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76
artikkel kogumikus
On the estimation of complex circuits functional failure rate by machine learning techniques
Lange, Thomas
;
Balakrishnan, Aneesh
;
Glorieux, Maximilien
;
Alexandrescu, Dan
;
Sterpone, Luca
49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - DSN 2019 : Supplemental Volume : proceedings
2019
/
p. 35-41 : ill
https://doi.org/10.1109/DSN-S.2019.00021
artikkel kogumikus
Seotud publikatsioonid
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
77
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
On the relativity of time : implications and challenges of data drift on long-term effective android malware detection
Guerra Manzanares, Alejandro
;
Bahsi, Hayretdin
Computers & Security
2022
/
art. 102835, 15 p. : ill
https://doi.org/10.1016/j.cose.2022.102835
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
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
78
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Optimization of physical activity recognition for real-time wearable systems : effect of window length, sampling frequency and number of features
Allik, Ardo
;
Pilt, Kristjan
;
Karai, Deniss
;
Fridolin, Ivo
;
Leier, Mairo
;
Jervan, Gert
Applied sciences
2019
/
art. 4833, 14 p. : ill
https://doi.org/10.3390/app9224833
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
1
Advancing novel physical fatigue assessment and human activity monitoring methods towards perzonalized feedback with wearable sensors = Kantavatel seadmetel põhinevate füüsilise väsimuse hindamise ning inimese aktiivsuse monitoorimise meetodite arendamine personaalseks tagasisideks
79
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
An optimized metamodel for predicting damage and oil outflow in tanker collision accidents
Das, Tanmoy
;
Goerlandt, Floris
;
Tabri, Kristjan
Proceedings of the institution of mechanical engineers, part M: journal of engineering for the maritime environment
2022
/
14 p. : ill
https://doi.org/10.1177/14750902211039659
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
80
artikkel kogumikus EST
/
artikkel kogumikus ENG
Pattern based software architecture for predictive maintenance
Torim, Ants
;
Liiv, Innar
;
Ounoughi, Chahinez
;
Ben Yahia, Sadok
Nordic Artificial Intelligence Research and Development : 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31 - June 1, 2022 : revised selected papers
2022
/
p. 26-38
https://doi.org/10.1007/978-3-031-17030-0_3
Conference proceedings at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
81
artikkel kogumikus EST
/
artikkel kogumikus ENG
Predicting first-year computer science students drop-out with machine learning methods: A case study
Maksimova, Natalja
;
Pentel, Avar
;
Dunajeva, Olga
Educating Engineers for Future Industrial Revolutions : Proceedings of the 23rd International Conference on Interactive Collaborative Learning (ICL2020). Volume 2
2021
/
p. 719-726
https://doi.org/10.1007/978-3-030-68201-9_70
Conference proceedings at Scopus
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
82
artikkel kogumikus
Predicting students final test results based on previous grades and demographics
Pentel, Avar
;
Kaiva, Lisanne-Liis
The 11th International Conference on Information, Intelligence, Systems and Applications : IISA 2020, 15-17 July 2020, University of Piraeus, Greece
2020
/
p. 377-382
https://doi.org/10.1109/IISA50023.2020.9284401
artikkel kogumikus
83
artikkel ajakirjas EST
/
artikkel ajakirjas 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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
84
artikkel kogumikus
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
artikkel kogumikus
85
artikkel kogumikus
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
artikkel kogumikus
86
artikkel kogumikus
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
artikkel kogumikus
87
artikkel kogumikus
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
artikkel kogumikus
88
artikkel ajakirjas
A review on the application of machine learning in gamma spectroscopy : challenges and opportunities
Zehtabvar, Mehrnaz
;
Taghandiki, Kazem
;
Madani, Nahid
;
Sardari, Dariush
;
Bashiri, Bashir
Spectroscopy journal
2024
/
p. 123-144
https://doi.org/10.3390/spectroscj2030008
artikkel ajakirjas
89
artikkel kogumikus EST
/
artikkel kogumikus 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
artikkel kogumikus EST
/
artikkel kogumikus ENG
90
artikkel ajakirjas
Sea surface circulation in the Baltic Sea : decomposed components and pattern recognition
Barzandeh, Amirhossein
;
Maljutenko, Ilja
;
Rikka, Sander
;
Lagemaa, Priidik
;
Männik, Aarne
;
Uiboupin, Rivo
;
Raudsepp, Urmas
Scientific reports
2024
/
art. 18649
https://doi.org/10.1038/s41598-024-69463-8
artikkel ajakirjas
91
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Sentiment analysis for hotel reviews : a systematic literature review
Ameur, Asma
;
Hamdi, Sana
;
Ben Yahia, Sadok
ACM Computing Survey
2023
/
art. 51
https://doi.org/10.1145/3605152
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
92
artikkel ajakirjas EST
/
artikkel ajakirjas 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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
1
Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
93
artikkel kogumikus
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. : ill
https://doi.org/10.1109/EDPE58625.2023.10274030
artikkel kogumikus
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
94
artikkel ajakirjas EST
/
artikkel ajakirjas 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
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
1
IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks
95
artikkel kogumikus
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
artikkel kogumikus
96
artikkel kogumikus
Social, legal, and technical considerations for machine learning and artificial intelligence systems in government
Dreyling III, Richard Michael
;
Jackson, Eric Blake
;
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
artikkel kogumikus
Seotud publikatsioonid
1
Digital transformation : artificial intelligence enablement in public services = Digisiire ja tehisintellekti rakenduseeldused avalikes teenustes
97
artikkel kogumikus
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
artikkel kogumikus
98
artikkel ajakirjas
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
artikkel ajakirjas
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
99
artikkel ajakirjas
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
artikkel ajakirjas
Seotud publikatsioonid
1
Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe
100
artikkel kogumikus EST
/
artikkel kogumikus 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
artikkel kogumikus EST
/
artikkel kogumikus ENG
Kirjeid leitud 115, kuvan
76 - 100
eelmine
1
2
3
4
5
järgmine
võtmesõna
278
1.
adversarial machine learning
2.
adversarial machine-learning
3.
automatic machine learning (autoML)
4.
graph machine learning
5.
interpretable machine learning
6.
machine learning
7.
machine learning (ML)
8.
machine learning algorithms
9.
machine learning approach
10.
Machine Learning Explainable model
11.
machine learning for environmental applications
12.
machine learning models
13.
machine learning systems
14.
machine-learning
15.
machine-learning predictive model
16.
Parkinson’s disease machine learning
17.
robust machine learning
18.
small data machine learning
19.
supervised machine learning
20.
unsupervised machine learning
21.
machine-to-machine communications
22.
AC machine
23.
Algorithmic State Machine - ASM
24.
axial flux machine
25.
axial flux switched reluctance machine
26.
bearingless machine
27.
brushless machine
28.
coordinate measurring machine
29.
electric machine
30.
electric machine analysis computing
31.
electric machine control
32.
electrical machine
33.
electrical machine cooling
34.
electrical machine design
35.
finite state machine
36.
Finite State Machine - FSM
37.
hierarchical finite state machine
38.
human machine interaction
39.
human machine systems
40.
human-machine interaction
41.
human-machine interface
42.
human-machine system
43.
induction machine
44.
interior permanent magnet machine
45.
interior permanent-magnet synchronous machine (IPMSM)
46.
machine bearings
47.
machine condition monitoring
48.
machine control
49.
machine design
50.
machine elements
51.
machine error
52.
machine housing
53.
machine tools
54.
machine vector control
55.
machine windings
56.
machine vision
57.
machine-checked proofs
58.
machine-translation
59.
man-machine systems
60.
massive machine-type communication (mMTC)
61.
massive machine-type communications (mMTC)
62.
massive Machine-Type connections (mMTC)
63.
multi-class support vector machine (m-SVM)
64.
multi-machine
65.
multi-machine industrial power plant
66.
multi-machine power system
67.
multi-stream interaction machine
68.
outer-rotor machine
69.
permanent magnet (PM) synchronous machine
70.
permanent magnet flux-switching machine
71.
permanent magnet machine
72.
permanent magnet synchronous machine (PMSM)
73.
sewing machine operator
74.
state machine
75.
support vector machine
76.
surface permanent magnet machine (SPM)
77.
switched reluctance machine
78.
switched reluctance machine (SRM)
79.
synchronous machine
80.
TBM (tunnel boring machine)
81.
totally enclosed fan-cooled machine
82.
universal friction machine
83.
virtual synchronous machine
84.
active blended learning
85.
active learning
86.
active learning methods
87.
algorithm controlling the learning process
88.
appetitive associative learning
89.
approach to learning
90.
Attitude to learning
91.
authoritarian learning
92.
automata learning
93.
BIM-enabled learning
94.
BIM-enabled learning environment
95.
blended learning
96.
business school as learning organization
97.
business school learning organization questionnaire (BSLOQ)
98.
business school learning rate dependence on GPD
99.
business school learning rate measurement instrument
100.
client learning
101.
Collaborative e-learning
102.
collaborative learning
103.
competence based learning
104.
competence learning
105.
competence-based learning
106.
competency based learning
107.
Component organised learning (COL)
108.
computer assisted language learning
109.
computer based learning
110.
computer-assisted language learning (CALL)
111.
cooperative reinforcement learning
112.
coping with online teaching and learning
113.
customer learning
114.
deep learning
115.
deep learning (DL)
116.
deep learning classifier
117.
deep learning model
118.
deep learning model quantization
119.
deep learning network
120.
deep reinforcement learning
121.
Deep reinforcing learning SDN
122.
Deep-learning
123.
deep-learning (DL)
124.
dictionary learning
125.
digital learning module
126.
Dimensions of Learning Organisation Questionnaire (DLOQ)
127.
distance learning
128.
distant learning
129.
distributed independent reinforcement learning
130.
double Q-learning
131.
effective teaching and learning
132.
e-learning
133.
e‐learning
134.
e-Learning course
135.
e-Learning database
136.
e-learning environment
137.
electronic learning
138.
embedded deep learning
139.
Emergency remote learning
140.
ensemble learning
141.
enterprising and entrepreneurial learning
142.
entrepreneurial learning
143.
entrepreneurial teaching and learning
144.
experiential learning
145.
Federated learning
146.
federated learning (FL)
147.
flexible learning
148.
game based learning
149.
game-based learning
150.
guided in-service learning
151.
hands-on-learning
152.
history learning
153.
hybrid learning
154.
incremental learning
155.
inductive learning
156.
inductive learning algorithm
157.
interactive learning objects
158.
interdisciplinary learning
159.
inverse reinforcement learning
160.
investor learning
161.
iterative learning
162.
Learner-centered learning environment
163.
learning
164.
learning (artificial intelligence)
165.
learning activities
166.
learning adaptation in autonomous vehicles
167.
learning algorithm
168.
learning analysis
169.
learning analytics
170.
learning and experimentation
171.
learning and health outcomes
172.
learning and memory
173.
learning business school
174.
learning by teaching
175.
learning concept
176.
learning design
177.
learning difficulties
178.
Learning environment
179.
learning experience
180.
learning infrastructures
181.
Learning Lab
182.
learning management
183.
learning management system
184.
learning management systems
185.
learning methodology
186.
learning metrics
187.
learning models
188.
learning motivation
189.
learning objectives
190.
learning objects
191.
learning organization
192.
learning orientation
193.
learning outcomes
194.
learning process
195.
learning processes
196.
learning rate
197.
learning rate dependence on ownership form
198.
learning rate of organization
199.
learning region
200.
learning situation
201.
learning software agents
202.
learning styles
203.
learning systems
204.
learning technologies
205.
learning theories
206.
learning through the questionnaires
207.
learning university
208.
learning-to-rank
209.
lifelong learning
210.
mathematics students learning habits
211.
Meaningful learning
212.
measuring learning
213.
mobile learning
214.
model learning
215.
Multi-agent reinforcement learning
216.
mutual learning
217.
new learning models
218.
node embedding learning
219.
NREN e-learning
220.
on-device transfer learning
221.
online learning
222.
ontologies for learning systems
223.
ontology learning
224.
organisational learning
225.
organizational learning
226.
organizational learning measurement instruments
227.
organizational learning rate dependence on management
228.
organizational learning rate measurement
229.
outcome oriented learning
230.
peer‐to‐peer learning group
231.
personalised learning
232.
policy learning
233.
problem-based learning
234.
Problem-based learning (PBL)
235.
project learning
236.
project-based learning
237.
Q-learning
238.
Q-learning algorithm
239.
query learning
240.
regional learning
241.
reinforcement learning
242.
Reinforcement Learning (RL)
243.
relative learning performance
244.
Remote learning
245.
research-oriented learning
246.
reusable learning objects
247.
scholarship of teaching and learning
248.
self learning software
249.
self learning system
250.
self-learning
251.
self-regulated learning
252.
semi-supervised learning
253.
smart learning
254.
smart learning environment
255.
social learning
256.
stochastic learning theory
257.
supervised learning
258.
supervised learning data
259.
task based learning
260.
team learning
261.
Technological learning
262.
technology-enhanced learning
263.
the dimensions of the learning organisation
264.
the dimensions of the learning organization questionnaire (DLOQ)
265.
tools for interactive learning and teaching
266.
trans-disciplinary social-learning
267.
transfer learning
268.
true online reinforcement learning
269.
ubiquitous learning
270.
unsupervised learning
271.
urban learning center
272.
value of learning
273.
web and computerbased learning
274.
Web and computer-based learning
275.
virtual learning environment
276.
virtual learning factory
277.
work-based learning
278.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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