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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
291
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.
hybrid learning
164.
incremental learning
165.
inductive learning
166.
inductive learning algorithm
167.
interactive learning objects
168.
interdisciplinary learning
169.
inverse reinforcement learning
170.
investor learning
171.
iterative learning
172.
Kolb’s experiential learning cycle
173.
Learner-centered learning environment
174.
learning
175.
learning (artificial intelligence)
176.
learning activities
177.
learning adaptation in autonomous vehicles
178.
learning algorithm
179.
learning analysis
180.
learning analytics
181.
learning and experimentation
182.
learning and health outcomes
183.
learning and memory
184.
learning business school
185.
learning by teaching
186.
learning concept
187.
learning design
188.
learning difficulties
189.
Learning environment
190.
learning experience
191.
learning infrastructures
192.
Learning Lab
193.
learning management
194.
learning management system
195.
learning management systems
196.
learning methodology
197.
learning metrics
198.
learning models
199.
learning motivation
200.
learning objectives
201.
learning objects
202.
learning organization
203.
learning orientation
204.
learning outcomes
205.
learning process
206.
learning processes
207.
learning rate
208.
learning rate dependence on ownership form
209.
learning rate of organization
210.
learning region
211.
learning situation
212.
learning software agents
213.
learning styles
214.
learning systems
215.
learning technologies
216.
learning theories
217.
learning through the questionnaires
218.
learning university
219.
learning-to-rank
220.
lifelong learning
221.
mathematics students learning habits
222.
Meaningful learning
223.
measuring learning
224.
mobile learning
225.
model learning
226.
Multi-agent reinforcement learning
227.
mutual learning
228.
new learning models
229.
node embedding learning
230.
NREN e-learning
231.
on-device transfer learning
232.
online learning
233.
ontologies for learning systems
234.
ontology learning
235.
organisational learning
236.
organizational learning
237.
organizational learning measurement instruments
238.
organizational learning rate dependence on management
239.
organizational learning rate measurement
240.
outcome oriented learning
241.
peer‐to‐peer learning group
242.
personalised learning
243.
policy learning
244.
problem-based learning
245.
Problem-based learning (PBL)
246.
project learning
247.
project-based learning
248.
Q-learning
249.
Q-learning algorithm
250.
query learning
251.
regional learning
252.
reinforcement learning
253.
Reinforcement Learning (RL)
254.
relative learning performance
255.
Remote learning
256.
research-oriented learning
257.
reusable learning objects
258.
scholarship of teaching and learning
259.
self learning software
260.
self learning system
261.
self-learning
262.
self-regulated learning
263.
semi-supervised learning
264.
smart learning
265.
smart learning environment
266.
social learning
267.
stochastic learning theory
268.
supervised learning
269.
supervised learning data
270.
zero-shot learning
271.
task based learning
272.
team learning
273.
Technological learning
274.
technology-enhanced learning
275.
the dimensions of the learning organisation
276.
the dimensions of the learning organization questionnaire (DLOQ)
277.
tools for interactive learning and teaching
278.
trans-disciplinary social-learning
279.
transfer learning
280.
true online reinforcement learning
281.
ubiquitous learning
282.
unsupervised learning
283.
urban learning center
284.
value of learning
285.
web and computerbased learning
286.
Web and computer-based learning
287.
virtual collaborative learning environment (VCLE)
288.
virtual learning environment
289.
virtual learning factory
290.
work-based learning
291.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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