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76
journal article EST
/
journal article ENG
Predictive analytics beyond time series : predicting series of events extracted from time series data
Mishra, Sambeet
;
Bordin, Chiara
;
Taharaguchi, Kota
;
Purkayastha, Adri
Wind Energy
2022
/
p. 1596-1609
https://doi.org/10.1002/we.2760
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
77
book article
Preliminary analysis of global parameters of induction machine for fault prediction in rotor bars
Kudelina, Karolina
;
Raja, Hadi Ashraf
;
Autsou, Siarhei
;
Asad, Bilal
;
Vaimann, Toomas
;
Rassõlkin, Anton
;
Kallaste, Ants
2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC) : Brasov, Romania, 25-28 Sept. 2022 : proceedings
2022
/
p. 243-248 : ill
https://doi.org/10.1109/PEMC51159.2022.9962922
book article
78
book article
Real-time gait anomaly detection using SVM time series classification
Rostovski, Jakob
;
Krivošei, Andrei
;
Kuusik, Alar
;
Alam, Muhammad Mahtab
;
Ahmadov, Ulvi
2023 International Wireless Communications and Mobile Computing (IWCMC)
2023
/
p. 1389-1394
https://doi.org/10.1109/IWCMC58020.2023.10182666
book article
79
book article
Residential load forecasting for flexibility prediction using machine learning-based regression model
Ahmadiahangar, Roya
;
Häring, Tobias
;
Rosin, Argo
;
Korõtko, Tarmo
;
Martins, Joao
2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
2019
/
4 p. : ill
https://doi.org/10.1109/EEEIC.2019.8783634
book article
80
book article
Residential load forecasting using recurrent neural networks
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Raja, Hadi Ashraf
;
Kütt, Lauri
;
Rosin, Argo
2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings
2020
/
p. 478-481 : ill
https://doi.org/10.1109/CPE-POWERENG48600.2020.9161565
book article
81
book article EST
/
book article ENG
Scalable and imbalance-resistant machine learning models for anti-money laundering : a two-layered approach
Tertychnyi, Pavlo
;
Slobozhan, Ivan
;
Ollikainen, Madis
;
Dumas, Marlon
Enterprise Applications, Markets and Services in the Finance Industry : 10th International Workshop, FinanceCom 2020, Helsinki, Finland, August 18, 2020, Revised Selected Papers
2020
/
p. 43-58
https://doi.org/10.1007/978-3-030-64466-6_3
Conference Proceedings at Scopus
Article at Scopus
book article EST
/
book article ENG
82
journal article EST
/
journal article ENG
Short-term wind energy forecasting using deep learning-based predictive analytics
Shabbir, Noman
;
Kütt, Lauri
;
Jawad, Muhammad
;
Husev, Oleksandr
CMC-Computers, Materials & Continua
2022
/
p. 1017-1033
https://doi.org/10.32604/cmc.2022.024576
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Seotud publikatsioonid
1
Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
83
book article
Signal processing and machine learning techniques for predictive maintenance of rotor bars in induction machine
Kudelina, Karolina
;
Raja, Hadi Ashraf
;
Rjabtšikov, Viktor
;
Naseer, Muhammad Usman
;
Vaimann, Toomas
;
Kallaste, Ants
2023 International Conference on Electrical Drives and Power Electronics (EDPE)
2023
/
7 p
https://doi.org/10.1109/EDPE58625.2023.10274030
book article
Seotud publikatsioonid
1
Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
84
journal article EST
/
journal article ENG
Signal spectrum-based machine learning approach for fault prediction and maintenance of electrical machines
Raja, Hadi Ashraf
;
Kudelina, Karolina
;
Asad, Bilal
;
Vaimann, Toomas
;
Kallaste, Ants
;
Rassõlkin, Anton
;
Khang, Huynh Van
Energies
2022
/
art. 9507
https://doi.org/10.3390/en15249507
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
Seotud publikatsioonid
1
IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks
85
book article
Smart elevator with unsupervised learning for visitor profiling and personalised destination prediction
Leier, Mairo
;
Riid, Andri
;
Alumäe, Tanel
;
Pihlak, Rene
;
Udal, Andres
;
Heinsar, Risto
;
Vainküla, Sven
2021 IEEE International Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) : Virtual Conference, 14-22 May 2021 : proceedings
2021
/
p. 9-16
https://doi.org/10.1109/CogSIMA51574.2021.9475921
book article
86
book article
Social, legal, and technical considerations for machine learning and artificial intelligence systems in government
Dreyling, Richard
;
Jackson, Eric B.
;
Tammet, Tanel
;
Labanava, Alena
;
Pappel, Ingrid
Proceedings of the 23rd International Conference on Enterprise Information Systems ; vol. 1
2021
/
p. 701-708
https://doi.org/10.5220/0010452907010708
book article
87
book article
Status Detector for Fuzzing-Based Vulnerability Mining of IEC 61850 Protocol
Visky, Gabor
;
Lavrenovs, Arturs
;
Maennel, Olaf Manuel
Proceeding of the 20th European Conference on Cyber Warfare and Security
2021
/
p. 454-461
https://doi.org/10.34190/EWS.21.007
book article
88
journal article
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
https://doi.org/10.1007/s00202-024-02411-x
journal article
Seotud publikatsioonid
1
Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
89
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
journal article
Seotud publikatsioonid
1
Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe
90
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
91
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
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
92
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
Seotud publikatsioonid
1
Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
93
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
Seotud publikatsioonid
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
94
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
Seotud publikatsioonid
1
Digital twin based computational methods for XR applications = Digitaalkaksikute põhised arvutuslikud meetodid XR rakenduste jaoks
95
journal article EST
/
journal article ENG
Towards generation of synthetic data sets for hybrid conflict modelling
Nõmm, Sven
;
Venables, Adrian
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
96
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
97
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
Seotud publikatsioonid
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
98
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
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Article at WOS
journal article EST
/
journal article ENG
99
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
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Article at WOS
journal article EST
/
journal article ENG
Seotud publikatsioonid
1
Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
100
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
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journal article EST
/
journal article ENG
Seotud publikatsioonid
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
Number of records 103, displaying
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1.
adversarial machine learning
2.
adversarial machine-learning
3.
automatic machine learning (autoML)
4.
machine learning
5.
machine learning (ML)
6.
machine learning algorithms
7.
machine learning approach
8.
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9.
machine learning for environmental applications
10.
machine-learning
11.
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12.
Parkinson’s disease machine learning
13.
robust machine learning
14.
small data machine learning
15.
supervised machine learning
16.
unsupervised machine learning
17.
machine-to-machine communications
18.
AC machine
19.
Algorithmic State Machine - ASM
20.
axial flux machine
21.
axial flux switched reluctance machine
22.
bearingless machine
23.
brushless machine
24.
coordinate measurring machine
25.
electric machine
26.
electric machine analysis computing
27.
electric machine control
28.
electrical machine
29.
electrical machine cooling
30.
electrical machine design
31.
finite state machine
32.
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33.
hierarchical finite state machine
34.
human machine interaction
35.
human machine systems
36.
human-machine interaction
37.
human-machine interface
38.
human-machine system
39.
induction machine
40.
interior permanent magnet machine
41.
interior permanent-magnet synchronous machine (IPMSM)
42.
linear machine
43.
machine bearings
44.
machine condition monitoring
45.
machine control
46.
machine design
47.
machine elements
48.
machine error
49.
machine housing
50.
machine tools
51.
machine vector control
52.
machine windings
53.
machine vision
54.
machine-translation
55.
man-machine systems
56.
massive machine-type communication (mMTC)
57.
massive machine-type communications (mMTC)
58.
massive Machine-Type connections (mMTC)
59.
multi-class support vector machine (m-SVM)
60.
multi-machine
61.
multi-machine industrial power plant
62.
multi-machine power system
63.
multi-stream interaction machine
64.
outer-rotor machine
65.
permanent magnet (PM) synchronous machine
66.
permanent magnet flux-switching machine
67.
permanent magnet machine
68.
permanent magnet synchronous machine (PMSM)
69.
sewing machine operator
70.
state machine
71.
support vector machine
72.
surface permanent magnet machine (SPM)
73.
switched reluctance machine
74.
switched reluctance machine (SRM)
75.
synchronous machine
76.
TBM (tunnel boring machine)
77.
totally enclosed fan-cooled machine
78.
universal friction machine
79.
virtual synchronous machine
80.
active blended learning
81.
active learning
82.
active learning methods
83.
algorithm controlling the learning process
84.
appetitive associative learning
85.
approach to learning
86.
Attitude to learning
87.
authoritarian learning
88.
automata learning
89.
BIM-enabled learning
90.
BIM-enabled learning environment
91.
blended learning
92.
business school as learning organization
93.
business school learning organization questionnaire (BSLOQ)
94.
business school learning rate dependence on GPD
95.
business school learning rate measurement instrument
96.
client learning
97.
Collaborative e-learning
98.
collaborative learning
99.
competence based learning
100.
competence learning
101.
competence-based learning
102.
competency based learning
103.
Component organised learning (COL)
104.
computer assisted language learning
105.
computer based learning
106.
computer-assisted language learning (CALL)
107.
cooperative reinforcement learning
108.
coping with online teaching and learning
109.
customer learning
110.
deep learning
111.
deep learning (DL)
112.
deep learning classifier
113.
deep learning model
114.
deep learning network
115.
deep reinforcement learning
116.
Deep reinforcing learning SDN
117.
Deep-learning
118.
deep-learning (DL)
119.
dictionary learning
120.
digital learning module
121.
Dimensions of Learning Organisation Questionnaire (DLOQ)
122.
distance learning
123.
distant learning
124.
distributed independent reinforcement learning
125.
double Q-learning
126.
effective teaching and learning
127.
e-learning
128.
e‐learning
129.
e-Learning course
130.
e-Learning database
131.
e-learning environment
132.
electronic learning
133.
embedded deep learning
134.
Emergency remote learning
135.
ensemble learning
136.
enterprising and entrepreneurial learning
137.
entrepreneurial learning
138.
entrepreneurial teaching and learning
139.
experiential learning
140.
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141.
federated learning (FL)
142.
flexible learning
143.
game based learning
144.
game-based learning
145.
guided in-service learning
146.
hands-on-learning
147.
history learning
148.
hybrid learning
149.
incremental learning
150.
inductive learning
151.
inductive learning algorithm
152.
interactive learning objects
153.
interdisciplinary learning
154.
inverse reinforcement learning
155.
investor learning
156.
iterative learning
157.
Learner-centered learning environment
158.
learning
159.
learning (artificial intelligence)
160.
learning activities
161.
learning adaptation in autonomous vehicles
162.
learning algorithm
163.
learning analysis
164.
learning analytics
165.
learning and experimentation
166.
learning and health outcomes
167.
learning and memory
168.
learning business school
169.
learning by teaching
170.
learning concept
171.
learning difficulties
172.
Learning environment
173.
learning experience
174.
learning infrastructures
175.
Learning Lab
176.
learning management
177.
learning management system
178.
learning management systems
179.
learning methodology
180.
learning metrics
181.
learning models
182.
learning motivation
183.
learning objectives
184.
learning objects
185.
learning organization
186.
learning orientation
187.
learning outcomes
188.
learning process
189.
learning processes
190.
learning rate
191.
learning rate dependence on ownership form
192.
learning rate of organization
193.
learning region
194.
learning situation
195.
learning software agents
196.
learning styles
197.
learning systems
198.
learning technologies
199.
learning theories
200.
learning through the questionnaires
201.
learning university
202.
learning-to-rank
203.
lifelong learning
204.
mathematics students learning habits
205.
Meaningful learning
206.
measuring learning
207.
mobile learning
208.
model learning
209.
Multi-agent reinforcement learning
210.
mutual learning
211.
new learning models
212.
node embedding learning
213.
NREN e-learning
214.
on-device transfer learning
215.
online learning
216.
ontologies for learning systems
217.
ontology learning
218.
organisational learning
219.
organizational learning
220.
organizational learning measurement instruments
221.
organizational learning rate dependence on management
222.
organizational learning rate measurement
223.
outcome oriented learning
224.
peer‐to‐peer learning group
225.
personalised learning
226.
policy learning
227.
problem-based learning
228.
Problem-based learning (PBL)
229.
project learning
230.
project-based learning
231.
Q-learning
232.
Q-learning algorithm
233.
query learning
234.
regional learning
235.
reinforcement learning
236.
Reinforcement Learning (RL)
237.
relative learning performance
238.
Remote learning
239.
research-oriented learning
240.
reusable learning objects
241.
scholarship of teaching and learning
242.
self learning software
243.
self learning system
244.
self-learning
245.
self-regulated learning
246.
semi-supervised learning
247.
smart learning
248.
smart learning environment
249.
social learning
250.
stochastic learning theory
251.
supervised learning
252.
supervised learning data
253.
task based learning
254.
team learning
255.
Technological learning
256.
the dimensions of the learning organisation
257.
the dimensions of the learning organization questionnaire (DLOQ)
258.
tools for interactive learning and teaching
259.
trans-disciplinary social-learning
260.
transfer learning
261.
true online reinforcement learning
262.
ubiquitous learning
263.
unsupervised learning
264.
urban learning center
265.
value of learning
266.
web and computerbased learning
267.
Web and computer-based learning
268.
virtual learning environment
269.
virtual learning factory
270.
work-based learning
271.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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