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126
book article EST
/
book article ENG
Synthetic Data-Driven Detection of Broken Rotor Bars in Induction Machines Under Adjusted Noise Level
Nuha, Nurjahan Amin
;
Siddik Injam, Md Tanbir
;
El Bouharrouti, Nada
;
Hemeida, Ahmed
;
Kudelina, Karolina
;
Naseer, Muhammad Usman
;
Belahcen, Anouar
2025 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)
2025
/
6 p
https://doi.org/10.1109/WEMDCD61816.2025.11014141
book article EST
/
book article ENG
127
journal article EST
/
journal article ENG
A systematic literature review of AI-based digital decision support systems for post-traumatic stress disorder
Bertl, Markus
;
Metsallik, Janek
;
Ross, Peeter
Frontiers in Psychiatry
2022
/
art. 923613, 13 p. : ill
https://doi.org/10.3389/fpsyt.2022.923613
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
128
journal article EST
/
journal article ENG
A systematic review of cutting-edge radar technologies : applications for unmanned ground vehicles (UGVs)
Ersü, Can
;
Petlenkov, Eduard
;
Janson, Karl
Sensors
2024
/
art. 7807
https://doi.org/10.3390/s24237807
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
129
journal article EST
/
journal article ENG
Techno-economic analysis and energy forecasting study of domestic and commercial photovoltaic system installations in Estonia
Shabbir, Noman
;
Kütt, Lauri
;
Raja, Hadi Ashraf
;
Jawad, Muhammad
;
Allik, Alo
;
Husev, Oleksandr
Energy
2022
/
art. 124156
https://doi.org/10.1016/j.energy.2022.124156
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
130
book article
Time-frame analysis of system calls behavior in machine learning-based mobile malware detection
Guerra Manzanares, Alejandro
;
Nõmm, Sven
;
Bahsi, Hayretdin
2019 International Conference on Cyber Security for Emerging Technologies : CSET 2019, Doha, Qatar, 27 October 2019 through 29 October 2019
2019
/
art. 89049088 ; 8 p. : ill
https://doi.org/10.1109/CSET.2019.8904908
book article
Related publications
1
Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks
131
journal article EST
/
journal article ENG
Towards a machine learning-based framework for DDOS attack detection in software-defined IoT (SD-IoT) networks
Bhayo, Jalal
;
Shah, Syed Attique
;
Hameed, Sufian
;
Ahmed, Awais
;
Nasir, Jamal
;
Draheim, Dirk
Engineering Applications of Artificial Intelligence
2023
/
art. 106432
https://doi.org/10.1016/j.engappai.2023.106432
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
132
journal article EST
/
journal article ENG
Towards a smarter charging infrastructure : real-time availability forecasting for EVs
Manai, Meriem
;
Sellami, Bassem
;
Ben Yahia, Sadok
Procedia Computer Science
2024
/
p. 930 - 939
https://doi.org/10.1016/j.procs.2024.09.512
Conference proceedings at Scopus
Article at Scopus
journal article EST
/
journal article ENG
133
book article
Towards artificial intelligence driven immersive environments in virtual reality for industrial applications
Alsaleh, Saleh Ragheb Saleh
;
Tepljakov, Aleksei
;
Tamre, Mart
;
Petlenkov, Eduard
44th International Conference on Telecommunications and Signal Processing (TSP)
2021
/
p. 340-345
https://doi.org/10.1109/TSP52935.2021.9522676
book article
Related publications
1
Digital twin based computational methods for XR applications = Digitaalkaksikute põhised arvutuslikud meetodid XR rakenduste jaoks
134
journal article EST
/
journal article ENG
Towards generation of synthetic data sets for hybrid conflict modelling
Nõmm, Sven
;
Venables, Adrian Nicholas
IFAC-Papers OnLine
2022
/
p. 25-30
https://doi.org/10.1016/j.ifacol.2022.10.226
Conference Proceedings at Scopus
Article at Scopus
Article at WOS
journal article EST
/
journal article ENG
135
journal article EST
/
journal article ENG
Towards personalized elevator travel with smart elevator system
Robal, Tarmo
;
Reinsalu, Uljana
;
Leier, Mairo
Baltic journal of modern computing
2020
/
p. 675-697
https://doi.org/10.22364/bjmc.2020.8.4.12
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
136
book article
Towards the integration of a post-hoc interpretation step into the machine learning workflow for IoT botnet detection
Guerra Manzanares, Alejandro
;
Nõmm, Sven
;
Bahsi, Hayretdin
18th IEEE International Conference on Machine Learning and Applications : ICMLA 2019, 16–19 December 2019, Boca Raton, Florida, USA : proceedings
2019
/
p. 1162-1169 : ill
https://doi.org/10.1109/ICMLA.2019.00193
book article
Related publications
1
Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks
137
journal article EST
/
journal article ENG
Transforming fatigue assessment : smartphone-based system with digitized motor skill tests
Valla, Elli
;
Toose, Ain-Joonas
;
Nõmm, Sven
;
Toomela, Aaro
International Journal of Medical Informatics
2023
/
art. 105152
https://doi.org/10.1016/j.ijmedinf.2023.105152
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Leveraging artificial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks
138
journal article EST
/
journal article ENG
Tree-based ensemble multi-task learning method for classification and regression
Simm, Jaak
;
Magrans De Abril, Ildefons
;
Sugiyma, Masashi
IEICE transactions on information and systems
2014
/
p. 1677-1681
https://doi.org/10.1587/transinf.E97.D.1677
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
139
journal article EST
/
journal article ENG
Tremor-related feature engineering for machine learning based Parkinson’s disease diagnostics
Valla, Elli
;
Nõmm, Sven
;
Medijainen, Kadri
;
Taba, Pille
;
Toomela, Aaro
Biomedical signal processing and control
2022
/
art. 103551
https://doi.org/10.1016/j.bspc.2022.103551
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Leveraging artificial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks
140
journal article EST
/
journal article ENG
Trends and challenges in intelligent condition monitoring of electrical machines using machine learning
Kudelina, Karolina
;
Vaimann, Toomas
;
Asad, Bilal
;
Rassõlkin, Anton
;
Kallaste, Ants
;
Demidova, Galina
Applied sciences
2021
/
art. 2761, 19 p. : ill
https://doi.org/10.3390/app11062761
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
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
141
journal article EST
/
journal article ENG
Understanding multidimensional verification : where functional meets non-functional
Lai, Xinhui
;
Balakrishnan, Aneesh
;
Lange, Thomas
;
Jenihhin, Maksim
;
Ghasempouri, Tara
;
Raik, Jaan
;
Alexandrescu, Dan
Microprocessors and microsystems
2019
/
art. 102867, 13 p. : ill
https://doi.org/10.1016/j.micpro.2019.102867
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
2
A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks
Approaches to extra-functional verification of security and reliability aspects in hardware designs = Riistvaraprojektide turva- ja töökindlusaspektide ekstrafunktsionaalse verifitseerimise lähenemisviisid
142
book article EST
/
book article ENG
Using MedBIoT dataset to build effective machine learning-based IoT botnet detection systems
Guerra Manzanares, Alejandro
;
Medina-Galindo, Jorge
;
Bahsi, Hayretdin
;
Nõmm, Sven
Information Systems Security and Privacy : 6th International Conference, ICISSP 2020, Valletta, Malta, February 25–27, 2020 : revised selected papers
2022
/
p. 222–243
https://doi.org/10.1007/978-3-030-94900-6_11
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
Related publications
1
Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks
143
journal article EST
/
journal article ENG
UWB and GNSS Sensor Fusion Using ML-Based Positioning Uncertainty Estimation
Tommingas, Mihkel
;
Laadung, Taavi
;
Varbla, Sander
;
Müürsepp, Ivo
;
Alam, Muhammad Mahtab
IEEE Open Journal of the Communications Society
2025
/
p. 2177-2189 : ill
https://doi.org//10.1109/OJCOMS.2025.3554352
journal article EST
/
journal article ENG
Related publications
1
Enhancing UWB and multi-sensor positioning with ML-based uncertainty estimation = Ülilairiba ja mitme sensoriga positsioneerimissüsteemide täpsuse parandamine masinõppe meetodil
144
book article EST
/
book article ENG
Why not to trust big data : discussing statistical paradoxes
Sharma, Rahul
;
Kaushik, Minakshi
;
Arakkal Peious, Sijo
;
Shahin, Mahtab
;
Vidyarthi, Ankit
;
Tiwari, Prayag
;
Draheim, Dirk
Database Systems for Advanced Applications : DASFAA 2022, International Workshops BDMS, BDQM, GDMA, IWBT, MATQTDS, and PMBD, Virtual Event, April 11–14, 2022 : proceedings
2022
/
p. 50-63 : ill
https://doi.org/10.1007/978-3-031-11217-1_4
Conference Proceedings at Scopus
Article at Scopus
Conference proceedings at WOS
Article at WOS
book article EST
/
book article ENG
Related publications
1
Unification of decision support techniques : mitigating statistical paradoxes for enabling trustworthy decision making = Otsuste toetamise tehnikate ühtlustamine : statistiliste paradokside mõju maandamine usaldusväärsete otsuste tegemise võimaldamiseks
145
book article
Wind energy forecasting using recurrent neural networks
Shabbir, Noman
;
Kütt, Lauri
;
Jawad, Muhammad
;
Ahmadiahangar, Roya
;
Iqbal, Muhammad Naveed
;
Rosin, Argo
2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)
2019
/
5 p. : ill
https://doi.org/10.1109/BdKCSE48644.2019.9010593
book article
146
book article EST
/
book article ENG
VNIR Hyperspectral Imaging for Nordic Winter Road Surface Classification in Autonomous Driving Applications
Valme, Daniil
;
Rassõlkin, Anton
;
Liyanage, Dhanushka C.
Proceeding of 18th International Conference on Machine Vision (ICMV 2025)
2025
/
9 p
book article EST
/
book article ENG
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graph machine learning
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26.
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27.
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28.
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30.
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33.
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34.
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35.
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36.
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37.
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38.
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39.
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40.
high-frequency machine modeling
41.
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42.
human machine systems
43.
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44.
human-machine interactions
45.
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46.
human-machine system
47.
induction machine
48.
interior permanent magnet machine
49.
interior permanent-magnet synchronous machine (IPMSM)
50.
logic machine
51.
low-resource machine translation
52.
machine bearings
53.
machine condition monitoring
54.
machine control
55.
machine design
56.
machine elements
57.
machine error
58.
machine housing
59.
machine tools
60.
machine translation
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.
spoke-type PM machine
85.
state machine
86.
support vector machine
87.
surface permanent magnet machine (SPM)
88.
switched reluctance machine
89.
switched reluctance machine (SRM)
90.
synchronous machine
91.
TBM (tunnel boring machine)
92.
totally enclosed fan-cooled machine
93.
universal friction machine
94.
virtual synchronous machine
95.
active blended learning
96.
active learning
97.
active learning and engagement
98.
active learning methods
99.
adaptive learning
100.
algorithm controlling the learning process
101.
appetitive associative learning
102.
approach to learning
103.
Attitude to learning
104.
authoritarian learning
105.
automata learning
106.
bayesian learning
107.
BIM-enabled learning
108.
BIM-enabled learning environment
109.
biophilic learning environments
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.
Challenge-Based Learning (CBL)
117.
client learning
118.
Collaborative e-learning
119.
collaborative learning
120.
competence based learning
121.
competence learning
122.
competence-based learning
123.
competency based learning
124.
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125.
computer assisted language learning
126.
computer based learning
127.
computer-assisted language learning (CALL)
128.
contrastive learning
129.
cooperative reinforcement learning
130.
coping with online teaching and learning
131.
customer learning
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133.
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134.
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135.
deep learning method
136.
deep learning methods
137.
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138.
deep learning model quantization
139.
deep learning network
140.
deep reinforcement learning
141.
Deep reinforcing learning SDN
142.
Deep-learning
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deep-learning (DL)
144.
dictionary learning
145.
digital learning module
146.
digital remote learning
147.
Dimensions of Learning Organisation Questionnaire (DLOQ)
148.
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distributed independent reinforcement learning
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double Q-learning
152.
effective teaching and learning
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e‐learning
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electronic learning
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history learning
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horizontal federated learning
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180.
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inductive learning algorithm
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interactive learning objects
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interdisciplinary learning
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learning
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learning activities
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learning and memory
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learning business school
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learning by teaching
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learning factory
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learning management systems
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lifelong learning
240.
long-short term learning
241.
mathematics students learning habits
242.
Meaningful learning
243.
measuring learning
244.
mobile learning
245.
model learning
246.
Multi-agent reinforcement learning
247.
multi-task learning
248.
mutual learning
249.
new learning models
250.
node embedding learning
251.
NREN e-learning
252.
on-device transfer learning
253.
online learning
254.
ontologies for learning systems
255.
ontology learning
256.
Open Learning Resources (OLR)
257.
organisational learning
258.
organizational learning
259.
organizational learning measurement instruments
260.
organizational learning rate dependence on management
261.
organizational learning rate measurement
262.
outcome oriented learning
263.
peer‐to‐peer learning group
264.
personalised learning
265.
Personalized learning
266.
policy learning
267.
problem-based learning
268.
Problem-based learning (PBL)
269.
project learning
270.
project-based learning
271.
Q-learning
272.
Q-learning algorithm
273.
query learning
274.
regional learning
275.
reinforcement learning
276.
Reinforcement Learning (RL)
277.
relative learning performance
278.
Remote learning
279.
research-oriented learning
280.
reusable learning objects
281.
scholarship of teaching and learning
282.
self learning software
283.
self learning system
284.
self-learning
285.
self-regulated learning
286.
semi-supervised learning
287.
sequence of learning activities
288.
SIS problem, learning with errors
289.
smart learning
290.
smart learning environment
291.
social learning
292.
socio-emotional learning
293.
stochastic learning theory
294.
student centred learning
295.
supervised contrastive learning
296.
supervised learning
297.
supervised learning data
298.
synchronous hybrid learning
299.
zero-shot learning
300.
task based learning
301.
team learning
302.
Technological learning
303.
technology-enhanced learning
304.
the dimensions of the learning organisation
305.
the dimensions of the learning organization questionnaire (DLOQ)
306.
tools for interactive learning and teaching
307.
trans-disciplinary social-learning
308.
transfer learning
309.
true online reinforcement learning
310.
ubiquitous learning
311.
unsupervised learning
312.
urban learning center
313.
value of learning
314.
web and computerbased learning
315.
Web and computer-based learning
316.
virtual collaborative learning environment (VCLE)
317.
virtual learning environment
318.
virtual learning factory
319.
work-based learning
320.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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