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51
book article EST
/
book article ENG
Preface
Jallouli, Rim
;
Tobji, Mohamed Anis Bach
;
Mcheick, Hamid
;
Piho, Gunnar
Digital Economy. Emerging Technologies and Business Innovation : 6th International Conference on Digital Economy, ICDEc 2021, Tallinn, Estonia, July 15–17, 2021 : proceedings
2021
/
p. v–vi
https://link.springer.com/content/pdf/bfm:978-3-030-92909-1/1
Collection metrics at Scopus
Article at Scopus
book article EST
/
book article ENG
52
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
53
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
54
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
55
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
56
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
57
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
58
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
59
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
60
book article EST
/
book article ENG
Signals of departure : statistical forecasting of student dropout in higher education
Rumma, Kirsti
;
Tasane, Helery
INTED2026 Proceedings
2026
https://doi.org/10.21125/inted.2026.1057
book article EST
/
book article ENG
61
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
62
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
63
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
64
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
65
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
66
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
67
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
68
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
69
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
70
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
71
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
72
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
73
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
74
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
75
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
Number of records 76, displaying
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337
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.
probability-informed machine learning
21.
robust machine learning
22.
small data machine learning
23.
supervised machine learning
24.
unsupervised machine learning
25.
machine-to-machine communications
26.
AI/ML
27.
double ML
28.
Mittag-Leffler (ML) function
29.
ML bias
30.
ML ethics
31.
ML-DSA
32.
AC machine
33.
Algorithmic State Machine - ASM
34.
axial flux machine
35.
axial flux switched reluctance machine
36.
bearingless machine
37.
brushless machine
38.
coordinate measurring machine
39.
electric machine
40.
electric machine analysis computing
41.
electric machine control
42.
electrical machine
43.
electrical machine cooling
44.
electrical machine design
45.
finite state machine
46.
Finite State Machine - FSM
47.
flux switching machine
48.
hierarchical finite state machine
49.
high-frequency machine modeling
50.
human machine interaction
51.
human machine systems
52.
human-machine interaction
53.
human-machine interactions
54.
human-machine interface
55.
human-machine system
56.
induction machine
57.
interior permanent magnet machine
58.
interior permanent-magnet synchronous machine (IPMSM)
59.
logic machine
60.
low-resource machine translation
61.
machine bearings
62.
machine condition monitoring
63.
machine control
64.
machine design
65.
machine elements
66.
machine error
67.
machine housing
68.
machine tools
69.
machine translation
70.
machine vector control
71.
machine windings
72.
machine vision
73.
machine-checked proofs
74.
machine-translation
75.
man-machine systems
76.
massive machine type communication (mMTC)
77.
massive machine-type communication (mMTC)
78.
massive machine-type communication devices (mMTC)
79.
massive machine-type communications (mMTC)
80.
massive Machine-Type connections (mMTC)
81.
multi-class support vector machine (m-SVM)
82.
multi-machine
83.
multi-machine industrial power plant
84.
multi-machine power system
85.
multi-stream interaction machine
86.
neural machine translation
87.
outer-rotor machine
88.
permanent magnet (PM) synchronous machine
89.
permanent magnet flux-switching machine
90.
permanent magnet machine
91.
permanent magnet synchronous machine (PMSM)
92.
reluctance machine
93.
sewing machine operator
94.
spoke-type PM machine
95.
state machine
96.
support vector machine
97.
surface permanent magnet machine (SPM)
98.
switched reluctance machine
99.
switched reluctance machine (SRM)
100.
synchronous machine
101.
TBM (tunnel boring machine)
102.
totally enclosed fan-cooled machine
103.
universal friction machine
104.
virtual synchronous machine
105.
active blended learning
106.
active learning
107.
active learning and engagement
108.
active learning methods
109.
adaptive learning
110.
algorithm controlling the learning process
111.
appetitive associative learning
112.
approach to learning
113.
Artificial Intelligence in learning
114.
Attitude to learning
115.
authoritarian learning
116.
automata learning
117.
bayesian learning
118.
BIM-enabled learning
119.
BIM-enabled learning environment
120.
biophilic learning environments
121.
blended learning
122.
business school as learning organization
123.
business school learning organization questionnaire (BSLOQ)
124.
business school learning rate dependence on GPD
125.
business school learning rate measurement instrument
126.
challenge-based learning
127.
Challenge-Based Learning (CBL)
128.
city-to-city learning
129.
client learning
130.
Collaborative e-learning
131.
collaborative learning
132.
competence based learning
133.
competence learning
134.
competence-based learning
135.
competency based learning
136.
Component organised learning (COL)
137.
computer assisted language learning
138.
computer based learning
139.
computer-assisted language learning (CALL)
140.
contrastive learning
141.
cooperative reinforcement learning
142.
coping with online teaching and learning
143.
customer learning
144.
deep learning
145.
deep learning (DL)
146.
deep learning classifier
147.
deep learning method
148.
deep learning methods
149.
deep learning model
150.
deep learning model quantization
151.
deep learning network
152.
deep reinforcement learning
153.
Deep reinforcing learning SDN
154.
Deep-learning
155.
deep-learning (DL)
156.
dictionary learning
157.
digital learning module
158.
digital remote learning
159.
Dimensions of Learning Organisation Questionnaire (DLOQ)
160.
distance learning
161.
distant learning
162.
distributed independent reinforcement learning
163.
double Q-learning
164.
effective teaching and learning
165.
e-learning
166.
e‐learning
167.
e-Learning course
168.
e-Learning database
169.
e-learning environment
170.
electronic learning
171.
embedded deep learning
172.
Emergency remote learning
173.
ensemble learning
174.
enterprising and entrepreneurial learning
175.
entrepreneurial learning
176.
entrepreneurial teaching and learning
177.
ESG-learning
178.
experiential learning
179.
Federated learning
180.
federated learning (FL)
181.
flexible learning
182.
game based learning
183.
game-based learning
184.
Gamified learning
185.
guided in-service learning
186.
hands-on-learning
187.
history learning
188.
horizontal federated learning
189.
human-centred learning
190.
hybrid learning
191.
Immersive Learning
192.
inclusive learning
193.
incremental learning
194.
inductive learning
195.
inductive learning algorithm
196.
interactive learning objects
197.
interdisciplinary learning
198.
inverse reinforcement learning
199.
investor learning
200.
iterative learning
201.
Kolb’s experiential learning cycle
202.
language learning
203.
Learner-centered learning environment
204.
learning
205.
learning (artificial intelligence)
206.
learning activities
207.
learning adaptation in autonomous vehicles
208.
learning algorithm
209.
learning analysis
210.
learning analytics
211.
learning and experimentation
212.
learning and health outcomes
213.
learning and memory
214.
learning business school
215.
learning by teaching
216.
learning concept
217.
learning content
218.
learning design
219.
learning difficulties
220.
Learning environment
221.
learning experience
222.
learning factory
223.
Learning from Demonstration
224.
learning infrastructures
225.
Learning Lab
226.
learning management
227.
learning management system
228.
learning management systems
229.
learning methodology
230.
learning metrics
231.
learning models
232.
learning motivation
233.
learning objectives
234.
learning objects
235.
learning organization
236.
learning orientation
237.
learning outcomes
238.
learning process
239.
learning processes
240.
learning rate
241.
learning rate dependence on ownership form
242.
learning rate of organization
243.
learning region
244.
learning situation
245.
learning software agents
246.
learning styles
247.
learning systems
248.
learning technologies
249.
learning theories
250.
learning through the questionnaires
251.
learning university
252.
learning-to-rank
253.
lifelong learning
254.
long-short term learning
255.
mathematics students learning habits
256.
Meaningful learning
257.
measuring learning
258.
mobile learning
259.
model learning
260.
Multi-agent deep reinforcement learning
261.
Multi-agent reinforcement learning
262.
multi-task learning
263.
mutual learning
264.
new learning models
265.
node embedding learning
266.
NREN e-learning
267.
on-device transfer learning
268.
online learning
269.
ontologies for learning systems
270.
ontology learning
271.
Open Learning Resources (OLR)
272.
organisational learning
273.
organizational learning
274.
organizational learning measurement instruments
275.
organizational learning rate dependence on management
276.
organizational learning rate measurement
277.
outcome oriented learning
278.
peer‐to‐peer learning group
279.
personalised learning
280.
personalized learning
281.
policy learning
282.
problem-based learning
283.
Problem-based learning (PBL)
284.
project learning
285.
project-based learning
286.
Q-learning
287.
Q-learning algorithm
288.
query learning
289.
regional learning
290.
reinforcement learning
291.
Reinforcement Learning (RL)
292.
relative learning performance
293.
Remote learning
294.
research-oriented learning
295.
reusable learning objects
296.
scholarship of teaching and learning
297.
self learning software
298.
self learning system
299.
self-learning
300.
self-regulated learning
301.
semi-supervised learning
302.
sequence of learning activities
303.
sequence to sequence learning
304.
sequential learning
305.
SIS problem, learning with errors
306.
smart learning
307.
smart learning environment
308.
social learning
309.
socio-emotional learning
310.
stochastic learning theory
311.
student centred learning
312.
supervised contrastive learning
313.
supervised learning
314.
supervised learning data
315.
synchronous hybrid learning
316.
zero-shot learning
317.
task based learning
318.
team learning
319.
Technological learning
320.
technology-enhanced learning
321.
the dimensions of the learning organisation
322.
the dimensions of the learning organization questionnaire (DLOQ)
323.
tools for interactive learning and teaching
324.
trans-disciplinary social-learning
325.
transfer learning
326.
true online reinforcement learning
327.
ubiquitous learning
328.
unsupervised learning
329.
urban learning center
330.
value of learning
331.
web and computerbased learning
332.
Web and computer-based learning
333.
virtual collaborative learning environment (VCLE)
334.
virtual learning environment
335.
virtual learning factory
336.
work-based learning
337.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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