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1
artikkel ajakirjas
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
artikkel ajakirjas
2
artikkel ajakirjas EST
/
artikkel ajakirjas 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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
3
artikkel ajakirjas
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
artikkel ajakirjas
4
artikkel kogumikus
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
artikkel kogumikus
5
raamat
Biomimetics
2024
https://www.mdpi.com/journal/biomimetics/special_issues/0K2292JW30
raamat
6
artikkel kogumikus
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
artikkel kogumikus
7
artikkel kogumikus
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
artikkel kogumikus
8
artikkel ajakirjas
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
artikkel ajakirjas
9
artikkel kogumikus EST
/
artikkel kogumikus 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
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Public value creation with Artificial Intelligence technologies in public administration = Avaliku väärtuse loomine tehisintellekti tehnoloogiatega avalikus halduses
10
artikkel ajakirjas EST
/
artikkel ajakirjas 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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
1
IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks
11
artikkel ajakirjas
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
artikkel ajakirjas
12
raamat
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
raamat
13
artikkel ajakirjas
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
artikkel ajakirjas
14
artikkel kogumikus
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
artikkel kogumikus
15
artikkel ajakirjas
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
artikkel ajakirjas
16
raamat
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
raamat
17
artikkel kogumikus
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
artikkel kogumikus
Seotud publikatsioonid
1
Digital twin based computational methods for XR applications = Digitaalkaksikute põhised arvutuslikud meetodid XR rakenduste jaoks
18
artikkel kogumikus EST
/
artikkel kogumikus 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
artikkel kogumikus EST
/
artikkel kogumikus 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
artikkel kogumikus
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
artikkel kogumikus
20
artikkel kogumikus EST
/
artikkel kogumikus 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
artikkel kogumikus EST
/
artikkel kogumikus 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
artikkel ajakirjas
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
artikkel ajakirjas
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
artikkel ajakirjas
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
artikkel ajakirjas
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
artikkel kogumikus
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
artikkel kogumikus
24
artikkel ajakirjas EST
/
artikkel ajakirjas 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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
25
artikkel kogumikus EST
/
artikkel kogumikus 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
artikkel kogumikus EST
/
artikkel kogumikus ENG
Kirjeid leitud 56, kuvan
1 - 25
eelmine
1
2
3
järgmine
võtmesõna
296
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.
challenge-based learning
111.
client learning
112.
Collaborative e-learning
113.
collaborative learning
114.
competence based learning
115.
competence learning
116.
competence-based learning
117.
competency based learning
118.
Component organised learning (COL)
119.
computer assisted language learning
120.
computer based learning
121.
computer-assisted language learning (CALL)
122.
cooperative reinforcement learning
123.
coping with online teaching and learning
124.
customer learning
125.
deep learning
126.
deep learning (DL)
127.
deep learning classifier
128.
deep learning model
129.
deep learning model quantization
130.
deep learning network
131.
deep reinforcement learning
132.
Deep reinforcing learning SDN
133.
Deep-learning
134.
deep-learning (DL)
135.
dictionary learning
136.
digital learning module
137.
digital remote learning
138.
Dimensions of Learning Organisation Questionnaire (DLOQ)
139.
distance learning
140.
distant learning
141.
distributed independent reinforcement learning
142.
double Q-learning
143.
effective teaching and learning
144.
e-learning
145.
e‐learning
146.
e-Learning course
147.
e-Learning database
148.
e-learning environment
149.
electronic learning
150.
embedded deep learning
151.
Emergency remote learning
152.
ensemble learning
153.
enterprising and entrepreneurial learning
154.
entrepreneurial learning
155.
entrepreneurial teaching and learning
156.
ESG-learning
157.
experiential learning
158.
Federated learning
159.
federated learning (FL)
160.
flexible learning
161.
game based learning
162.
game-based learning
163.
guided in-service learning
164.
hands-on-learning
165.
history learning
166.
horizontal federated learning
167.
hybrid learning
168.
incremental learning
169.
inductive learning
170.
inductive learning algorithm
171.
interactive learning objects
172.
interdisciplinary learning
173.
inverse reinforcement learning
174.
investor learning
175.
iterative learning
176.
Kolb’s experiential learning cycle
177.
language learning
178.
Learner-centered learning environment
179.
learning
180.
learning (artificial intelligence)
181.
learning activities
182.
learning adaptation in autonomous vehicles
183.
learning algorithm
184.
learning analysis
185.
learning analytics
186.
learning and experimentation
187.
learning and health outcomes
188.
learning and memory
189.
learning business school
190.
learning by teaching
191.
learning concept
192.
learning design
193.
learning difficulties
194.
Learning environment
195.
learning experience
196.
learning infrastructures
197.
Learning Lab
198.
learning management
199.
learning management system
200.
learning management systems
201.
learning methodology
202.
learning metrics
203.
learning models
204.
learning motivation
205.
learning objectives
206.
learning objects
207.
learning organization
208.
learning orientation
209.
learning outcomes
210.
learning process
211.
learning processes
212.
learning rate
213.
learning rate dependence on ownership form
214.
learning rate of organization
215.
learning region
216.
learning situation
217.
learning software agents
218.
learning styles
219.
learning systems
220.
learning technologies
221.
learning theories
222.
learning through the questionnaires
223.
learning university
224.
learning-to-rank
225.
lifelong learning
226.
mathematics students learning habits
227.
Meaningful learning
228.
measuring learning
229.
mobile learning
230.
model learning
231.
Multi-agent reinforcement learning
232.
mutual learning
233.
new learning models
234.
node embedding learning
235.
NREN e-learning
236.
on-device transfer learning
237.
online learning
238.
ontologies for learning systems
239.
ontology learning
240.
organisational learning
241.
organizational learning
242.
organizational learning measurement instruments
243.
organizational learning rate dependence on management
244.
organizational learning rate measurement
245.
outcome oriented learning
246.
peer‐to‐peer learning group
247.
personalised learning
248.
policy learning
249.
problem-based learning
250.
Problem-based learning (PBL)
251.
project learning
252.
project-based learning
253.
Q-learning
254.
Q-learning algorithm
255.
query learning
256.
regional learning
257.
reinforcement learning
258.
Reinforcement Learning (RL)
259.
relative learning performance
260.
Remote learning
261.
research-oriented learning
262.
reusable learning objects
263.
scholarship of teaching and learning
264.
self learning software
265.
self learning system
266.
self-learning
267.
self-regulated learning
268.
semi-supervised learning
269.
smart learning
270.
smart learning environment
271.
social learning
272.
stochastic learning theory
273.
supervised learning
274.
supervised learning data
275.
zero-shot learning
276.
task based learning
277.
team learning
278.
Technological learning
279.
technology-enhanced learning
280.
the dimensions of the learning organisation
281.
the dimensions of the learning organization questionnaire (DLOQ)
282.
tools for interactive learning and teaching
283.
trans-disciplinary social-learning
284.
transfer learning
285.
true online reinforcement learning
286.
ubiquitous learning
287.
unsupervised learning
288.
urban learning center
289.
value of learning
290.
web and computerbased learning
291.
Web and computer-based learning
292.
virtual collaborative learning environment (VCLE)
293.
virtual learning environment
294.
virtual learning factory
295.
work-based learning
296.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
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UNDP Urban Learning Center
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