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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
journal article
AI applications to enhance resilience in power systems and microgrids—A review
Zahraoui, Younes
;
Korõtko, Tarmo
;
Rosin, Argo
;
Mekhilef, Saad
;
Seyedmahmoudian, Mehdi
;
Stojcevski, Alex
;
Alhamrouni, Ibrahim
Sustainability
2024
/
art. 4959
https://doi.org/10.3390/su16124959
journal article
4
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
5
book
Biomimetics
2024
https://www.mdpi.com/journal/biomimetics/special_issues/0K2292JW30
book
6
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
7
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
8
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
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
Seotud publikatsioonid
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
Seotud publikatsioonid
1
IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks
11
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
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
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
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
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
16
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
17
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
Seotud publikatsioonid
1
Digital twin based computational methods for XR applications = Digitaalkaksikute põhised arvutuslikud meetodid XR rakenduste jaoks
18
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
Seotud publikatsioonid
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
19
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
20
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
Seotud publikatsioonid
1
Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik
21
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
Seotud publikatsioonid
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
22
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
Seotud publikatsioonid
1
Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik
23
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
24
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
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
Conference proceedings at WOS
Article at WOS
book article EST
/
book article ENG
Number of records 56, displaying
1 - 25
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keyword
295
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.
BIM-enabled learning
104.
BIM-enabled learning environment
105.
blended learning
106.
business school as learning organization
107.
business school learning organization questionnaire (BSLOQ)
108.
business school learning rate dependence on GPD
109.
business school learning rate measurement instrument
110.
client learning
111.
Collaborative e-learning
112.
collaborative learning
113.
competence based learning
114.
competence learning
115.
competence-based learning
116.
competency based learning
117.
Component organised learning (COL)
118.
computer assisted language learning
119.
computer based learning
120.
computer-assisted language learning (CALL)
121.
cooperative reinforcement learning
122.
coping with online teaching and learning
123.
customer learning
124.
deep learning
125.
deep learning (DL)
126.
deep learning classifier
127.
deep learning model
128.
deep learning model quantization
129.
deep learning network
130.
deep reinforcement learning
131.
Deep reinforcing learning SDN
132.
Deep-learning
133.
deep-learning (DL)
134.
dictionary learning
135.
digital learning module
136.
digital remote learning
137.
Dimensions of Learning Organisation Questionnaire (DLOQ)
138.
distance learning
139.
distant learning
140.
distributed independent reinforcement learning
141.
double Q-learning
142.
effective teaching and learning
143.
e-learning
144.
e‐learning
145.
e-Learning course
146.
e-Learning database
147.
e-learning environment
148.
electronic learning
149.
embedded deep learning
150.
Emergency remote learning
151.
ensemble learning
152.
enterprising and entrepreneurial learning
153.
entrepreneurial learning
154.
entrepreneurial teaching and learning
155.
ESG-learning
156.
experiential learning
157.
Federated learning
158.
federated learning (FL)
159.
flexible learning
160.
game based learning
161.
game-based learning
162.
guided in-service learning
163.
hands-on-learning
164.
history learning
165.
horizontal federated learning
166.
hybrid learning
167.
incremental learning
168.
inductive learning
169.
inductive learning algorithm
170.
interactive learning objects
171.
interdisciplinary learning
172.
inverse reinforcement learning
173.
investor learning
174.
iterative learning
175.
Kolb’s experiential learning cycle
176.
language learning
177.
Learner-centered learning environment
178.
learning
179.
learning (artificial intelligence)
180.
learning activities
181.
learning adaptation in autonomous vehicles
182.
learning algorithm
183.
learning analysis
184.
learning analytics
185.
learning and experimentation
186.
learning and health outcomes
187.
learning and memory
188.
learning business school
189.
learning by teaching
190.
learning concept
191.
learning design
192.
learning difficulties
193.
Learning environment
194.
learning experience
195.
learning infrastructures
196.
Learning Lab
197.
learning management
198.
learning management system
199.
learning management systems
200.
learning methodology
201.
learning metrics
202.
learning models
203.
learning motivation
204.
learning objectives
205.
learning objects
206.
learning organization
207.
learning orientation
208.
learning outcomes
209.
learning process
210.
learning processes
211.
learning rate
212.
learning rate dependence on ownership form
213.
learning rate of organization
214.
learning region
215.
learning situation
216.
learning software agents
217.
learning styles
218.
learning systems
219.
learning technologies
220.
learning theories
221.
learning through the questionnaires
222.
learning university
223.
learning-to-rank
224.
lifelong learning
225.
mathematics students learning habits
226.
Meaningful learning
227.
measuring learning
228.
mobile learning
229.
model learning
230.
Multi-agent reinforcement learning
231.
mutual learning
232.
new learning models
233.
node embedding learning
234.
NREN e-learning
235.
on-device transfer learning
236.
online learning
237.
ontologies for learning systems
238.
ontology learning
239.
organisational learning
240.
organizational learning
241.
organizational learning measurement instruments
242.
organizational learning rate dependence on management
243.
organizational learning rate measurement
244.
outcome oriented learning
245.
peer‐to‐peer learning group
246.
personalised learning
247.
policy learning
248.
problem-based learning
249.
Problem-based learning (PBL)
250.
project learning
251.
project-based learning
252.
Q-learning
253.
Q-learning algorithm
254.
query learning
255.
regional learning
256.
reinforcement learning
257.
Reinforcement Learning (RL)
258.
relative learning performance
259.
Remote learning
260.
research-oriented learning
261.
reusable learning objects
262.
scholarship of teaching and learning
263.
self learning software
264.
self learning system
265.
self-learning
266.
self-regulated learning
267.
semi-supervised learning
268.
smart learning
269.
smart learning environment
270.
social learning
271.
stochastic learning theory
272.
supervised learning
273.
supervised learning data
274.
zero-shot learning
275.
task based learning
276.
team learning
277.
Technological learning
278.
technology-enhanced learning
279.
the dimensions of the learning organisation
280.
the dimensions of the learning organization questionnaire (DLOQ)
281.
tools for interactive learning and teaching
282.
trans-disciplinary social-learning
283.
transfer learning
284.
true online reinforcement learning
285.
ubiquitous learning
286.
unsupervised learning
287.
urban learning center
288.
value of learning
289.
web and computerbased learning
290.
Web and computer-based learning
291.
virtual collaborative learning environment (VCLE)
292.
virtual learning environment
293.
virtual learning factory
294.
work-based learning
295.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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