proofs
74.
machine-translation
75.
man-machine systems
76.
massive machine type communication (mMTC)
77.
massive machine-type communication (mMTC)
78.
massive machine-type communication devices (mMTC)
79.
massive machine-type communications (mMTC)
80.
massive Machine-Type connections (mMTC)
81.
multi-class support vector machine (m-SVM)
82.
multi-machine
83.
multi-machine industrial power plant
84.
multi-machine power system
85.
multi-stream interaction machine
86.
neural machine translation
87.
outer-rotor machine
88.
permanent magnet (PM) synchronous machine
89.
permanent magnet flux-switching machine
90.
permanent magnet machine
91.
permanent magnet synchronous machine (PMSM)
92.
reluctance machine
93.
sewing machine operator
94.
spoke-type PM machine
95.
state machine
96.
support vector machine
97.
surface permanent magnet machine (SPM)
98.
switched reluctance machine
99.
switched reluctance machine (SRM)
100.
synchronous machine
101.
TBM (tunnel boring machine)
102.
totally enclosed fan-cooled machine
103.
universal friction machine
104.
virtual synchronous machine
105.
active blended learning
106.
active learning
107.
active learning and engagement
108.
active learning methods
109.
adaptive learning
110.
algorithm controlling the learning process
111.
appetitive associative learning
112.
approach to learning
113.
Artificial Intelligence in learning
114.
Attitude to learning
115.
authoritarian learning
116.
automata learning
117.
bayesian learning
118.
BIM-enabled learning
119.
BIM-enabled learning environment
120.
biophilic learning environments
121.
blended learning
122.
business school as learning organization
123.
business school learning organization questionnaire (BSLOQ)
124.
business school learning rate dependence on GPD
125.
business school learning rate measurement instrument
126.
challenge-based learning
127.
Challenge-Based Learning (CBL)
128.
city-to-city learning
129.
client learning
130.
Collaborative e-learning
131.
collaborative learning
132.
competence based learning
133.
competence learning
134.
competence-based learning
135.
competency based learning
136.
Component organised learning (COL)
137.
computer assisted language learning
138.
computer based learning
139.
computer-assisted language learning (CALL)
140.
contrastive learning
141.
cooperative reinforcement learning
142.
coping with online teaching and learning
143.
customer learning
144.
deep learning
145.
deep learning (DL)
146.
deep learning classifier
147.
deep learning method
148.
deep learning methods
149.
deep learning model
150.
deep learning model quantization
151.
deep learning network
152.
deep reinforcement learning
153.
Deep reinforcing learning SDN
154.
Deep-learning
155.
deep-learning (DL)
156.
dictionary learning
157.
digital learning module
158.
digital remote learning
159.
Dimensions of Learning Organisation Questionnaire (DLOQ)
160.
distance learning
161.
distant learning
162.
distributed independent reinforcement learning
163.
double Q-learning
164.
effective teaching and learning
165.
e-learning
166.
e‐learning
167.
e-Learning course
168.
e-Learning database
169.
e-learning environment
170.
electronic learning
171.
embedded deep learning
172.
Emergency remote learning
173.
ensemble learning
174.
enterprising and entrepreneurial learning
175.
entrepreneurial learning
176.
entrepreneurial teaching and learning
177.
ESG-learning
178.
experiential learning
179.
Federated learning
180.
federated learning (FL)
181.
flexible learning
182.
game based learning
183.
game-based learning
184.
Gamified learning
185.
guided in-service learning
186.
hands-on-learning
187.
history learning
188.
horizontal federated learning
189.
human-centred learning
190.
hybrid learning
191.
Immersive Learning
192.
inclusive learning
193.
incremental learning
194.
inductive learning
195.
inductive learning algorithm
196.
interactive learning objects
197.
interdisciplinary learning
198.
inverse reinforcement learning
199.
investor learning
200.
iterative learning
201.
Kolb’s experiential learning cycle
202.
language learning
203.
Learner-centered learning environment
204.
learning
205.
learning (artificial intelligence)
206.
learning activities
207.
learning adaptation in autonomous vehicles
208.
learning algorithm
209.
learning analysis
210.
learning analytics
211.
learning and experimentation
212.
learning and health outcomes
213.
learning and memory
214.
learning business school
215.
learning by teaching
216.
learning concept
217.
learning content
218.
learning design
219.
learning difficulties
220.
Learning environment
221.
learning experience
222.
learning factory
223.
Learning from Demonstration
224.
learning infrastructures
225.
Learning Lab
226.
learning management
227.
learning management system
228.
learning management systems
229.
learning methodology
230.
learning metrics
231.
learning models
232.
learning motivation
233.
learning objectives
234.
learning objects
235.
learning organization
236.
learning orientation
237.
learning outcomes
238.
learning process
239.
learning processes
240.
learning rate
241.
learning rate dependence on ownership form
242.
learning rate of organization
243.
learning region
244.
learning situation
245.
learning software agents
246.
learning styles
247.
learning systems
248.
learning technologies
249.
learning theories
250.
learning through the questionnaires
251.
learning university
252.
learning-to-rank
253.
lifelong learning
254.
long-short term learning
255.
mathematics students learning habits
256.
Meaningful learning
257.
measuring learning
258.
mobile learning
259.
model learning
260.
Multi-agent deep reinforcement learning
261.
Multi-agent reinforcement learning
262.
multi-task learning
263.
mutual learning
264.
new learning models
265.
node embedding learning
266.
NREN e-learning
267.
on-device transfer learning
268.
online learning
269.
ontologies for learning systems
270.
ontology learning
271.
Open Learning Resources (OLR)
272.
organisational learning
273.
organizational learning
274.
organizational learning measurement instruments
275.
organizational learning rate dependence on management
276.
organizational learning rate measurement
277.
outcome oriented learning
278.
peer‐to‐peer learning group
279.
personalised learning
280.
personalized learning
281.
policy learning
282.
problem-based learning
283.
Problem-based learning (PBL)
284.
project learning
285.
project-based learning
286.
Q-learning
287.
Q-learning algorithm
288.
query learning
289.
regional learning
290.
reinforcement learning
291.
Reinforcement Learning (RL)
292.
relative learning performance
293.
Remote learning
294.
research-oriented learning
295.
reusable learning objects
296.
scholarship of teaching and learning
297.
self learning software
298.
self learning system
299.
self-learning
300.
self-regulated learning
301.
semi-supervised learning
302.
sequence of learning activities
303.
sequence to sequence learning
304.
sequential learning
305.
SIS problem, learning with errors
306.
smart learning
307.
smart learning environment
308.
social learning
309.
socio-emotional learning
310.
stochastic learning theory
311.
student centred learning
312.
supervised contrastive learning
313.
supervised learning
314.
supervised learning data
315.
synchronous hybrid learning
316.
zero-shot learning
317.
task based learning
318.
team learning
319.
Technological learning
320.
technology-enhanced learning
321.
the dimensions of the learning organisation
322.
the dimensions of the learning organization questionnaire (DLOQ)
323.
tools for interactive learning and teaching
324.
trans-disciplinary social-learning
325.
transfer learning
326.
true online reinforcement learning
327.
ubiquitous learning
328.
unsupervised learning
329.
urban learning center
330.
value of learning
331.
web and computerbased learning
332.
Web and computer-based learning
333.
virtual collaborative learning environment (VCLE)
334.
virtual learning environment
335.
virtual learning factory
336.
work-based learning
337.
workplace learning
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1
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ELIXIR Machine Learning Focus Group
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UNDP Urban Learning Center
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