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126
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
127
journal article
Smartphone-based microkinematic feature analysis for mental fatigue detection using machine learning
Valla, Elli
;
Väli, Lilian
;
Nõmm, Sven
;
Toomela, Aaro
Cognition, Technology & Work
2025
/
32 p. : ill
https://doi.org/10.21203/rs.3.rs-6601096/v1
journal article
Related publications
1
Leveraging artificial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks
128
book article
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
book article
Related publications
1
Digital transformation : artificial intelligence enablement in public services = Digisiire ja tehisintellekti rakenduseeldused avalikes teenustes
129
book article EST
/
book article ENG
Special session: in-field ML-assisted intermittent fault localization and management in RISC-V SoCs
Selg, Hardi
;
Shibin, Konstantin
;
Tsertov, Anton
;
Jenihhin, Maksim
;
Ellervee, Peeter
;
Raik, Jaan
2024 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)
2024
https://doi.org/10.1109/DFT63277.2024.10753541
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
130
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
131
journal article EST
/
journal article ENG
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
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
132
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
https://doi.org/10.2139/ssrn.4399331
journal article
Related publications
1
Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe
133
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
Related publications
1
Development of methods for real-time in-step anomaly detection in gait analysis = Reaalajaliste meetodite arendus sammusiseste kõrvalkallete tuvastamiseks kõnnianalüüsis
134
book article EST
/
book article ENG
Synthetic Data-Driven Detection of Broken Rotor Bars in Induction Machines Under Adjusted Noise Level
Nuha, Nurjahan Amin
;
Siddik Injam, Md Tanbir
;
El Bouharrouti, Nada
;
Hemeida, Ahmed
;
Kudelina, Karolina
;
Naseer, Muhammad Usman
;
Belahcen, Anouar
2025 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)
2025
/
6 p
https://doi.org/10.1109/WEMDCD61816.2025.11014141
book article EST
/
book article ENG
135
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
Related publications
1
Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik
136
journal article EST
/
journal article ENG
A systematic review of cutting-edge radar technologies : applications for unmanned ground vehicles (UGVs)
Ersü, Can
;
Petlenkov, Eduard
;
Janson, Karl
Sensors
2024
/
art. 7807
https://doi.org/10.3390/s24237807
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
137
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
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Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
138
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
Related publications
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
139
journal article EST
/
journal article ENG
Towards a machine learning-based framework for DDOS attack detection in software-defined IoT (SD-IoT) networks
Bhayo, Jalal
;
Shah, Syed Attique
;
Hameed, Sufian
;
Ahmed, Awais
;
Nasir, Jamal
;
Draheim, Dirk
Engineering Applications of Artificial Intelligence
2023
/
art. 106432
https://doi.org/10.1016/j.engappai.2023.106432
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
140
journal article EST
/
journal article ENG
Towards a smarter charging infrastructure : real-time availability forecasting for EVs
Manai, Meriem
;
Sellami, Bassem
;
Ben Yahia, Sadok
Procedia Computer Science
2024
/
p. 930 - 939
https://doi.org/10.1016/j.procs.2024.09.512
Conference proceedings at Scopus
Article at Scopus
journal article EST
/
journal article ENG
141
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
Related publications
1
Digital twin based computational methods for XR applications = Digitaalkaksikute põhised arvutuslikud meetodid XR rakenduste jaoks
142
journal article EST
/
journal article ENG
Towards generation of synthetic data sets for hybrid conflict modelling
Nõmm, Sven
;
Venables, Adrian Nicholas
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
143
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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
144
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
Related publications
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
145
journal article EST
/
journal article ENG
Transforming fatigue assessment : smartphone-based system with digitized motor skill tests
Valla, Elli
;
Toose, Ain-Joonas
;
Nõmm, Sven
;
Toomela, Aaro
International Journal of Medical Informatics
2023
/
art. 105152
https://doi.org/10.1016/j.ijmedinf.2023.105152
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Leveraging artificial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks
146
journal article EST
/
journal article ENG
Tree-based ensemble multi-task learning method for classification and regression
Simm, Jaak
;
Magrans De Abril, Ildefons
;
Sugiyma, Masashi
IEICE transactions on information and systems
2014
/
p. 1677-1681
https://doi.org/10.1587/transinf.E97.D.1677
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
147
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
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Leveraging artificial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks
148
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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
149
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
Related publications
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
150
book article EST
/
book article ENG
Using MedBIoT dataset to build effective machine learning-based IoT botnet detection systems
Guerra Manzanares, Alejandro
;
Medina-Galindo, Jorge
;
Bahsi, Hayretdin
;
Nõmm, Sven
Information Systems Security and Privacy : 6th International Conference, ICISSP 2020, Valletta, Malta, February 25–27, 2020 : revised selected papers
2022
/
p. 222–243
https://doi.org/10.1007/978-3-030-94900-6_11
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
Related publications
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
Number of records 154, displaying
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331
1.
adversarial machine learning
2.
adversarial machine-learning
3.
automatic machine learning (autoML)
4.
data analytics and machine learning
5.
explainable machine learning
6.
graph machine learning
7.
interpretable machine learning
8.
machine learning
9.
machine learning (ML)
10.
machine learning algorithms
11.
machine learning applications in power systems
12.
machine learning approach
13.
Machine Learning Explainable model
14.
machine learning for environmental applications
15.
machine learning models
16.
machine learning systems
17.
machine-learning
18.
machine-learning predictive model
19.
Parkinson’s disease machine learning
20.
probability-informed machine learning
21.
robust machine learning
22.
small data machine learning
23.
supervised machine learning
24.
unsupervised machine learning
25.
machine-to-machine communications
26.
AC machine
27.
Algorithmic State Machine - ASM
28.
axial flux machine
29.
axial flux switched reluctance machine
30.
bearingless machine
31.
brushless machine
32.
coordinate measurring machine
33.
electric machine
34.
electric machine analysis computing
35.
electric machine control
36.
electrical machine
37.
electrical machine cooling
38.
electrical machine design
39.
finite state machine
40.
Finite State Machine - FSM
41.
flux switching machine
42.
hierarchical finite state machine
43.
high-frequency machine modeling
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.
logic machine
54.
low-resource machine translation
55.
machine bearings
56.
machine condition monitoring
57.
machine control
58.
machine design
59.
machine elements
60.
machine error
61.
machine housing
62.
machine tools
63.
machine translation
64.
machine vector control
65.
machine windings
66.
machine vision
67.
machine-checked proofs
68.
machine-translation
69.
man-machine systems
70.
massive machine type communication (mMTC)
71.
massive machine-type communication (mMTC)
72.
massive machine-type communication devices (mMTC)
73.
massive machine-type communications (mMTC)
74.
massive Machine-Type connections (mMTC)
75.
multi-class support vector machine (m-SVM)
76.
multi-machine
77.
multi-machine industrial power plant
78.
multi-machine power system
79.
multi-stream interaction machine
80.
neural machine translation
81.
outer-rotor machine
82.
permanent magnet (PM) synchronous machine
83.
permanent magnet flux-switching machine
84.
permanent magnet machine
85.
permanent magnet synchronous machine (PMSM)
86.
reluctance machine
87.
sewing machine operator
88.
spoke-type PM machine
89.
state machine
90.
support vector machine
91.
surface permanent magnet machine (SPM)
92.
switched reluctance machine
93.
switched reluctance machine (SRM)
94.
synchronous machine
95.
TBM (tunnel boring machine)
96.
totally enclosed fan-cooled machine
97.
universal friction machine
98.
virtual synchronous machine
99.
active blended learning
100.
active learning
101.
active learning and engagement
102.
active learning methods
103.
adaptive learning
104.
algorithm controlling the learning process
105.
appetitive associative learning
106.
approach to learning
107.
Artificial Intelligence in learning
108.
Attitude to learning
109.
authoritarian learning
110.
automata learning
111.
bayesian learning
112.
BIM-enabled learning
113.
BIM-enabled learning environment
114.
biophilic learning environments
115.
blended learning
116.
business school as learning organization
117.
business school learning organization questionnaire (BSLOQ)
118.
business school learning rate dependence on GPD
119.
business school learning rate measurement instrument
120.
challenge-based learning
121.
Challenge-Based Learning (CBL)
122.
city-to-city learning
123.
client learning
124.
Collaborative e-learning
125.
collaborative learning
126.
competence based learning
127.
competence learning
128.
competence-based learning
129.
competency based learning
130.
Component organised learning (COL)
131.
computer assisted language learning
132.
computer based learning
133.
computer-assisted language learning (CALL)
134.
contrastive learning
135.
cooperative reinforcement learning
136.
coping with online teaching and learning
137.
customer learning
138.
deep learning
139.
deep learning (DL)
140.
deep learning classifier
141.
deep learning method
142.
deep learning methods
143.
deep learning model
144.
deep learning model quantization
145.
deep learning network
146.
deep reinforcement learning
147.
Deep reinforcing learning SDN
148.
Deep-learning
149.
deep-learning (DL)
150.
dictionary learning
151.
digital learning module
152.
digital remote learning
153.
Dimensions of Learning Organisation Questionnaire (DLOQ)
154.
distance learning
155.
distant learning
156.
distributed independent reinforcement learning
157.
double Q-learning
158.
effective teaching and learning
159.
e-learning
160.
e‐learning
161.
e-Learning course
162.
e-Learning database
163.
e-learning environment
164.
electronic learning
165.
embedded deep learning
166.
Emergency remote learning
167.
ensemble learning
168.
enterprising and entrepreneurial learning
169.
entrepreneurial learning
170.
entrepreneurial teaching and learning
171.
ESG-learning
172.
experiential learning
173.
Federated learning
174.
federated learning (FL)
175.
flexible learning
176.
game based learning
177.
game-based learning
178.
Gamified learning
179.
guided in-service learning
180.
hands-on-learning
181.
history learning
182.
horizontal federated learning
183.
human-centred learning
184.
hybrid learning
185.
Immersive Learning
186.
inclusive learning
187.
incremental learning
188.
inductive learning
189.
inductive learning algorithm
190.
interactive learning objects
191.
interdisciplinary learning
192.
inverse reinforcement learning
193.
investor learning
194.
iterative learning
195.
Kolb’s experiential learning cycle
196.
language learning
197.
Learner-centered learning environment
198.
learning
199.
learning (artificial intelligence)
200.
learning activities
201.
learning adaptation in autonomous vehicles
202.
learning algorithm
203.
learning analysis
204.
learning analytics
205.
learning and experimentation
206.
learning and health outcomes
207.
learning and memory
208.
learning business school
209.
learning by teaching
210.
learning concept
211.
learning content
212.
learning design
213.
learning difficulties
214.
Learning environment
215.
learning experience
216.
learning factory
217.
Learning from Demonstration
218.
learning infrastructures
219.
Learning Lab
220.
learning management
221.
learning management system
222.
learning management systems
223.
learning methodology
224.
learning metrics
225.
learning models
226.
learning motivation
227.
learning objectives
228.
learning objects
229.
learning organization
230.
learning orientation
231.
learning outcomes
232.
learning process
233.
learning processes
234.
learning rate
235.
learning rate dependence on ownership form
236.
learning rate of organization
237.
learning region
238.
learning situation
239.
learning software agents
240.
learning styles
241.
learning systems
242.
learning technologies
243.
learning theories
244.
learning through the questionnaires
245.
learning university
246.
learning-to-rank
247.
lifelong learning
248.
long-short term learning
249.
mathematics students learning habits
250.
Meaningful learning
251.
measuring learning
252.
mobile learning
253.
model learning
254.
Multi-agent deep reinforcement learning
255.
Multi-agent reinforcement learning
256.
multi-task learning
257.
mutual learning
258.
new learning models
259.
node embedding learning
260.
NREN e-learning
261.
on-device transfer learning
262.
online learning
263.
ontologies for learning systems
264.
ontology learning
265.
Open Learning Resources (OLR)
266.
organisational learning
267.
organizational learning
268.
organizational learning measurement instruments
269.
organizational learning rate dependence on management
270.
organizational learning rate measurement
271.
outcome oriented learning
272.
peer‐to‐peer learning group
273.
personalised learning
274.
personalized learning
275.
policy learning
276.
problem-based learning
277.
Problem-based learning (PBL)
278.
project learning
279.
project-based learning
280.
Q-learning
281.
Q-learning algorithm
282.
query learning
283.
regional learning
284.
reinforcement learning
285.
Reinforcement Learning (RL)
286.
relative learning performance
287.
Remote learning
288.
research-oriented learning
289.
reusable learning objects
290.
scholarship of teaching and learning
291.
self learning software
292.
self learning system
293.
self-learning
294.
self-regulated learning
295.
semi-supervised learning
296.
sequence of learning activities
297.
sequence to sequence learning
298.
sequential learning
299.
SIS problem, learning with errors
300.
smart learning
301.
smart learning environment
302.
social learning
303.
socio-emotional learning
304.
stochastic learning theory
305.
student centred learning
306.
supervised contrastive learning
307.
supervised learning
308.
supervised learning data
309.
synchronous hybrid learning
310.
zero-shot learning
311.
task based learning
312.
team learning
313.
Technological learning
314.
technology-enhanced learning
315.
the dimensions of the learning organisation
316.
the dimensions of the learning organization questionnaire (DLOQ)
317.
tools for interactive learning and teaching
318.
trans-disciplinary social-learning
319.
transfer learning
320.
true online reinforcement learning
321.
ubiquitous learning
322.
unsupervised learning
323.
urban learning center
324.
value of learning
325.
web and computerbased learning
326.
Web and computer-based learning
327.
virtual collaborative learning environment (VCLE)
328.
virtual learning environment
329.
virtual learning factory
330.
work-based learning
331.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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