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1
artikkel ajakirjas
An advanced diagnostic approach for broken rotor bar detection and classification in DTC controlled induction motors by leveraging dynamic SHAP interaction feature selection (DSHAP-IFS) GBDT methodology
Khan, Muhammad Amir
;
Asad, Bilal
;
Vaimann, Toomas
;
Kallaste, Ants
Machines
2024
/
art. 495
https://doi.org/10.3390/machines12070495
artikkel ajakirjas
2
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Anomaly detection and classification in power system state estimation: Combining model-based and data-driven methods
Asefi, Sajjad
;
Mitrovic, Mile
;
Cetenovic, Dragan
;
Levi, Victor
;
Gryazina, Elena
;
Terzija, Vladimir
Sustainable energy, grids and networks
2023
/
art. 101116, 14 p. : ill
https://doi.org/10.1016/j.segan.2023.101116
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
3
artikkel ajakirjas
AI applications to enhance resilience in power systems and microgrids—A review
Zahraoui, Younes
;
Korõtko, Tarmo
;
Rosin, Argo
;
Mekhilef, Saad
;
Seyedmahmoudian, Mehdi
;
Stojcevski, Alex
;
Alhamrouni, Ibrahim
Sustainability
2024
/
art. 4959
https://doi.org/10.3390/su16124959
artikkel ajakirjas
4
artikkel kogumikus
Automatic NLOS classification from virtual 3D city models
Müürsepp, Ivo
;
Alam, Muhammad Mahtab
2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC)
2023
/
p. 190-195
https://doi.org/10.1109/FMEC59375.2023.10306158
artikkel kogumikus
5
raamat
Biomimetics
2024
https://www.mdpi.com/journal/biomimetics/special_issues/0K2292JW30
raamat
6
artikkel kogumikus
Challenges in using neural networks in safety-critical applications
Forsberg, H.
;
Linden, Jan
;
Hjorth, J.
;
Manefjord, T.
;
Daneshtalab, Masoud
AIAA/IEEE Digital Avionics Systems Conference - Proceedings,
2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), Virtual Conference, October 11-16, 2020 : Proceedings
2020
/
7 p
https://doi.org/10.1109/DASC50938.2020.9256519
artikkel kogumikus
7
artikkel ajakirjas
Comparative analysis of machine learning techniques for non-intrusive load monitoring
Shabbir, Noman
;
Vassiljeva, Kristina
;
Hokmabad, Hossein Nourollahi
;
Husev, Oleksandr
;
Petlenkov, Eduard
;
Belikov, Juri
Electronics
2024
/
art. 1420
https://doi.org/10.3390/electronics13081420
artikkel ajakirjas
8
artikkel kogumikus EST
/
artikkel kogumikus ENG
Conceptual challenges of researching Artificial Intelligence in public administrations
Noordt, Colin Pascal van
23rd Annual International Conference on Digital Government Research (DGO2022) : Intelligent Technologies, Governments and Citizens, June 15-17, 2022 : proceedings
2022
/
p. 183-190
https://doi.org/10.1145/3543434.3543441
Conference proceedings at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Public value creation with Artificial Intelligence technologies in public administration = Avaliku väärtuse loomine tehisintellekti tehnoloogiatega avalikus halduses
9
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
A current spectrum-based algorithm for fault detection of electrical machines using low-power data acquisition devices
Asad, Bilal
;
Raja, Hadi Ashraf
;
Vaimann, Toomas
;
Kallaste, Ants
;
Pomarnacki, Raimondas
;
Hyunh, Van Khang
Electronics
2023
/
art. 1746
https://doi.org/10.3390/electronics12071746
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
10
artikkel ajakirjas
DAAG-SNP: energy efficient distance and angulation based agglomerative clustering for sink node placement
Hanif, Maria
;
Ahmad, Rizwan
;
Ahmed, Waqas
;
Drieberg, Micheal
;
Alam, Muhammad Mahtab
IEEE Open Journal of the Communications Society
2024
/
p. 5013-5026
https://doi.org/10.1109/OJCOMS.2024.3421901
artikkel ajakirjas
11
raamat
Databases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings
2020
https://doi.org/10.1007/978-3-030-57672-1
raamat
12
artikkel ajakirjas
Data-driven baseline generation for post-retrofit energy saving assessment, a comparison of statistical and machine learning methods
Kuivjõgi, Helena
;
Vasman, Sofia
;
Petlenkov, Eduard
;
Thalfeldt, Martin
;
Kurnitski, Jarek
Journal of building engineering
2024
/
art. 111016
https://doi.org/10.1016/j.jobe.2024.111016
artikkel ajakirjas
13
artikkel kogumikus
Deep reinforcement learning for automated tuning of cavity filters
Sekhri, Even
;
Tamre, Mart
;
Kapoor, Rajiv
Proceedings of ieeeforum International Conference
2019
/
p. 53
http://www.digitalxplore.org/up_proc/pdf/408-154943387153.pdf
artikkel kogumikus
14
artikkel ajakirjas
Development and utilization of synthetic signals for fault diagnostics of electrical machines
Raja, Hadi Ashraf
;
Kudelina, Karolina
;
Asad, Bilal
;
Vaimann, Toomas
;
Rassõlkin, Anton
;
Kallaste, Ants
IEEE journal of emerging and selected topics in industrial electronics
2024
/
9 p
https://doi.org/10.1109/JESTIE.2024.3395650
artikkel ajakirjas
15
raamat
Digital Economy. Emerging Technologies and Business Innovation : 6th International Conference on Digital Economy, ICDEc 2021, Tallinn, Estonia, July 15–17, 2021 : proceedings
2021
https://doi.org/10.1007/978-3-030-92909-1
raamat
16
artikkel kogumikus
Digital twin simulations based reinforcement learning for navigation and control of a wheel-on-leg mobile robot
Alsaleh, Saleh Ragheb Saleh
;
Tepljakov, Aleksei
;
Tamre, Mart
;
Kuts, Vladimir
;
Petlenkov, Eduard
Proceedings of ASME 2022 International Mechanical Engineering Congress and Exposition (IMECE2022), 2B: Columbus, Ohio, USA, October 30 - November 3, 2022
2022
/
art. IMECE2022-95411, V02BT02A025, 8 p
https://doi.org/10.1115/IMECE2022-95411
artikkel kogumikus
Seotud publikatsioonid
1
Digital twin based computational methods for XR applications = Digitaalkaksikute põhised arvutuslikud meetodid XR rakenduste jaoks
17
artikkel kogumikus EST
/
artikkel kogumikus ENG
Distributed scalable association rule mining over Covid-19 data
Shahin, Mahtab
;
Inoubli, Wissem
;
Shah, Syed Attique
;
Ben Yahia, Sadok
;
Draheim, Dirk
Future Data and Security Engineering : 8th International Conference, FDSE 2021, Virtual Event, November 24–26, 2021 : proceedings
2021
/
p. 39-52
https://doi.org/10.1007/978-3-030-91387-8_3
Conference Proceedings at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Efficient and effective association rule mining on big data and cloud technology : a multifaceted analysis = Tõhus ja efektiivne assotsiatsioonireeglite kaevandamine suurandmetel ja pilvetehnoloogial : mitmekülgne analüüs
18
artikkel kogumikus
Effects of annotation quality on model performance
Alhazmi, Khaled
;
Alsumari, Walaa
;
Seppo, Indrek
;
Podkuiko, Lara
;
Simon, Martin
2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 13-16 April 2021
2021
/
p. 063–067
https://doi.org/10.1109/ICAIIC51459.2021.9415271
artikkel kogumikus
19
artikkel kogumikus EST
/
artikkel kogumikus ENG
Evaluation of data quality in the Estonian National Health Information System for digital decision support
Bertl, Markus
;
Kankainen, Kristian Juha Ismo
;
Piho, Gunnar
;
Draheim, Dirk
;
Ross, Peeter
Proceedings of the 3rd International Health Data Workshop (HEDA 2023) co-located with Software Technologies: Applications and Foundations (STAF 2023) : Leicester, United Kingdom, July 21, 2023. Vol. 3440
2023
/
paper 1, 13 p. : ill
https://ceur-ws.org/Vol-3440/paper1.pdf
Conference proceedings at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus 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
20
artikkel ajakirjas
Evaluation of deep learning-based depression detection using medical claims data
Bertl, Markus
;
Bignoumba, Nzamba
;
Ross, Peeter
;
Ben Yahia, Sadok
;
Draheim, Dirk
Artificial intelligence in medicine
2024
/
art. 102745, 16 p. : ill
https://doi.org/10.1016/j.artmed.2023.102745
artikkel ajakirjas
Seotud publikatsioonid
1
Predictive systems using machine learning tools to forecast adverse events during medical stays = Ennustavad süsteemid, mis kasutavad masinõppe vahendeid kõrvalekallete prognoosimiseks haiglas viibimise ajal
21
artikkel ajakirjas
Evaluation of deep learning-based depression detection using medical claims data : preprint
Bertl, Markus
;
Bignoumba, Nzamba
;
Ross, Peeter
;
Ben Yahia, Sadok
;
Draheim, Dirk
SSRN
2023
/
p. 1-34 : ill
https://doi.org/10.2139/ssrn.4478987
artikkel ajakirjas
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
22
artikkel kogumikus
Explainable AI based fault detection and diagnosis system for air handling units
Belikov, Juri
;
Meas, Molika
;
Machlev, Ram
;
Köse, Ahmet
;
Tepljakov, Aleksei
;
Loo, Lauri
;
Petlenkov, Eduard
;
Levron, Yoash
Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - ICINCO, 2022 , Lisbon, Portugal
2022
/
p. 271-279
https://doi.org/10.5220/0011350000003271
artikkel kogumikus
23
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
FedBranched : leveraging federated learning for anomaly-aware load forecasting in energy networks
Manzoor, Habib Ullah
;
Khan, Ahsan Raza
;
Flynn, David
;
Alam, Muhammad Mahtab
;
Akram, Muhammad
;
Imran, Muhammad Ali
;
Zoha, Ahmed
Sensors
2023
/
art. 3570
https://doi.org/10.3390/s23073570
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
24
artikkel kogumikus EST
/
artikkel kogumikus ENG
From sensors to Dempster-Shafer theory and back : the axiom of ambiguous sensor correctness and its applications
Draheim, Dirk
;
Tammet, Tanel
Database and Expert Systems Applications : 31st International Conference, DEXA 2020, Bratislava, Slovakia, September 14–17, 2020 : Proceedings, Part I
2020
/
p. 3-19
https://doi.org/10.1007/978-3-030-59003-1_1
Conference proceedings at Scopus
Article at Scopus
Conference proceedings at WOS
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
25
artikkel ajakirjas
Machine learning assisted design of high-entropy alloys with ultra-high microhardness and unexpected low density
Zhao, Shunli
;
Jiang, Bin
;
Song, Kaikai
;
Liu, Xiaoming
;
Wang, Wenyu
;
Si, Dekun
;
Zhang, Jilei
;
Chen, Xiangyan
;
Zhou, Changshan
;
Liu, Pingping
;
Chen, Dong
;
Zhang, Zequn
;
Ramasamy, Parthiban
;
Tang, Junlei
;
Lv, Wenquan
;
Prashanth, Konda Gokuldoss
;
Sopu, Daniel
;
Eckert, Jurgen
Materials & design
2024
/
art. 112634
https://doi.org/10.1016/j.matdes.2024.112634
artikkel ajakirjas
Kirjeid leitud 55, kuvan
1 - 25
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võtmesõna
283
1.
machine learning (ML)
2.
adversarial machine learning
3.
adversarial machine-learning
4.
automatic machine learning (autoML)
5.
graph machine learning
6.
interpretable machine learning
7.
machine learning
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.
AI/ML
23.
double ML
24.
Mittag-Leffler (ML) function
25.
ML bias
26.
ML ethics
27.
AC machine
28.
Algorithmic State Machine - ASM
29.
axial flux machine
30.
axial flux switched reluctance machine
31.
bearingless machine
32.
brushless machine
33.
coordinate measurring machine
34.
electric machine
35.
electric machine analysis computing
36.
electric machine control
37.
electrical machine
38.
electrical machine cooling
39.
electrical machine design
40.
finite state machine
41.
Finite State Machine - FSM
42.
hierarchical finite state machine
43.
human machine interaction
44.
human machine systems
45.
human-machine interaction
46.
human-machine interface
47.
human-machine system
48.
induction machine
49.
interior permanent magnet machine
50.
interior permanent-magnet synchronous machine (IPMSM)
51.
machine bearings
52.
machine condition monitoring
53.
machine control
54.
machine design
55.
machine elements
56.
machine error
57.
machine housing
58.
machine tools
59.
machine vector control
60.
machine windings
61.
machine vision
62.
machine-checked proofs
63.
machine-translation
64.
man-machine systems
65.
massive machine-type communication (mMTC)
66.
massive machine-type communications (mMTC)
67.
massive Machine-Type connections (mMTC)
68.
multi-class support vector machine (m-SVM)
69.
multi-machine
70.
multi-machine industrial power plant
71.
multi-machine power system
72.
multi-stream interaction machine
73.
outer-rotor machine
74.
permanent magnet (PM) synchronous machine
75.
permanent magnet flux-switching machine
76.
permanent magnet machine
77.
permanent magnet synchronous machine (PMSM)
78.
sewing machine operator
79.
state machine
80.
support vector machine
81.
surface permanent magnet machine (SPM)
82.
switched reluctance machine
83.
switched reluctance machine (SRM)
84.
synchronous machine
85.
TBM (tunnel boring machine)
86.
totally enclosed fan-cooled machine
87.
universal friction machine
88.
virtual synchronous machine
89.
active blended learning
90.
active learning
91.
active learning methods
92.
algorithm controlling the learning process
93.
appetitive associative learning
94.
approach to learning
95.
Attitude to learning
96.
authoritarian learning
97.
automata learning
98.
BIM-enabled learning
99.
BIM-enabled learning environment
100.
blended learning
101.
business school as learning organization
102.
business school learning organization questionnaire (BSLOQ)
103.
business school learning rate dependence on GPD
104.
business school learning rate measurement instrument
105.
client learning
106.
Collaborative e-learning
107.
collaborative learning
108.
competence based learning
109.
competence learning
110.
competence-based learning
111.
competency based learning
112.
Component organised learning (COL)
113.
computer assisted language learning
114.
computer based learning
115.
computer-assisted language learning (CALL)
116.
cooperative reinforcement learning
117.
coping with online teaching and learning
118.
customer learning
119.
deep learning
120.
deep learning (DL)
121.
deep learning classifier
122.
deep learning model
123.
deep learning model quantization
124.
deep learning network
125.
deep reinforcement learning
126.
Deep reinforcing learning SDN
127.
Deep-learning
128.
deep-learning (DL)
129.
dictionary learning
130.
digital learning module
131.
Dimensions of Learning Organisation Questionnaire (DLOQ)
132.
distance learning
133.
distant learning
134.
distributed independent reinforcement learning
135.
double Q-learning
136.
effective teaching and learning
137.
e-learning
138.
e‐learning
139.
e-Learning course
140.
e-Learning database
141.
e-learning environment
142.
electronic learning
143.
embedded deep learning
144.
Emergency remote learning
145.
ensemble learning
146.
enterprising and entrepreneurial learning
147.
entrepreneurial learning
148.
entrepreneurial teaching and learning
149.
experiential learning
150.
Federated learning
151.
federated learning (FL)
152.
flexible learning
153.
game based learning
154.
game-based learning
155.
guided in-service learning
156.
hands-on-learning
157.
history learning
158.
hybrid learning
159.
incremental learning
160.
inductive learning
161.
inductive learning algorithm
162.
interactive learning objects
163.
interdisciplinary learning
164.
inverse reinforcement learning
165.
investor learning
166.
iterative learning
167.
Learner-centered learning environment
168.
learning
169.
learning (artificial intelligence)
170.
learning activities
171.
learning adaptation in autonomous vehicles
172.
learning algorithm
173.
learning analysis
174.
learning analytics
175.
learning and experimentation
176.
learning and health outcomes
177.
learning and memory
178.
learning business school
179.
learning by teaching
180.
learning concept
181.
learning design
182.
learning difficulties
183.
Learning environment
184.
learning experience
185.
learning infrastructures
186.
Learning Lab
187.
learning management
188.
learning management system
189.
learning management systems
190.
learning methodology
191.
learning metrics
192.
learning models
193.
learning motivation
194.
learning objectives
195.
learning objects
196.
learning organization
197.
learning orientation
198.
learning outcomes
199.
learning process
200.
learning processes
201.
learning rate
202.
learning rate dependence on ownership form
203.
learning rate of organization
204.
learning region
205.
learning situation
206.
learning software agents
207.
learning styles
208.
learning systems
209.
learning technologies
210.
learning theories
211.
learning through the questionnaires
212.
learning university
213.
learning-to-rank
214.
lifelong learning
215.
mathematics students learning habits
216.
Meaningful learning
217.
measuring learning
218.
mobile learning
219.
model learning
220.
Multi-agent reinforcement learning
221.
mutual learning
222.
new learning models
223.
node embedding learning
224.
NREN e-learning
225.
on-device transfer learning
226.
online learning
227.
ontologies for learning systems
228.
ontology learning
229.
organisational learning
230.
organizational learning
231.
organizational learning measurement instruments
232.
organizational learning rate dependence on management
233.
organizational learning rate measurement
234.
outcome oriented learning
235.
peer‐to‐peer learning group
236.
personalised learning
237.
policy learning
238.
problem-based learning
239.
Problem-based learning (PBL)
240.
project learning
241.
project-based learning
242.
Q-learning
243.
Q-learning algorithm
244.
query learning
245.
regional learning
246.
reinforcement learning
247.
Reinforcement Learning (RL)
248.
relative learning performance
249.
Remote learning
250.
research-oriented learning
251.
reusable learning objects
252.
scholarship of teaching and learning
253.
self learning software
254.
self learning system
255.
self-learning
256.
self-regulated learning
257.
semi-supervised learning
258.
smart learning
259.
smart learning environment
260.
social learning
261.
stochastic learning theory
262.
supervised learning
263.
supervised learning data
264.
task based learning
265.
team learning
266.
Technological learning
267.
technology-enhanced learning
268.
the dimensions of the learning organisation
269.
the dimensions of the learning organization questionnaire (DLOQ)
270.
tools for interactive learning and teaching
271.
trans-disciplinary social-learning
272.
transfer learning
273.
true online reinforcement learning
274.
ubiquitous learning
275.
unsupervised learning
276.
urban learning center
277.
value of learning
278.
web and computerbased learning
279.
Web and computer-based learning
280.
virtual learning environment
281.
virtual learning factory
282.
work-based learning
283.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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