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1
journal article
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 article
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
Biomimetics
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
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
https://doi.org/10.3390/electronics13081420
journal article
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
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 article
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
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 article
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
/
9 p
https://doi.org/10.1109/JESTIE.2024.3395650
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
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 article
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
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
Conference proceedings at WOS
Article at WOS
book article EST
/
book article ENG
25
journal article
Machine learning assisted design of high-entropy alloys with ultra-high microhardness and unexpected low density
Zhao, Shunli
;
Jiang, Bin
;
Song, Kaikai
;
Liu, Xiaoming
;
Wang, Wenyu
;
Si, Dekun
;
Zhang, Jilei
;
Chen, Xiangyan
;
Zhou, Changshan
;
Liu, Pingping
;
Chen, Dong
;
Zhang, Zequn
;
Ramasamy, Parthiban
;
Tang, Junlei
;
Lv, Wenquan
;
Prashanth, Konda Gokuldoss
;
Sopu, Daniel
;
Eckert, Jurgen
Materials & design
2024
/
art. 112634
https://doi.org/10.1016/j.matdes.2024.112634
journal article
Number of records 59, displaying
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305
1.
machine learning (ML)
2.
adversarial machine learning
3.
adversarial machine-learning
4.
automatic machine learning (autoML)
5.
graph machine learning
6.
interpretable machine learning
7.
machine learning
8.
machine learning algorithms
9.
machine learning approach
10.
Machine Learning Explainable model
11.
machine learning for environmental applications
12.
machine learning models
13.
machine learning systems
14.
machine-learning
15.
machine-learning predictive model
16.
Parkinson’s disease machine learning
17.
robust machine learning
18.
small data machine learning
19.
supervised machine learning
20.
unsupervised machine learning
21.
machine-to-machine communications
22.
AI/ML
23.
double ML
24.
Mittag-Leffler (ML) function
25.
ML bias
26.
ML ethics
27.
ML-DSA
28.
AC machine
29.
Algorithmic State Machine - ASM
30.
axial flux machine
31.
axial flux switched reluctance machine
32.
bearingless machine
33.
brushless machine
34.
coordinate measurring machine
35.
electric machine
36.
electric machine analysis computing
37.
electric machine control
38.
electrical machine
39.
electrical machine cooling
40.
electrical machine design
41.
finite state machine
42.
Finite State Machine - FSM
43.
hierarchical finite state machine
44.
human machine interaction
45.
human machine systems
46.
human-machine interaction
47.
human-machine interactions
48.
human-machine interface
49.
human-machine system
50.
induction machine
51.
interior permanent magnet machine
52.
interior permanent-magnet synchronous machine (IPMSM)
53.
low-resource machine translation
54.
machine bearings
55.
machine condition monitoring
56.
machine control
57.
machine design
58.
machine elements
59.
machine error
60.
machine housing
61.
machine tools
62.
machine translation
63.
machine vector control
64.
machine windings
65.
machine vision
66.
machine-checked proofs
67.
machine-translation
68.
man-machine systems
69.
massive machine type communication (mMTC)
70.
massive machine-type communication (mMTC)
71.
massive machine-type communications (mMTC)
72.
massive Machine-Type connections (mMTC)
73.
multi-class support vector machine (m-SVM)
74.
multi-machine
75.
multi-machine industrial power plant
76.
multi-machine power system
77.
multi-stream interaction machine
78.
neural machine translation
79.
outer-rotor machine
80.
permanent magnet (PM) synchronous machine
81.
permanent magnet flux-switching machine
82.
permanent magnet machine
83.
permanent magnet synchronous machine (PMSM)
84.
reluctance machine
85.
sewing machine operator
86.
state machine
87.
support vector machine
88.
surface permanent magnet machine (SPM)
89.
switched reluctance machine
90.
switched reluctance machine (SRM)
91.
synchronous machine
92.
TBM (tunnel boring machine)
93.
totally enclosed fan-cooled machine
94.
universal friction machine
95.
virtual synchronous machine
96.
active blended learning
97.
active learning
98.
active learning methods
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.
blended learning
109.
business school as learning organization
110.
business school learning organization questionnaire (BSLOQ)
111.
business school learning rate dependence on GPD
112.
business school learning rate measurement instrument
113.
challenge-based learning
114.
client learning
115.
Collaborative e-learning
116.
collaborative learning
117.
competence based learning
118.
competence learning
119.
competence-based learning
120.
competency based learning
121.
Component organised learning (COL)
122.
computer assisted language learning
123.
computer based learning
124.
computer-assisted language learning (CALL)
125.
cooperative reinforcement learning
126.
coping with online teaching and learning
127.
customer learning
128.
deep learning
129.
deep learning (DL)
130.
deep learning classifier
131.
deep learning method
132.
deep learning methods
133.
deep learning model
134.
deep learning model quantization
135.
deep learning network
136.
deep reinforcement learning
137.
Deep reinforcing learning SDN
138.
Deep-learning
139.
deep-learning (DL)
140.
dictionary learning
141.
digital learning module
142.
digital remote learning
143.
Dimensions of Learning Organisation Questionnaire (DLOQ)
144.
distance learning
145.
distant learning
146.
distributed independent reinforcement learning
147.
double Q-learning
148.
effective teaching and learning
149.
e-learning
150.
e‐learning
151.
e-Learning course
152.
e-Learning database
153.
e-learning environment
154.
electronic learning
155.
embedded deep learning
156.
Emergency remote learning
157.
ensemble learning
158.
enterprising and entrepreneurial learning
159.
entrepreneurial learning
160.
entrepreneurial teaching and learning
161.
ESG-learning
162.
experiential learning
163.
Federated learning
164.
federated learning (FL)
165.
flexible learning
166.
game based learning
167.
game-based learning
168.
guided in-service learning
169.
hands-on-learning
170.
history learning
171.
horizontal federated learning
172.
hybrid learning
173.
incremental learning
174.
inductive learning
175.
inductive learning algorithm
176.
interactive learning objects
177.
interdisciplinary learning
178.
inverse reinforcement learning
179.
investor learning
180.
iterative learning
181.
Kolb’s experiential learning cycle
182.
language learning
183.
Learner-centered learning environment
184.
learning
185.
learning (artificial intelligence)
186.
learning activities
187.
learning adaptation in autonomous vehicles
188.
learning algorithm
189.
learning analysis
190.
learning analytics
191.
learning and experimentation
192.
learning and health outcomes
193.
learning and memory
194.
learning business school
195.
learning by teaching
196.
learning concept
197.
learning design
198.
learning difficulties
199.
Learning environment
200.
learning experience
201.
Learning from Demonstration
202.
learning infrastructures
203.
Learning Lab
204.
learning management
205.
learning management system
206.
learning management systems
207.
learning methodology
208.
learning metrics
209.
learning models
210.
learning motivation
211.
learning objectives
212.
learning objects
213.
learning organization
214.
learning orientation
215.
learning outcomes
216.
learning process
217.
learning processes
218.
learning rate
219.
learning rate dependence on ownership form
220.
learning rate of organization
221.
learning region
222.
learning situation
223.
learning software agents
224.
learning styles
225.
learning systems
226.
learning technologies
227.
learning theories
228.
learning through the questionnaires
229.
learning university
230.
learning-to-rank
231.
lifelong learning
232.
mathematics students learning habits
233.
Meaningful learning
234.
measuring learning
235.
mobile learning
236.
model learning
237.
Multi-agent reinforcement learning
238.
multi-task learning
239.
mutual learning
240.
new learning models
241.
node embedding learning
242.
NREN e-learning
243.
on-device transfer learning
244.
online learning
245.
ontologies for learning systems
246.
ontology learning
247.
Open Learning Resources (OLR)
248.
organisational learning
249.
organizational learning
250.
organizational learning measurement instruments
251.
organizational learning rate dependence on management
252.
organizational learning rate measurement
253.
outcome oriented learning
254.
peer‐to‐peer learning group
255.
personalised learning
256.
policy learning
257.
problem-based learning
258.
Problem-based learning (PBL)
259.
project learning
260.
project-based learning
261.
Q-learning
262.
Q-learning algorithm
263.
query learning
264.
regional learning
265.
reinforcement learning
266.
Reinforcement Learning (RL)
267.
relative learning performance
268.
Remote learning
269.
research-oriented learning
270.
reusable learning objects
271.
scholarship of teaching and learning
272.
self learning software
273.
self learning system
274.
self-learning
275.
self-regulated learning
276.
semi-supervised learning
277.
smart learning
278.
smart learning environment
279.
social learning
280.
stochastic learning theory
281.
student centred learning
282.
supervised learning
283.
supervised learning data
284.
zero-shot learning
285.
task based learning
286.
team learning
287.
Technological learning
288.
technology-enhanced learning
289.
the dimensions of the learning organisation
290.
the dimensions of the learning organization questionnaire (DLOQ)
291.
tools for interactive learning and teaching
292.
trans-disciplinary social-learning
293.
transfer learning
294.
true online reinforcement learning
295.
ubiquitous learning
296.
unsupervised learning
297.
urban learning center
298.
value of learning
299.
web and computerbased learning
300.
Web and computer-based learning
301.
virtual collaborative learning environment (VCLE)
302.
virtual learning environment
303.
virtual learning factory
304.
work-based learning
305.
workplace learning
author
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ELIXIR Machine Learning Focus Group
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1.
UNDP Urban Learning Center
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