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51
book article
Preliminary analysis of bearing current faults for predictive maintenance
Kudelina, Karolina
;
Raja, Hadi Ashraf
;
Vaimann, Toomas
;
Kallaste, Ants
;
Pomarnacki, Raimondas
;
Hyunh, Van Khang
2023 IEEE International Conference on Electric Machines and Drives (IEMDC)
2023
/
5 p. : ill
https://doi.org/10.1109/IEMDC55163.2023.10238934
book article
Related publications
1
Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
52
book article EST
/
book article ENG
A primer on public safety communication in the context of terror attacks: the NATO SPS “COUNTER-TERROR” project
Alam, Muhammad Mahtab
;
Le Moullec, Yannick
;
Ahmad, Rizwan
;
Magarini, Maurizio
;
Reggiani, Luca
Advanced Technologies for Security Applications : Proceedings of the NATO Science for Peace and Security 'Cluster Workshop on Advanced Technologies', 17-18 September 2019, Leuven, Belgium
2020
/
p. 19-34
https://doi.org/10.1007/978-94-024-2021-0_3
Article collection metrics at Scopus
Article at Scopus
book article EST
/
book article ENG
53
book article EST
/
book article ENG
Real-time gait anomaly detection using 1D-CNN and LSTM
Rostovski, Jakob
;
Ahmadilivani, Mohammad Hasan
;
Krivošei, Andrei
;
Kuusik, Alar
;
Alam, Muhammad Mahtab
Digital Health and Wireless Solutions : First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7–8, 2024 : Proceedings, Part II
2024
/
p. 260-278
https://doi.org/10.1007/978-3-031-59091-7_17
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
Related publications
1
Development of methods for real-time in-step anomaly detection in gait analysis = Reaalajaliste meetodite arendus sammusiseste kõrvalkallete tuvastamiseks kõnnianalüüsis
54
book article
Residential DC load forecasting using long short-term memory network (LSTM)
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Rosin, Argo
;
Husev, Oleksandr
;
Jalakas, Tanel
;
Martins, Joao
2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE)
2023
/
p. 131-136
https://doi.org/10.1109/SEGE59172.2023.10274596
book article
55
journal article EST
/
journal article ENG
Retrofitted gate rudder system in situ performance analysis using data-driven method
Zhou, Yi
;
Turkmen, Serkan
;
Pazouki, Kayvan
;
Norman, Rose
Journal of marine science and engineering
2025
/
art. 1667
https://doi.org/10.3390/jmse13091667
https://www.scopus.com/pages/publications/105016999379?origin=resultslist
journal article EST
/
journal article ENG
56
journal article EST
/
journal article ENG
A review of optimal control methods for energy storage systems - energy trading, energy balancing and electric vehicles
Machlev, Ram
;
Zargari, Noa
;
Chowdhury, N
;
Belikov, Juri
;
Levron, Yoash
Journal of energy storage
2020
/
art. 101787, 16 p
https://doi.org/10.1016/j.est.2020.101787
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
57
journal article EST
/
journal article ENG
A review on remote-sensing-based harmful cyanobacterial bloom monitoring services
Janatian, Nasim
;
Raudsepp, Urmas
;
Broomandi, Parya
;
Fickas, Kate
;
Olli, Kalle
;
Heimovaara, Timo
;
Männik, Aarne
;
Uiboupin, Rivo
;
Pahlevan, Nima
Remote sensing applications society and environment
2025
/
art. 101488
https://doi.org/10.1016/j.rsase.2025.101488
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
58
book article
Short-term residental DC load forecasting using extreme gradient boost (XgBoost) algorithm
Shabbir, Noman
;
Husev, Oleksandr
;
Daniel, Kamran
;
Jawad, Muhammad
;
Rosin, Argo
;
Martins, Joao
2024 IEEE 18th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
2024
/
6 p
https://doi.org/10.1109/CPE-POWERENG60842.2024.10604392
Article at Scopus
Article at WOS
book article
59
book article EST
/
book article ENG
Simultaneous road edge and road surface markings detection using convolutional neural networks
Pihlak, Rene
;
Riid, Andri
Databases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings
2020
/
p. 109-121
https://doi.org/10.1007/978-3-030-57672-1_9
Conference proceeding at Scopus
Article at Scopus
book article EST
/
book article ENG
60
book article EST
/
book article ENG
Speaking the same traffic language : a Florida – Tallinn case study in cross-city incident prediction
Shahin, Mahtab
;
Saeidi, Soheila
;
Mahli, Avleen
;
Kaisar, Evangelos I.
;
Bauk, Sanja
;
Soe, Ralf-Martin
Future Data and Security Engineering (FDSE 2025) : proceedings, Part I
2026
/
p. 311-324
https://doi.org/10.1007/978-981-95-4721-0_21
book article EST
/
book article ENG
61
journal article EST
/
journal article ENG
A survey on AI and decision support systems in psychiatry – Uncovering a dilemma
Bertl, Markus
;
Ross, Peeter
;
Draheim, Dirk
Expert Systems with Applications
2022
/
art. 117464, 14 p. : ill
https://doi.org/10.1016/j.eswa.2022.117464
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal 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
62
journal article EST
/
journal article ENG
A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic
Rasheed, Jawad
;
Jamil, Akhtar
;
Draheim, Dirk
Chaos, solitons & fractals
2020
/
art. 110337, 17 p
https://doi.org/10.1016/j.chaos.2020.110337
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
63
journal article EST
/
journal article ENG
Systematic AI support for decision-making in the healthcare sector : obstacles and success factors
Bertl, Markus
;
Ross, Peeter
;
Draheim, Dirk
Health policy and technology
2023
/
art. 100748, 8 p. : ill
https://doi.org/10.1016/j.hlpt.2023.100748
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal 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
64
journal article EST
/
journal article ENG
The gender wealth gap in Europe: Application of machine learning to predict individual-level wealth
Kukk, Merike
;
Meriküll, Jaanika
;
Rõõm, Tairi
Review of income and wealth
2023
/
p. 289 - 317
https://doi.org/10.1111/roiw.12596
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
65
book article
The validation of graph model-based, gate level low-dimensional feature data for machine learning applications
Balakrishnan, Aneesh
;
Lange, Thomas
;
Glorieux, Maximilien
;
Alexandrescu, Dan
;
Jenihhin, Maksim
2019 IEEE Nordic Circuits and Systems Conference (NORCAS) : NORCHIP and International Symposium of System-on-Chip (SoC), 29-30 October 2019, Helsinki, Finland : proceedings in IEEE Xplore
2019
/
7 p
https://doi.org/10.1109/NORCHIP.2019.8906974
book article
Related publications
1
A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks
66
book article
Using machine learning algorithms to form an automatic student’s grade based on the sets of assessment questions
Shvets, Oleg
;
Kuzmina, Jelena
;
Murtazin, Kristina
;
Piho, Gunnar
;
Meeter, Martijn
INTED2023 Proceedings
2023
/
p. 1066-1074
https://doi.org/10.21125/inted.2023.0319
book article
67
book article EST
/
book article ENG
Using machine learning for automated assessment of misclassification of goods for fraud detection
Spitšakova, Margarita
;
Haav, Hele-Mai
Databases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings
2020
/
p. 144-158
https://doi.org/10.1007/978-3-030-57672-1_12
Conference proceeding at Scopus
Article at Scopus
book article EST
/
book article ENG
68
journal article EST
/
journal article ENG
Using machine learning to develop customer insights from user-generated content
Mustak, Mekhail
;
Hallikainen, Heli
;
Laukkanen, Tommi
;
Ple, Loïc
;
Hollebeek, Linda Desiree
;
Aleem, Majid
Journal of retailing and consumer services
2024
/
art. 104034, 14 p. : ill
https://doi.org/10.1016/j.jretconser.2024.104034
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
69
journal article EST
/
journal article ENG
Using machine learning to improve brand management in an online environment
Iankovets, T.
;
Järvis, Marina
;
Fomin, O.
;
Chernobrovkina, S.
;
Shvets, S.
International review of management and marketing
2025
/
p. 118-125
https://doi.org/10.32479/irmm.20649
journal article EST
/
journal article ENG
70
journal article
UWB positioning integrity estimation using ranging residuals and ML augmented filtering
Tommingas, Mihkel
;
Alam, Muhammad Mahtab
;
Müürsepp, Ivo
;
Ulp, Sander
IEEE Journal of indoor and seamless positioning and navigation
2024
/
p. 205-218
https://doi.org/10.1109/JISPIN.2024.3418296
Article at WOS
journal article
Related publications
1
Enhancing UWB and multi-sensor positioning with ML-based uncertainty estimation = Ülilairiba ja mitme sensoriga positsioneerimissüsteemide täpsuse parandamine masinõppe meetodil
71
book article
Wafer-level die re-test success prediction using machine learning
Selg, Hardi
;
Jenihhin, Maksim
;
Ellervee, Peeter
21st IEEE Latin-American Test Symposium (LATS) 2020 : proceedings
2020
/
5 p
https://doi.org/10.1109/LATS49555.2020.9093672
book article
72
book article EST
/
book article ENG
Work-in-progress : exploring psychological and behavioural differences between university IT student segments formed based on dropout time and academic performance
Puudist, Eerik Sven
;
Luberg, Ago
;
Aus, Kati
Learning in the Age of Digital and Green Transition : Proceedings of the 25th International Conference on Interactive Collaborative Learning (ICL2022), Volume 2
2023
/
p. 590-596
https://doi.org/10.1007/978-3-031-26190-9_62
Conference proceedings at Scopus
Article at Scopus
book article EST
/
book article ENG
73
book article EST
/
book article ENG
XGBoost based day ahead solar energy generation forecasting using trends and periodicity features in historical and weather data
Shabbir, Noman
;
Daniel, Kamran
;
Rosin, Argo
;
Raja, Hadi Ashraf
;
Jawad, Muhammad
;
Martins, Joao
2025 IEEE XXXII International Conference on Electronics, Electrical Engineering and Computing (INTERCON)
2025
/
6 p
https://doi.org/10.1109/INTERCON67304.2025.11244700
book article EST
/
book article ENG
74
book article
XgBoost based short-term electrical load forecasting considering trends & periodicity in historical data
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Rosin, Argo
;
Jawad, Muhammad
;
Kilter, Jako
;
Martins, Joao
2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG)
2023
/
6 p
https://doi.org/10.1109/ETFG55873.2023.10407926
book article
Number of records 74, displaying
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1.
machine learning (ML)
2.
adversarial machine learning
3.
adversarial machine-learning
4.
automatic machine learning (autoML)
5.
data analytics and machine learning
6.
explainable machine learning
7.
graph machine learning
8.
interpretable machine learning
9.
machine learning
10.
machine learning algorithms
11.
machine learning applications in power systems
12.
machine learning approach
13.
Machine Learning Explainable model
14.
machine learning for environmental applications
15.
machine learning models
16.
machine learning systems
17.
machine-learning
18.
machine-learning predictive model
19.
Parkinson’s disease machine learning
20.
robust machine learning
21.
small data machine learning
22.
supervised machine learning
23.
unsupervised machine learning
24.
machine-to-machine communications
25.
AI/ML
26.
double ML
27.
Mittag-Leffler (ML) function
28.
ML bias
29.
ML ethics
30.
ML-DSA
31.
AC machine
32.
Algorithmic State Machine - ASM
33.
axial flux machine
34.
axial flux switched reluctance machine
35.
bearingless machine
36.
brushless machine
37.
coordinate measurring machine
38.
electric machine
39.
electric machine analysis computing
40.
electric machine control
41.
electrical machine
42.
electrical machine cooling
43.
electrical machine design
44.
finite state machine
45.
Finite State Machine - FSM
46.
flux switching machine
47.
hierarchical finite state machine
48.
high-frequency machine modeling
49.
human machine interaction
50.
human machine systems
51.
human-machine interaction
52.
human-machine interactions
53.
human-machine interface
54.
human-machine system
55.
induction machine
56.
interior permanent magnet machine
57.
interior permanent-magnet synchronous machine (IPMSM)
58.
logic machine
59.
low-resource machine translation
60.
machine bearings
61.
machine condition monitoring
62.
machine control
63.
machine design
64.
machine elements
65.
machine error
66.
machine housing
67.
machine tools
68.
machine translation
69.
machine vector control
70.
machine windings
71.
machine vision
72.
machine-checked proofs
73.
machine-translation
74.
man-machine systems
75.
massive machine type communication (mMTC)
76.
massive machine-type communication (mMTC)
77.
massive machine-type communication devices (mMTC)
78.
massive machine-type communications (mMTC)
79.
massive Machine-Type connections (mMTC)
80.
multi-class support vector machine (m-SVM)
81.
multi-machine
82.
multi-machine industrial power plant
83.
multi-machine power system
84.
multi-stream interaction machine
85.
neural machine translation
86.
outer-rotor machine
87.
permanent magnet (PM) synchronous machine
88.
permanent magnet flux-switching machine
89.
permanent magnet machine
90.
permanent magnet synchronous machine (PMSM)
91.
reluctance machine
92.
sewing machine operator
93.
spoke-type PM machine
94.
state machine
95.
support vector machine
96.
surface permanent magnet machine (SPM)
97.
switched reluctance machine
98.
switched reluctance machine (SRM)
99.
synchronous machine
100.
TBM (tunnel boring machine)
101.
totally enclosed fan-cooled machine
102.
universal friction machine
103.
virtual synchronous machine
104.
active blended learning
105.
active learning
106.
active learning and engagement
107.
active learning methods
108.
adaptive learning
109.
algorithm controlling the learning process
110.
appetitive associative learning
111.
approach to learning
112.
Artificial Intelligence in learning
113.
Attitude to learning
114.
authoritarian learning
115.
automata learning
116.
bayesian learning
117.
BIM-enabled learning
118.
BIM-enabled learning environment
119.
biophilic learning environments
120.
blended learning
121.
business school as learning organization
122.
business school learning organization questionnaire (BSLOQ)
123.
business school learning rate dependence on GPD
124.
business school learning rate measurement instrument
125.
challenge-based learning
126.
Challenge-Based Learning (CBL)
127.
city-to-city learning
128.
client learning
129.
Collaborative e-learning
130.
collaborative learning
131.
competence based learning
132.
competence learning
133.
competence-based learning
134.
competency based learning
135.
Component organised learning (COL)
136.
computer assisted language learning
137.
computer based learning
138.
computer-assisted language learning (CALL)
139.
contrastive learning
140.
cooperative reinforcement learning
141.
coping with online teaching and learning
142.
customer learning
143.
deep learning
144.
deep learning (DL)
145.
deep learning classifier
146.
deep learning method
147.
deep learning methods
148.
deep learning model
149.
deep learning model quantization
150.
deep learning network
151.
deep reinforcement learning
152.
Deep reinforcing learning SDN
153.
Deep-learning
154.
deep-learning (DL)
155.
dictionary learning
156.
digital learning module
157.
digital remote learning
158.
Dimensions of Learning Organisation Questionnaire (DLOQ)
159.
distance learning
160.
distant learning
161.
distributed independent reinforcement learning
162.
double Q-learning
163.
effective teaching and learning
164.
e-learning
165.
e‐learning
166.
e-Learning course
167.
e-Learning database
168.
e-learning environment
169.
electronic learning
170.
embedded deep learning
171.
Emergency remote learning
172.
ensemble learning
173.
enterprising and entrepreneurial learning
174.
entrepreneurial learning
175.
entrepreneurial teaching and learning
176.
ESG-learning
177.
experiential learning
178.
Federated learning
179.
federated learning (FL)
180.
flexible learning
181.
game based learning
182.
game-based learning
183.
Gamified learning
184.
guided in-service learning
185.
hands-on-learning
186.
history learning
187.
horizontal federated learning
188.
human-centred learning
189.
hybrid learning
190.
Immersive Learning
191.
inclusive learning
192.
incremental learning
193.
inductive learning
194.
inductive learning algorithm
195.
interactive learning objects
196.
interdisciplinary learning
197.
inverse reinforcement learning
198.
investor learning
199.
iterative learning
200.
Kolb’s experiential learning cycle
201.
language learning
202.
Learner-centered learning environment
203.
learning
204.
learning (artificial intelligence)
205.
learning activities
206.
learning adaptation in autonomous vehicles
207.
learning algorithm
208.
learning analysis
209.
learning analytics
210.
learning and experimentation
211.
learning and health outcomes
212.
learning and memory
213.
learning business school
214.
learning by teaching
215.
learning concept
216.
learning content
217.
learning design
218.
learning difficulties
219.
Learning environment
220.
learning experience
221.
learning factory
222.
Learning from Demonstration
223.
learning infrastructures
224.
Learning Lab
225.
learning management
226.
learning management system
227.
learning management systems
228.
learning methodology
229.
learning metrics
230.
learning models
231.
learning motivation
232.
learning objectives
233.
learning objects
234.
learning organization
235.
learning orientation
236.
learning outcomes
237.
learning process
238.
learning processes
239.
learning rate
240.
learning rate dependence on ownership form
241.
learning rate of organization
242.
learning region
243.
learning situation
244.
learning software agents
245.
learning styles
246.
learning systems
247.
learning technologies
248.
learning theories
249.
learning through the questionnaires
250.
learning university
251.
learning-to-rank
252.
lifelong learning
253.
long-short term learning
254.
mathematics students learning habits
255.
Meaningful learning
256.
measuring learning
257.
mobile learning
258.
model learning
259.
Multi-agent reinforcement learning
260.
multi-task learning
261.
mutual learning
262.
new learning models
263.
node embedding learning
264.
NREN e-learning
265.
on-device transfer learning
266.
online learning
267.
ontologies for learning systems
268.
ontology learning
269.
Open Learning Resources (OLR)
270.
organisational learning
271.
organizational learning
272.
organizational learning measurement instruments
273.
organizational learning rate dependence on management
274.
organizational learning rate measurement
275.
outcome oriented learning
276.
peer‐to‐peer learning group
277.
personalised learning
278.
personalized learning
279.
policy learning
280.
problem-based learning
281.
Problem-based learning (PBL)
282.
project learning
283.
project-based learning
284.
Q-learning
285.
Q-learning algorithm
286.
query learning
287.
regional learning
288.
reinforcement learning
289.
Reinforcement Learning (RL)
290.
relative learning performance
291.
Remote learning
292.
research-oriented learning
293.
reusable learning objects
294.
scholarship of teaching and learning
295.
self learning software
296.
self learning system
297.
self-learning
298.
self-regulated learning
299.
semi-supervised learning
300.
sequence of learning activities
301.
sequence to sequence learning
302.
sequential learning
303.
SIS problem, learning with errors
304.
smart learning
305.
smart learning environment
306.
social learning
307.
socio-emotional learning
308.
stochastic learning theory
309.
student centred learning
310.
supervised contrastive learning
311.
supervised learning
312.
supervised learning data
313.
synchronous hybrid learning
314.
zero-shot learning
315.
task based learning
316.
team learning
317.
Technological learning
318.
technology-enhanced learning
319.
the dimensions of the learning organisation
320.
the dimensions of the learning organization questionnaire (DLOQ)
321.
tools for interactive learning and teaching
322.
trans-disciplinary social-learning
323.
transfer learning
324.
true online reinforcement learning
325.
ubiquitous learning
326.
unsupervised learning
327.
urban learning center
328.
value of learning
329.
web and computerbased learning
330.
Web and computer-based learning
331.
virtual collaborative learning environment (VCLE)
332.
virtual learning environment
333.
virtual learning factory
334.
work-based learning
335.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
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UNDP Urban Learning Center
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TalTech department
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Valikud
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