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126
journal article EST
/
journal article ENG
Study of bearing currents in induction machine : diagnostic possibilities, fault detection, and prediction
Kudelina, Karolina
;
Raja, Hadi Ashraf
;
Naseer, Muhammad Usman
;
Autsou, Siarhei
;
Asad, Bilal
;
Vaimann, Toomas
;
Kallaste, Ants
Electrical engineering
2024
/
14 p. : ill
https://doi.org/10.1007/s00202-024-02411-x
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
127
journal article
Swarm-intelligence algorithms for mining numerical association rules : an exhaustive multi-aspect analysis of performance assessment data
Kaushik, Minakshi
;
Kõiva, Pilleriin
;
Sharma, Rahul
;
Fister, Iztok jr.
;
Draheim, Dirk
SSRN
2023
/
37 p
https://ssrn.com/abstract=4399331
https://doi.org/10.2139/ssrn.4399331
journal article
Related publications
1
Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe
128
book article EST
/
book article ENG
SVM Time series classification of selected gait abnormalities
Rostovski, Jakob
;
Krivošei, Andrei
;
Kuusik, Alar
;
Ahmadov, Ulvi
BODYNETS 2021: Body Area Networks. Smart IoT and Big Data for Intelligent Health Management : 16th EAI International Conference, BODYNETS 2021, Virtual Event, October 25-26, 2021 : proceedings
2022
/
15 p
https://doi.org/10.1007/978-3-030-95593-9_16
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
129
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
130
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
131
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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
132
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
Journal metrics at WOS
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
133
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
134
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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
135
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
136
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
137
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
138
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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
139
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
140
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
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
141
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
142
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
143
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
144
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
145
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
146
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
147
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
148
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
149
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
Number of records 149, displaying
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329
1.
adversarial machine learning
2.
adversarial machine-learning
3.
automatic machine learning (autoML)
4.
data analytics and machine learning
5.
explainable machine learning
6.
graph machine learning
7.
interpretable machine learning
8.
machine learning
9.
machine learning (ML)
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.
AC machine
26.
Algorithmic State Machine - ASM
27.
axial flux machine
28.
axial flux switched reluctance machine
29.
bearingless machine
30.
brushless machine
31.
coordinate measurring machine
32.
electric machine
33.
electric machine analysis computing
34.
electric machine control
35.
electrical machine
36.
electrical machine cooling
37.
electrical machine design
38.
finite state machine
39.
Finite State Machine - FSM
40.
flux switching machine
41.
hierarchical finite state machine
42.
high-frequency machine modeling
43.
human machine interaction
44.
human machine systems
45.
human-machine interaction
46.
human-machine interactions
47.
human-machine interface
48.
human-machine system
49.
induction machine
50.
interior permanent magnet machine
51.
interior permanent-magnet synchronous machine (IPMSM)
52.
logic machine
53.
low-resource machine translation
54.
machine bearings
55.
machine condition monitoring
56.
machine control
57.
machine design
58.
machine elements
59.
machine error
60.
machine housing
61.
machine tools
62.
machine translation
63.
machine vector control
64.
machine windings
65.
machine vision
66.
machine-checked proofs
67.
machine-translation
68.
man-machine systems
69.
massive machine type communication (mMTC)
70.
massive machine-type communication (mMTC)
71.
massive machine-type communication devices (mMTC)
72.
massive machine-type communications (mMTC)
73.
massive Machine-Type connections (mMTC)
74.
multi-class support vector machine (m-SVM)
75.
multi-machine
76.
multi-machine industrial power plant
77.
multi-machine power system
78.
multi-stream interaction machine
79.
neural machine translation
80.
outer-rotor machine
81.
permanent magnet (PM) synchronous machine
82.
permanent magnet flux-switching machine
83.
permanent magnet machine
84.
permanent magnet synchronous machine (PMSM)
85.
reluctance machine
86.
sewing machine operator
87.
spoke-type PM machine
88.
state machine
89.
support vector machine
90.
surface permanent magnet machine (SPM)
91.
switched reluctance machine
92.
switched reluctance machine (SRM)
93.
synchronous machine
94.
TBM (tunnel boring machine)
95.
totally enclosed fan-cooled machine
96.
universal friction machine
97.
virtual synchronous machine
98.
active blended learning
99.
active learning
100.
active learning and engagement
101.
active learning methods
102.
adaptive learning
103.
algorithm controlling the learning process
104.
appetitive associative learning
105.
approach to learning
106.
Artificial Intelligence in learning
107.
Attitude to learning
108.
authoritarian learning
109.
automata learning
110.
bayesian learning
111.
BIM-enabled learning
112.
BIM-enabled learning environment
113.
biophilic learning environments
114.
blended learning
115.
business school as learning organization
116.
business school learning organization questionnaire (BSLOQ)
117.
business school learning rate dependence on GPD
118.
business school learning rate measurement instrument
119.
challenge-based learning
120.
Challenge-Based Learning (CBL)
121.
city-to-city learning
122.
client learning
123.
Collaborative e-learning
124.
collaborative learning
125.
competence based learning
126.
competence learning
127.
competence-based learning
128.
competency based learning
129.
Component organised learning (COL)
130.
computer assisted language learning
131.
computer based learning
132.
computer-assisted language learning (CALL)
133.
contrastive learning
134.
cooperative reinforcement learning
135.
coping with online teaching and learning
136.
customer learning
137.
deep learning
138.
deep learning (DL)
139.
deep learning classifier
140.
deep learning method
141.
deep learning methods
142.
deep learning model
143.
deep learning model quantization
144.
deep learning network
145.
deep reinforcement learning
146.
Deep reinforcing learning SDN
147.
Deep-learning
148.
deep-learning (DL)
149.
dictionary learning
150.
digital learning module
151.
digital remote learning
152.
Dimensions of Learning Organisation Questionnaire (DLOQ)
153.
distance learning
154.
distant learning
155.
distributed independent reinforcement learning
156.
double Q-learning
157.
effective teaching and learning
158.
e-learning
159.
e‐learning
160.
e-Learning course
161.
e-Learning database
162.
e-learning environment
163.
electronic learning
164.
embedded deep learning
165.
Emergency remote learning
166.
ensemble learning
167.
enterprising and entrepreneurial learning
168.
entrepreneurial learning
169.
entrepreneurial teaching and learning
170.
ESG-learning
171.
experiential learning
172.
Federated learning
173.
federated learning (FL)
174.
flexible learning
175.
game based learning
176.
game-based learning
177.
Gamified learning
178.
guided in-service learning
179.
hands-on-learning
180.
history learning
181.
horizontal federated learning
182.
human-centred learning
183.
hybrid learning
184.
Immersive Learning
185.
inclusive learning
186.
incremental learning
187.
inductive learning
188.
inductive learning algorithm
189.
interactive learning objects
190.
interdisciplinary learning
191.
inverse reinforcement learning
192.
investor learning
193.
iterative learning
194.
Kolb’s experiential learning cycle
195.
language learning
196.
Learner-centered learning environment
197.
learning
198.
learning (artificial intelligence)
199.
learning activities
200.
learning adaptation in autonomous vehicles
201.
learning algorithm
202.
learning analysis
203.
learning analytics
204.
learning and experimentation
205.
learning and health outcomes
206.
learning and memory
207.
learning business school
208.
learning by teaching
209.
learning concept
210.
learning content
211.
learning design
212.
learning difficulties
213.
Learning environment
214.
learning experience
215.
learning factory
216.
Learning from Demonstration
217.
learning infrastructures
218.
Learning Lab
219.
learning management
220.
learning management system
221.
learning management systems
222.
learning methodology
223.
learning metrics
224.
learning models
225.
learning motivation
226.
learning objectives
227.
learning objects
228.
learning organization
229.
learning orientation
230.
learning outcomes
231.
learning process
232.
learning processes
233.
learning rate
234.
learning rate dependence on ownership form
235.
learning rate of organization
236.
learning region
237.
learning situation
238.
learning software agents
239.
learning styles
240.
learning systems
241.
learning technologies
242.
learning theories
243.
learning through the questionnaires
244.
learning university
245.
learning-to-rank
246.
lifelong learning
247.
long-short term learning
248.
mathematics students learning habits
249.
Meaningful learning
250.
measuring learning
251.
mobile learning
252.
model learning
253.
Multi-agent reinforcement learning
254.
multi-task learning
255.
mutual learning
256.
new learning models
257.
node embedding learning
258.
NREN e-learning
259.
on-device transfer learning
260.
online learning
261.
ontologies for learning systems
262.
ontology learning
263.
Open Learning Resources (OLR)
264.
organisational learning
265.
organizational learning
266.
organizational learning measurement instruments
267.
organizational learning rate dependence on management
268.
organizational learning rate measurement
269.
outcome oriented learning
270.
peer‐to‐peer learning group
271.
personalised learning
272.
personalized learning
273.
policy learning
274.
problem-based learning
275.
Problem-based learning (PBL)
276.
project learning
277.
project-based learning
278.
Q-learning
279.
Q-learning algorithm
280.
query learning
281.
regional learning
282.
reinforcement learning
283.
Reinforcement Learning (RL)
284.
relative learning performance
285.
Remote learning
286.
research-oriented learning
287.
reusable learning objects
288.
scholarship of teaching and learning
289.
self learning software
290.
self learning system
291.
self-learning
292.
self-regulated learning
293.
semi-supervised learning
294.
sequence of learning activities
295.
sequence to sequence learning
296.
sequential learning
297.
SIS problem, learning with errors
298.
smart learning
299.
smart learning environment
300.
social learning
301.
socio-emotional learning
302.
stochastic learning theory
303.
student centred learning
304.
supervised contrastive learning
305.
supervised learning
306.
supervised learning data
307.
synchronous hybrid learning
308.
zero-shot learning
309.
task based learning
310.
team learning
311.
Technological learning
312.
technology-enhanced learning
313.
the dimensions of the learning organisation
314.
the dimensions of the learning organization questionnaire (DLOQ)
315.
tools for interactive learning and teaching
316.
trans-disciplinary social-learning
317.
transfer learning
318.
true online reinforcement learning
319.
ubiquitous learning
320.
unsupervised learning
321.
urban learning center
322.
value of learning
323.
web and computerbased learning
324.
Web and computer-based learning
325.
virtual collaborative learning environment (VCLE)
326.
virtual learning environment
327.
virtual learning factory
328.
work-based learning
329.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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