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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
Journal metrics at WOS
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
eelmine
1
2
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järgmine
võtmesõna
292
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.
ML-DSA
28.
AC machine
29.
Algorithmic State Machine - ASM
30.
axial flux machine
31.
axial flux switched reluctance machine
32.
bearingless machine
33.
brushless machine
34.
coordinate measurring machine
35.
electric machine
36.
electric machine analysis computing
37.
electric machine control
38.
electrical machine
39.
electrical machine cooling
40.
electrical machine design
41.
finite state machine
42.
Finite State Machine - FSM
43.
hierarchical finite state machine
44.
human machine interaction
45.
human machine systems
46.
human-machine interaction
47.
human-machine interactions
48.
human-machine interface
49.
human-machine system
50.
induction machine
51.
interior permanent magnet machine
52.
interior permanent-magnet synchronous machine (IPMSM)
53.
machine bearings
54.
machine condition monitoring
55.
machine control
56.
machine design
57.
machine elements
58.
machine error
59.
machine housing
60.
machine tools
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.
outer-rotor machine
77.
permanent magnet (PM) synchronous machine
78.
permanent magnet flux-switching machine
79.
permanent magnet machine
80.
permanent magnet synchronous machine (PMSM)
81.
reluctance machine
82.
sewing machine operator
83.
state machine
84.
support vector machine
85.
surface permanent magnet machine (SPM)
86.
switched reluctance machine
87.
switched reluctance machine (SRM)
88.
synchronous machine
89.
TBM (tunnel boring machine)
90.
totally enclosed fan-cooled machine
91.
universal friction machine
92.
virtual synchronous machine
93.
active blended learning
94.
active learning
95.
active learning methods
96.
algorithm controlling the learning process
97.
appetitive associative learning
98.
approach to learning
99.
Attitude to learning
100.
authoritarian learning
101.
automata learning
102.
BIM-enabled learning
103.
BIM-enabled learning environment
104.
blended learning
105.
business school as learning organization
106.
business school learning organization questionnaire (BSLOQ)
107.
business school learning rate dependence on GPD
108.
business school learning rate measurement instrument
109.
client learning
110.
Collaborative e-learning
111.
collaborative learning
112.
competence based learning
113.
competence learning
114.
competence-based learning
115.
competency based learning
116.
Component organised learning (COL)
117.
computer assisted language learning
118.
computer based learning
119.
computer-assisted language learning (CALL)
120.
cooperative reinforcement learning
121.
coping with online teaching and learning
122.
customer learning
123.
deep learning
124.
deep learning (DL)
125.
deep learning classifier
126.
deep learning model
127.
deep learning model quantization
128.
deep learning network
129.
deep reinforcement learning
130.
Deep reinforcing learning SDN
131.
Deep-learning
132.
deep-learning (DL)
133.
dictionary learning
134.
digital learning module
135.
digital remote learning
136.
Dimensions of Learning Organisation Questionnaire (DLOQ)
137.
distance learning
138.
distant learning
139.
distributed independent reinforcement learning
140.
double Q-learning
141.
effective teaching and learning
142.
e-learning
143.
e‐learning
144.
e-Learning course
145.
e-Learning database
146.
e-learning environment
147.
electronic learning
148.
embedded deep learning
149.
Emergency remote learning
150.
ensemble learning
151.
enterprising and entrepreneurial learning
152.
entrepreneurial learning
153.
entrepreneurial teaching and learning
154.
experiential learning
155.
Federated learning
156.
federated learning (FL)
157.
flexible learning
158.
game based learning
159.
game-based learning
160.
guided in-service learning
161.
hands-on-learning
162.
history learning
163.
horizontal federated learning
164.
hybrid learning
165.
incremental learning
166.
inductive learning
167.
inductive learning algorithm
168.
interactive learning objects
169.
interdisciplinary learning
170.
inverse reinforcement learning
171.
investor learning
172.
iterative learning
173.
Kolb’s experiential learning cycle
174.
Learner-centered learning environment
175.
learning
176.
learning (artificial intelligence)
177.
learning activities
178.
learning adaptation in autonomous vehicles
179.
learning algorithm
180.
learning analysis
181.
learning analytics
182.
learning and experimentation
183.
learning and health outcomes
184.
learning and memory
185.
learning business school
186.
learning by teaching
187.
learning concept
188.
learning design
189.
learning difficulties
190.
Learning environment
191.
learning experience
192.
learning infrastructures
193.
Learning Lab
194.
learning management
195.
learning management system
196.
learning management systems
197.
learning methodology
198.
learning metrics
199.
learning models
200.
learning motivation
201.
learning objectives
202.
learning objects
203.
learning organization
204.
learning orientation
205.
learning outcomes
206.
learning process
207.
learning processes
208.
learning rate
209.
learning rate dependence on ownership form
210.
learning rate of organization
211.
learning region
212.
learning situation
213.
learning software agents
214.
learning styles
215.
learning systems
216.
learning technologies
217.
learning theories
218.
learning through the questionnaires
219.
learning university
220.
learning-to-rank
221.
lifelong learning
222.
mathematics students learning habits
223.
Meaningful learning
224.
measuring learning
225.
mobile learning
226.
model learning
227.
Multi-agent reinforcement learning
228.
mutual learning
229.
new learning models
230.
node embedding learning
231.
NREN e-learning
232.
on-device transfer learning
233.
online learning
234.
ontologies for learning systems
235.
ontology learning
236.
organisational learning
237.
organizational learning
238.
organizational learning measurement instruments
239.
organizational learning rate dependence on management
240.
organizational learning rate measurement
241.
outcome oriented learning
242.
peer‐to‐peer learning group
243.
personalised learning
244.
policy learning
245.
problem-based learning
246.
Problem-based learning (PBL)
247.
project learning
248.
project-based learning
249.
Q-learning
250.
Q-learning algorithm
251.
query learning
252.
regional learning
253.
reinforcement learning
254.
Reinforcement Learning (RL)
255.
relative learning performance
256.
Remote learning
257.
research-oriented learning
258.
reusable learning objects
259.
scholarship of teaching and learning
260.
self learning software
261.
self learning system
262.
self-learning
263.
self-regulated learning
264.
semi-supervised learning
265.
smart learning
266.
smart learning environment
267.
social learning
268.
stochastic learning theory
269.
supervised learning
270.
supervised learning data
271.
zero-shot learning
272.
task based learning
273.
team learning
274.
Technological learning
275.
technology-enhanced learning
276.
the dimensions of the learning organisation
277.
the dimensions of the learning organization questionnaire (DLOQ)
278.
tools for interactive learning and teaching
279.
trans-disciplinary social-learning
280.
transfer learning
281.
true online reinforcement learning
282.
ubiquitous learning
283.
unsupervised learning
284.
urban learning center
285.
value of learning
286.
web and computerbased learning
287.
Web and computer-based learning
288.
virtual collaborative learning environment (VCLE)
289.
virtual learning environment
290.
virtual learning factory
291.
work-based learning
292.
workplace learning
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1
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ELIXIR Machine Learning Focus Group
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1
1.
UNDP Urban Learning Center
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