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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
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
Comparative analysis of machine learning techniques for non-intrusive load monitoring
Shabbir, Noman
;
Vassiljeva, Kristina
;
Hokmabad, Hossein Nourollahi
;
Husev, Oleksandr
;
Petlenkov, Eduard
;
Belikov, Juri
Electronics
2024
/
art. 1420 : ill
https://doi.org/10.3390/electronics13081420
Journal metrics at Scopus
Article at Scopus
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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
8
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
9
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
10
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
11
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
12
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
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Article at WOS
journal article EST
/
journal article ENG
13
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
14
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
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Article at WOS
journal article
15
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
16
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
17
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
18
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
19
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
20
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
21
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
22
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
23
journal article EST
/
journal article ENG
FedBranched : leveraging federated learning for anomaly-aware load forecasting in energy networks
Manzoor, Habib Ullah
;
Khan, Ahsan Raza
;
Flynn, David
;
Alam, Muhammad Mahtab
;
Akram, Muhammad
;
Imran, Muhammad Ali
;
Zoha, Ahmed
Sensors
2023
/
art. 3570
https://doi.org/10.3390/s23073570
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
24
journal article EST
/
journal article ENG
Forecasting Corona Losses on High Voltage Transmission Lines Using Machine Learning
Gupta, Pradeep Kumar
;
Tuttelberg, Kaur
;
Kilter, Jako
IEEE transactions on power delivery
2025
/
p. 2696-2705
https://doi.org/10.1109/TPWRD.2025.3593923
journal article EST
/
journal article ENG
25
book article EST
/
book article ENG
From sensors to Dempster-Shafer theory and back : the axiom of ambiguous sensor correctness and its applications
Draheim, Dirk
;
Tammet, Tanel
Database and Expert Systems Applications : 31st International Conference, DEXA 2020, Bratislava, Slovakia, September 14–17, 2020 : Proceedings, Part I
2020
/
p. 3-19
https://doi.org/10.1007/978-3-030-59003-1_1
Conference proceedings at Scopus
Article at Scopus
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Article at WOS
book article EST
/
book article ENG
Number of records 65, displaying
1 - 25
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keyword
325
1.
machine learning (ML)
2.
adversarial machine learning
3.
adversarial machine-learning
4.
automatic machine learning (autoML)
5.
data analytics and machine learning
6.
graph machine learning
7.
interpretable machine learning
8.
machine learning
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.
AI/ML
24.
double ML
25.
Mittag-Leffler (ML) function
26.
ML bias
27.
ML ethics
28.
ML-DSA
29.
AC machine
30.
Algorithmic State Machine - ASM
31.
axial flux machine
32.
axial flux switched reluctance machine
33.
bearingless machine
34.
brushless machine
35.
coordinate measurring machine
36.
electric machine
37.
electric machine analysis computing
38.
electric machine control
39.
electrical machine
40.
electrical machine cooling
41.
electrical machine design
42.
finite state machine
43.
Finite State Machine - FSM
44.
hierarchical finite state machine
45.
high-frequency machine modeling
46.
human machine interaction
47.
human machine systems
48.
human-machine interaction
49.
human-machine interactions
50.
human-machine interface
51.
human-machine system
52.
induction machine
53.
interior permanent magnet machine
54.
interior permanent-magnet synchronous machine (IPMSM)
55.
logic machine
56.
low-resource machine translation
57.
machine bearings
58.
machine condition monitoring
59.
machine control
60.
machine design
61.
machine elements
62.
machine error
63.
machine housing
64.
machine tools
65.
machine translation
66.
machine vector control
67.
machine windings
68.
machine vision
69.
machine-checked proofs
70.
machine-translation
71.
man-machine systems
72.
massive machine type communication (mMTC)
73.
massive machine-type communication (mMTC)
74.
massive machine-type communications (mMTC)
75.
massive Machine-Type connections (mMTC)
76.
multi-class support vector machine (m-SVM)
77.
multi-machine
78.
multi-machine industrial power plant
79.
multi-machine power system
80.
multi-stream interaction machine
81.
neural machine translation
82.
outer-rotor machine
83.
permanent magnet (PM) synchronous machine
84.
permanent magnet flux-switching machine
85.
permanent magnet machine
86.
permanent magnet synchronous machine (PMSM)
87.
reluctance machine
88.
sewing machine operator
89.
spoke-type PM machine
90.
state machine
91.
support vector machine
92.
surface permanent magnet machine (SPM)
93.
switched reluctance machine
94.
switched reluctance machine (SRM)
95.
synchronous machine
96.
TBM (tunnel boring machine)
97.
totally enclosed fan-cooled machine
98.
universal friction machine
99.
virtual synchronous machine
100.
active blended learning
101.
active learning
102.
active learning and engagement
103.
active learning methods
104.
adaptive learning
105.
algorithm controlling the learning process
106.
appetitive associative learning
107.
approach to learning
108.
Attitude to learning
109.
authoritarian learning
110.
automata learning
111.
bayesian learning
112.
BIM-enabled learning
113.
BIM-enabled learning environment
114.
biophilic learning environments
115.
blended learning
116.
business school as learning organization
117.
business school learning organization questionnaire (BSLOQ)
118.
business school learning rate dependence on GPD
119.
business school learning rate measurement instrument
120.
challenge-based learning
121.
Challenge-Based Learning (CBL)
122.
client learning
123.
Collaborative e-learning
124.
collaborative learning
125.
competence based learning
126.
competence learning
127.
competence-based learning
128.
competency based learning
129.
Component organised learning (COL)
130.
computer assisted language learning
131.
computer based learning
132.
computer-assisted language learning (CALL)
133.
contrastive learning
134.
cooperative reinforcement learning
135.
coping with online teaching and learning
136.
customer learning
137.
deep learning
138.
deep learning (DL)
139.
deep learning classifier
140.
deep learning method
141.
deep learning methods
142.
deep learning model
143.
deep learning model quantization
144.
deep learning network
145.
deep reinforcement learning
146.
Deep reinforcing learning SDN
147.
Deep-learning
148.
deep-learning (DL)
149.
dictionary learning
150.
digital learning module
151.
digital remote learning
152.
Dimensions of Learning Organisation Questionnaire (DLOQ)
153.
distance learning
154.
distant learning
155.
distributed independent reinforcement learning
156.
double Q-learning
157.
effective teaching and learning
158.
e-learning
159.
e‐learning
160.
e-Learning course
161.
e-Learning database
162.
e-learning environment
163.
electronic learning
164.
embedded deep learning
165.
Emergency remote learning
166.
ensemble learning
167.
enterprising and entrepreneurial learning
168.
entrepreneurial learning
169.
entrepreneurial teaching and learning
170.
ESG-learning
171.
experiential learning
172.
Federated learning
173.
federated learning (FL)
174.
flexible learning
175.
game based learning
176.
game-based learning
177.
guided in-service learning
178.
hands-on-learning
179.
history learning
180.
horizontal federated learning
181.
human-centred learning
182.
hybrid learning
183.
Immersive Learning
184.
incremental learning
185.
inductive learning
186.
inductive learning algorithm
187.
interactive learning objects
188.
interdisciplinary learning
189.
inverse reinforcement learning
190.
investor learning
191.
iterative learning
192.
Kolb’s experiential learning cycle
193.
language learning
194.
Learner-centered learning environment
195.
learning
196.
learning (artificial intelligence)
197.
learning activities
198.
learning adaptation in autonomous vehicles
199.
learning algorithm
200.
learning analysis
201.
learning analytics
202.
learning and experimentation
203.
learning and health outcomes
204.
learning and memory
205.
learning business school
206.
learning by teaching
207.
learning concept
208.
learning content
209.
learning design
210.
learning difficulties
211.
Learning environment
212.
learning experience
213.
learning factory
214.
Learning from Demonstration
215.
learning infrastructures
216.
Learning Lab
217.
learning management
218.
learning management system
219.
learning management systems
220.
learning methodology
221.
learning metrics
222.
learning models
223.
learning motivation
224.
learning objectives
225.
learning objects
226.
learning organization
227.
learning orientation
228.
learning outcomes
229.
learning process
230.
learning processes
231.
learning rate
232.
learning rate dependence on ownership form
233.
learning rate of organization
234.
learning region
235.
learning situation
236.
learning software agents
237.
learning styles
238.
learning systems
239.
learning technologies
240.
learning theories
241.
learning through the questionnaires
242.
learning university
243.
learning-to-rank
244.
lifelong learning
245.
long-short term learning
246.
mathematics students learning habits
247.
Meaningful learning
248.
measuring learning
249.
mobile learning
250.
model learning
251.
Multi-agent reinforcement learning
252.
multi-task learning
253.
mutual learning
254.
new learning models
255.
node embedding learning
256.
NREN e-learning
257.
on-device transfer learning
258.
online learning
259.
ontologies for learning systems
260.
ontology learning
261.
Open Learning Resources (OLR)
262.
organisational learning
263.
organizational learning
264.
organizational learning measurement instruments
265.
organizational learning rate dependence on management
266.
organizational learning rate measurement
267.
outcome oriented learning
268.
peer‐to‐peer learning group
269.
personalised learning
270.
Personalized learning
271.
policy learning
272.
problem-based learning
273.
Problem-based learning (PBL)
274.
project learning
275.
project-based learning
276.
Q-learning
277.
Q-learning algorithm
278.
query learning
279.
regional learning
280.
reinforcement learning
281.
Reinforcement Learning (RL)
282.
relative learning performance
283.
Remote learning
284.
research-oriented learning
285.
reusable learning objects
286.
scholarship of teaching and learning
287.
self learning software
288.
self learning system
289.
self-learning
290.
self-regulated learning
291.
semi-supervised learning
292.
sequence of learning activities
293.
SIS problem, learning with errors
294.
smart learning
295.
smart learning environment
296.
social learning
297.
socio-emotional learning
298.
stochastic learning theory
299.
student centred learning
300.
supervised contrastive learning
301.
supervised learning
302.
supervised learning data
303.
synchronous hybrid learning
304.
zero-shot learning
305.
task based learning
306.
team learning
307.
Technological learning
308.
technology-enhanced learning
309.
the dimensions of the learning organisation
310.
the dimensions of the learning organization questionnaire (DLOQ)
311.
tools for interactive learning and teaching
312.
trans-disciplinary social-learning
313.
transfer learning
314.
true online reinforcement learning
315.
ubiquitous learning
316.
unsupervised learning
317.
urban learning center
318.
value of learning
319.
web and computerbased learning
320.
Web and computer-based learning
321.
virtual collaborative learning environment (VCLE)
322.
virtual learning environment
323.
virtual learning factory
324.
work-based learning
325.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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AND
OR
NOT
subject term
AND
OR
NOT
series
AND
OR
NOT
name of the person
AND
OR
NOT
keyword
AND
OR
NOT