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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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311
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.
high-frequency machine modeling
45.
human machine interaction
46.
human machine systems
47.
human-machine interaction
48.
human-machine interactions
49.
human-machine interface
50.
human-machine system
51.
induction machine
52.
interior permanent magnet machine
53.
interior permanent-magnet synchronous machine (IPMSM)
54.
logic machine
55.
low-resource machine translation
56.
machine bearings
57.
machine condition monitoring
58.
machine control
59.
machine design
60.
machine elements
61.
machine error
62.
machine housing
63.
machine tools
64.
machine translation
65.
machine vector control
66.
machine windings
67.
machine vision
68.
machine-checked proofs
69.
machine-translation
70.
man-machine systems
71.
massive machine type communication (mMTC)
72.
massive machine-type communication (mMTC)
73.
massive machine-type communications (mMTC)
74.
massive Machine-Type connections (mMTC)
75.
multi-class support vector machine (m-SVM)
76.
multi-machine
77.
multi-machine industrial power plant
78.
multi-machine power system
79.
multi-stream interaction machine
80.
neural machine translation
81.
outer-rotor machine
82.
permanent magnet (PM) synchronous machine
83.
permanent magnet flux-switching machine
84.
permanent magnet machine
85.
permanent magnet synchronous machine (PMSM)
86.
reluctance machine
87.
sewing machine operator
88.
state machine
89.
support vector machine
90.
surface permanent magnet machine (SPM)
91.
switched reluctance machine
92.
switched reluctance machine (SRM)
93.
synchronous machine
94.
TBM (tunnel boring machine)
95.
totally enclosed fan-cooled machine
96.
universal friction machine
97.
virtual synchronous machine
98.
active blended learning
99.
active learning
100.
active learning methods
101.
algorithm controlling the learning process
102.
appetitive associative learning
103.
approach to learning
104.
Attitude to learning
105.
authoritarian learning
106.
automata learning
107.
bayesian learning
108.
BIM-enabled learning
109.
BIM-enabled learning environment
110.
blended learning
111.
business school as learning organization
112.
business school learning organization questionnaire (BSLOQ)
113.
business school learning rate dependence on GPD
114.
business school learning rate measurement instrument
115.
challenge-based learning
116.
client learning
117.
Collaborative e-learning
118.
collaborative learning
119.
competence based learning
120.
competence learning
121.
competence-based learning
122.
competency based learning
123.
Component organised learning (COL)
124.
computer assisted language learning
125.
computer based learning
126.
computer-assisted language learning (CALL)
127.
cooperative reinforcement learning
128.
coping with online teaching and learning
129.
customer learning
130.
deep learning
131.
deep learning (DL)
132.
deep learning classifier
133.
deep learning method
134.
deep learning methods
135.
deep learning model
136.
deep learning model quantization
137.
deep learning network
138.
deep reinforcement learning
139.
Deep reinforcing learning SDN
140.
Deep-learning
141.
deep-learning (DL)
142.
dictionary learning
143.
digital learning module
144.
digital remote learning
145.
Dimensions of Learning Organisation Questionnaire (DLOQ)
146.
distance learning
147.
distant learning
148.
distributed independent reinforcement learning
149.
double Q-learning
150.
effective teaching and learning
151.
e-learning
152.
e‐learning
153.
e-Learning course
154.
e-Learning database
155.
e-learning environment
156.
electronic learning
157.
embedded deep learning
158.
Emergency remote learning
159.
ensemble learning
160.
enterprising and entrepreneurial learning
161.
entrepreneurial learning
162.
entrepreneurial teaching and learning
163.
ESG-learning
164.
experiential learning
165.
Federated learning
166.
federated learning (FL)
167.
flexible learning
168.
game based learning
169.
game-based learning
170.
guided in-service learning
171.
hands-on-learning
172.
history learning
173.
horizontal federated learning
174.
human-centred learning
175.
hybrid learning
176.
incremental learning
177.
inductive learning
178.
inductive learning algorithm
179.
interactive learning objects
180.
interdisciplinary learning
181.
inverse reinforcement learning
182.
investor learning
183.
iterative learning
184.
Kolb’s experiential learning cycle
185.
language learning
186.
Learner-centered learning environment
187.
learning
188.
learning (artificial intelligence)
189.
learning activities
190.
learning adaptation in autonomous vehicles
191.
learning algorithm
192.
learning analysis
193.
learning analytics
194.
learning and experimentation
195.
learning and health outcomes
196.
learning and memory
197.
learning business school
198.
learning by teaching
199.
learning concept
200.
learning design
201.
learning difficulties
202.
Learning environment
203.
learning experience
204.
Learning from Demonstration
205.
learning infrastructures
206.
Learning Lab
207.
learning management
208.
learning management system
209.
learning management systems
210.
learning methodology
211.
learning metrics
212.
learning models
213.
learning motivation
214.
learning objectives
215.
learning objects
216.
learning organization
217.
learning orientation
218.
learning outcomes
219.
learning process
220.
learning processes
221.
learning rate
222.
learning rate dependence on ownership form
223.
learning rate of organization
224.
learning region
225.
learning situation
226.
learning software agents
227.
learning styles
228.
learning systems
229.
learning technologies
230.
learning theories
231.
learning through the questionnaires
232.
learning university
233.
learning-to-rank
234.
lifelong learning
235.
mathematics students learning habits
236.
Meaningful learning
237.
measuring learning
238.
mobile learning
239.
model learning
240.
Multi-agent reinforcement learning
241.
multi-task learning
242.
mutual learning
243.
new learning models
244.
node embedding learning
245.
NREN e-learning
246.
on-device transfer learning
247.
online learning
248.
ontologies for learning systems
249.
ontology learning
250.
Open Learning Resources (OLR)
251.
organisational learning
252.
organizational learning
253.
organizational learning measurement instruments
254.
organizational learning rate dependence on management
255.
organizational learning rate measurement
256.
outcome oriented learning
257.
peer‐to‐peer learning group
258.
personalised learning
259.
policy learning
260.
problem-based learning
261.
Problem-based learning (PBL)
262.
project learning
263.
project-based learning
264.
Q-learning
265.
Q-learning algorithm
266.
query learning
267.
regional learning
268.
reinforcement learning
269.
Reinforcement Learning (RL)
270.
relative learning performance
271.
Remote learning
272.
research-oriented learning
273.
reusable learning objects
274.
scholarship of teaching and learning
275.
self learning software
276.
self learning system
277.
self-learning
278.
self-regulated learning
279.
semi-supervised learning
280.
SIS problem, learning with errors
281.
smart learning
282.
smart learning environment
283.
social learning
284.
stochastic learning theory
285.
student centred learning
286.
supervised contrastive learning
287.
supervised learning
288.
supervised learning data
289.
synchronous hybrid learning
290.
zero-shot learning
291.
task based learning
292.
team learning
293.
Technological learning
294.
technology-enhanced learning
295.
the dimensions of the learning organisation
296.
the dimensions of the learning organization questionnaire (DLOQ)
297.
tools for interactive learning and teaching
298.
trans-disciplinary social-learning
299.
transfer learning
300.
true online reinforcement learning
301.
ubiquitous learning
302.
unsupervised learning
303.
urban learning center
304.
value of learning
305.
web and computerbased learning
306.
Web and computer-based learning
307.
virtual collaborative learning environment (VCLE)
308.
virtual learning environment
309.
virtual learning factory
310.
work-based learning
311.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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