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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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301
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.
machine bearings
54.
machine condition monitoring
55.
machine control
56.
machine design
57.
machine elements
58.
machine error
59.
machine housing
60.
machine tools
61.
machine vector control
62.
machine windings
63.
machine vision
64.
machine-checked proofs
65.
machine-translation
66.
man-machine systems
67.
massive machine type communication (mMTC)
68.
massive machine-type communication (mMTC)
69.
massive machine-type communications (mMTC)
70.
massive Machine-Type connections (mMTC)
71.
multi-class support vector machine (m-SVM)
72.
multi-machine
73.
multi-machine industrial power plant
74.
multi-machine power system
75.
multi-stream interaction machine
76.
neural machine translation
77.
outer-rotor machine
78.
permanent magnet (PM) synchronous machine
79.
permanent magnet flux-switching machine
80.
permanent magnet machine
81.
permanent magnet synchronous machine (PMSM)
82.
reluctance machine
83.
sewing machine operator
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 methods
97.
algorithm controlling the learning process
98.
appetitive associative learning
99.
approach to learning
100.
Attitude to learning
101.
authoritarian learning
102.
automata learning
103.
bayesian learning
104.
BIM-enabled learning
105.
BIM-enabled learning environment
106.
blended learning
107.
business school as learning organization
108.
business school learning organization questionnaire (BSLOQ)
109.
business school learning rate dependence on GPD
110.
business school learning rate measurement instrument
111.
challenge-based learning
112.
client learning
113.
Collaborative e-learning
114.
collaborative learning
115.
competence based learning
116.
competence learning
117.
competence-based learning
118.
competency based learning
119.
Component organised learning (COL)
120.
computer assisted language learning
121.
computer based learning
122.
computer-assisted language learning (CALL)
123.
cooperative reinforcement learning
124.
coping with online teaching and learning
125.
customer learning
126.
deep learning
127.
deep learning (DL)
128.
deep learning classifier
129.
deep learning method
130.
deep learning model
131.
deep learning model quantization
132.
deep learning network
133.
deep reinforcement learning
134.
Deep reinforcing learning SDN
135.
Deep-learning
136.
deep-learning (DL)
137.
dictionary learning
138.
digital learning module
139.
digital remote learning
140.
Dimensions of Learning Organisation Questionnaire (DLOQ)
141.
distance learning
142.
distant learning
143.
distributed independent reinforcement learning
144.
double Q-learning
145.
effective teaching and learning
146.
e-learning
147.
e‐learning
148.
e-Learning course
149.
e-Learning database
150.
e-learning environment
151.
electronic learning
152.
embedded deep learning
153.
Emergency remote learning
154.
ensemble learning
155.
enterprising and entrepreneurial learning
156.
entrepreneurial learning
157.
entrepreneurial teaching and learning
158.
ESG-learning
159.
experiential learning
160.
Federated learning
161.
federated learning (FL)
162.
flexible learning
163.
game based learning
164.
game-based learning
165.
guided in-service learning
166.
hands-on-learning
167.
history learning
168.
horizontal federated learning
169.
hybrid learning
170.
incremental learning
171.
inductive learning
172.
inductive learning algorithm
173.
interactive learning objects
174.
interdisciplinary learning
175.
inverse reinforcement learning
176.
investor learning
177.
iterative learning
178.
Kolb’s experiential learning cycle
179.
language learning
180.
Learner-centered learning environment
181.
learning
182.
learning (artificial intelligence)
183.
learning activities
184.
learning adaptation in autonomous vehicles
185.
learning algorithm
186.
learning analysis
187.
learning analytics
188.
learning and experimentation
189.
learning and health outcomes
190.
learning and memory
191.
learning business school
192.
learning by teaching
193.
learning concept
194.
learning design
195.
learning difficulties
196.
Learning environment
197.
learning experience
198.
learning infrastructures
199.
Learning Lab
200.
learning management
201.
learning management system
202.
learning management systems
203.
learning methodology
204.
learning metrics
205.
learning models
206.
learning motivation
207.
learning objectives
208.
learning objects
209.
learning organization
210.
learning orientation
211.
learning outcomes
212.
learning process
213.
learning processes
214.
learning rate
215.
learning rate dependence on ownership form
216.
learning rate of organization
217.
learning region
218.
learning situation
219.
learning software agents
220.
learning styles
221.
learning systems
222.
learning technologies
223.
learning theories
224.
learning through the questionnaires
225.
learning university
226.
learning-to-rank
227.
lifelong learning
228.
mathematics students learning habits
229.
Meaningful learning
230.
measuring learning
231.
mobile learning
232.
model learning
233.
Multi-agent reinforcement learning
234.
multi-task learning
235.
mutual learning
236.
new learning models
237.
node embedding learning
238.
NREN e-learning
239.
on-device transfer learning
240.
online learning
241.
ontologies for learning systems
242.
ontology learning
243.
Open Learning Resources (OLR)
244.
organisational learning
245.
organizational learning
246.
organizational learning measurement instruments
247.
organizational learning rate dependence on management
248.
organizational learning rate measurement
249.
outcome oriented learning
250.
peer‐to‐peer learning group
251.
personalised learning
252.
policy learning
253.
problem-based learning
254.
Problem-based learning (PBL)
255.
project learning
256.
project-based learning
257.
Q-learning
258.
Q-learning algorithm
259.
query learning
260.
regional learning
261.
reinforcement learning
262.
Reinforcement Learning (RL)
263.
relative learning performance
264.
Remote learning
265.
research-oriented learning
266.
reusable learning objects
267.
scholarship of teaching and learning
268.
self learning software
269.
self learning system
270.
self-learning
271.
self-regulated learning
272.
semi-supervised learning
273.
smart learning
274.
smart learning environment
275.
social learning
276.
stochastic learning theory
277.
student centred learning
278.
supervised learning
279.
supervised learning data
280.
zero-shot learning
281.
task based learning
282.
team learning
283.
Technological learning
284.
technology-enhanced learning
285.
the dimensions of the learning organisation
286.
the dimensions of the learning organization questionnaire (DLOQ)
287.
tools for interactive learning and teaching
288.
trans-disciplinary social-learning
289.
transfer learning
290.
true online reinforcement learning
291.
ubiquitous learning
292.
unsupervised learning
293.
urban learning center
294.
value of learning
295.
web and computerbased learning
296.
Web and computer-based learning
297.
virtual collaborative learning environment (VCLE)
298.
virtual learning environment
299.
virtual learning factory
300.
work-based learning
301.
workplace learning
author
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ELIXIR Machine Learning Focus Group
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1
1.
UNDP Urban Learning Center
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