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26
journal article EST
/
journal article ENG
An Improved Hybrid Lightweight Approach for Bearing Fault Detection and Classification in Three-Phase Squirrel Cage Induction Motors
Khan, Muhammad Amir
;
Asad, Bilal
;
Naseer, Muhammad Usman
;
Vaimann, Toomas
;
Kallaste, Ants
Machines
2026
/
art. 68
https://doi.org/10.3390/machines14010068
journal article EST
/
journal article ENG
27
book article
Improving transparency and explainability of deep learning based IoT botnet detection using explainable artificial intelligence (XAI)
Kalakoti, Rajesh
;
Nõmm, Sven
;
Bahsi, Hayretdin
22nd IEEE International Conference on Machine Learning and Applications : ICMLA 2023 : 15-17 December 2023, Jacksonville Riverfront, Florida : proceedings (2023)
2023
/
p. 595-601
https://doi.org/10.1109/ICMLA58977.2023.00088
book article
Related publications
1
Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
28
journal article EST
/
journal article ENG
Learning from few cyber-attacks : addressing the class imbalance problem in machine learning-based intrusion detection in software-defined networking
Mirsadeghi, Seyed Mohammad Hadi
;
Bahsi, Hayretdin
;
Vaarandi, Risto
;
Inoubli, Wissem
IEEE Access
2023
/
p. 140428 - 140442
https://doi.org/10.1109/ACCESS.2023.3341755
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
29
journal article EST
/
journal article ENG
Lidar-camera semi-supervised learning for semantic segmentation
Caltagirone, Luka
;
Bellone, Mauro
;
Svensson, Lennart
;
Wahde, Mattias
;
Sell, Raivo
Sensors
2021
/
art. 4813
https://doi.org/10.3390/s21144813
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
30
book article EST
/
book article ENG
A light-weight CNN model for efficient Parkinsons disease diagnostics
Wang, Xuechao
;
Huang, Junqing
;
Chatzakou, Marianna
;
Medijainen, Kadri
;
Taba, Pille
;
Toomela, Aaro
;
Nõmm, Sven
;
Ruzhansky, Michael
36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, Aquila, 22-24 June 2023
2023
/
p. 616-621
https://doi.org/10.1109/CBMS58004.2023.00289
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
31
book article
Machine learning and deep learning techniques for residential load forecasting : a comparative analysis
Shabbir, Noman
;
Kütt, Lauri
;
Raja, Hadi Ashraf
;
Ahmadiahangar, Roya
;
Rosin, Argo
;
Husev, Oleksandr
2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): conference proceedings
2021
/
p. 1-5
https://doi.org/10.1109/RTUCON53541.2021.9711741
book article
Related publications
1
Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
32
book article EST
/
book article ENG
Machine learning techniques for wireless-powered ambient backscatter communications : enabling intelligent iot networks in 6g era
Jameel, Furqan
;
Sharma, Navuday
;
Khan, Muhammad Awais
;
Khan, Imran
;
Alam, Muhammad Mahtab
;
Alam, Muhammad Mahtab
;
Mavromoustakis, Constandinos X.
Internet of Things
/
2020
https://doi.org/10.1007/978-3-030-44907-0_8
Article collection metrics at Scopus
Article at Scopus
book article EST
/
book article ENG
33
journal article
Multi-algorithm-based urban tree information extraction and Its applications in urban planning : research note
Yao, Chaowen
;
Fabritius, Eeva Henna Helena
;
Fricker, Pia
;
Dembski, Fabian
Landscape and urban planning
2025
/
art. 105226
https://doi.org/10.1016/j.landurbplan.2024.105226
journal article
34
journal article EST
/
journal article ENG
Multi-stage deep learning networks for automated assessment of electricity transmission infrastructure using fly-by images
Manninen, Henri
;
Ramlal, Craig J.
;
Singh, Arvind
;
Kilter, Jako
;
Landsberg, Mart
Electric power systems research
2022
/
art. 107948
https://doi.org/10.1016/j.epsr.2022.107948
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
35
journal article EST
/
journal article ENG
A new efficient ALignment-driven Neural Network for mortality prediction from irregular multivariate time series data [Formula presented]
Bignoumba, Nzamba
;
Mellouli, Nedra
;
Ben Yahia, Sadok
Expert systems with applications
2024
/
art. 122148
https://doi.org/10.1016/j.eswa.2023.122148
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
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
36
book article
Non-determinism in nowadays computing and IT
Henno, Jaak
;
Jaakkola, Hannu
;
Mäkelä, Jukka
2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 28 Sept.-2 Oct. 2020, Opatija, Croatia : proceedings
2020
/
p. 794-801
https://doi.org/10.23919/MIPRO48935.2020.9245377
book article
37
book article EST
/
book article ENG
Ontology modeling of the Estonian Traffic Act for self-driving buses
Nogales, Alberto
;
Täks, Ermo
;
Taveter, Kuldar
Information Management and Big Data : 5th International Conference : SIMBig 2018, Lima, Peru, September 3–5, 2018 : proceedings
2019
/
p. 249-256
https://doi.org/10.1007/978-3-030-11680-4_24
Conference proceedings at Scopus
Article at Scopus
book article EST
/
book article ENG
38
journal article EST
/
journal article ENG
Orthophoto classification for UGV pth planning using heterogeneous computing
Hudjakov, Robert
;
Tamre, Mart
International journal of advanced robotic systems
2013
/
[7] p. : ill
https://doi.org/10.5772/56545
https://www.researchgate.net/publication/269785081_Orthophoto_Classification_for_UGV_Path_Planning_using_Heterogeneous_Computing
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
39
journal article EST
/
journal article ENG
Pavement defect segmentation in orthoframes with a pipeline of three convolutional neural networks
Lõuk, Roland
;
Riid, Andri
;
Pihlak, Rene
;
Tepljakov, Aleksei
Algorithms
2020
/
art. 198, 27 p. : ill
https://doi.org/10.3390/a13080198
Journal metrics at scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
40
book article
Preliminary results in using attention for increasing attack identification efficiency
Ahmad, Tanwir
;
Truscan, Dragos
;
Vain, Jüri
2023 IEEE 16th International Conferenceon Software Testing, Verification andValidation Workshops, ICSTW 2023, 16-20 April 2023, Dublin, Ireland, Proceedings
2023
/
p. 159 - 164
https://doi.org/10.1109/ICSTW58534.2023.00038
book article
41
book article
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
book article
42
journal article EST
/
journal article ENG
A robust pathological voices recognition system based on DCNN and scattering transform
Souli, Sameh
;
Amam, Rimah
;
Ben Yahia, Sadok
Applied acoustics
2021
/
art. 107854 : ill
https://doi.org/10.1016/j.apacoust.2020.107854
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
43
book article
Scene parsing using Fully Convolutional Network for Semantic Segmentation
Ali, Nisar
;
Ijaz, Ali Zeeshan
;
Ali, Raja Hashim
;
Abideen, Zain Ul
;
Bais, Abdul
2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Regina, SK, Canada, 2023
2023
/
p. 180-185
https://doi.org/10.1109/CCECE58730.2023.10288934
book article
44
book article EST
/
book article ENG
Semi-parametric approach to random forests for high-dimensional bayesian optimisation
Kuzmanovski, Vladimir
;
Hollmén, Jaakko
Discovery Science : 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings
2022
/
p. 418 - 428
https://doi.org/10.1007/978-3-031-18840-4_30
Conference Proceedings at Scopus
Article at Scopus
Conference Proceedings at WOS
Article at WOS
book article EST
/
book article ENG
45
journal article
Short-term PV energy generation forecasting using deep learning
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Rosin, Argo
;
Astapov, Victor
;
Kilter, Jako
Telematique
2022
https://www.provinciajournal.com/index.php/telematique/article/view/813
journal article
46
book article
The validation of graph model-based, gate level low-dimensional feature data for machine learning applications
Balakrishnan, Aneesh
;
Lange, Thomas
;
Glorieux, Maximilien
;
Alexandrescu, Dan
;
Jenihhin, Maksim
2019 IEEE Nordic Circuits and Systems Conference (NORCAS) : NORCHIP and International Symposium of System-on-Chip (SoC), 29-30 October 2019, Helsinki, Finland : proceedings in IEEE Xplore
2019
/
7 p
https://doi.org/10.1109/NORCHIP.2019.8906974
book article
Related publications
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
47
journal article EST
/
journal article ENG
Toward automatic condition assessment of high-voltage transmission infrastructure using deep learning techniques
Manninen, Henri
;
Ramlal, Craig J.
;
Singh, Arvind
;
Rocke, Sean
;
Kilter, Jako
;
Landsberg, Mart
International journal of electrical power & energy systems
2021
/
art. 106726
https://doi.org/10.1016/j.ijepes.2020.106726
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Data-driven asset management and condition assessment methodology for transmission overhead lines = Ülekandevõrgu õhuliinide andmepõhine varahalduse ja seisundi hindamise metoodika
Number of records 47, displaying
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deep learning
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deep learning methods
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deep learning network
9.
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10.
deep-learning (DL)
11.
embedded deep learning
12.
deep reinforcement learning
13.
Deep reinforcing learning SDN
14.
Multi-agent deep reinforcement learning
15.
deep donor-deep acceptor pairs
16.
deep brain stimulation
17.
deep convolutional neural network
18.
Deep defects
19.
deep energy levels
20.
deep energy renovation
21.
deep eutectic solvents
22.
deep fake
23.
deep fake recognition
24.
deep habits
25.
deep heat well
26.
deep inference
27.
deep layer
28.
deep level
29.
deep level traps
30.
deep levels
31.
deep neural network
32.
deep neural network compression
33.
deep neural networks
34.
deep neural networks (DNNs)
35.
deep offshore
36.
deep packet inspection
37.
deep Q-network
38.
deep renovation
39.
deep understanding
40.
deep UV emission
41.
deep-sea mining
42.
double deep Q-network
43.
natural deep eutectic solvents
44.
naturally available deep eutectic solvents
45.
nZEB deep energy renovation
46.
nZEB deep renovation
47.
active blended learning
48.
active learning
49.
active learning and engagement
50.
active learning methods
51.
adaptive learning
52.
adversarial machine learning
53.
adversarial machine-learning
54.
algorithm controlling the learning process
55.
appetitive associative learning
56.
approach to learning
57.
Artificial Intelligence in learning
58.
Attitude to learning
59.
authoritarian learning
60.
automata learning
61.
automatic machine learning (autoML)
62.
bayesian learning
63.
BIM-enabled learning
64.
BIM-enabled learning environment
65.
biophilic learning environments
66.
blended learning
67.
business school as learning organization
68.
business school learning organization questionnaire (BSLOQ)
69.
business school learning rate dependence on GPD
70.
business school learning rate measurement instrument
71.
challenge-based learning
72.
Challenge-Based Learning (CBL)
73.
city-to-city learning
74.
client learning
75.
Collaborative e-learning
76.
collaborative learning
77.
competence based learning
78.
competence learning
79.
competence-based learning
80.
competency based learning
81.
Component organised learning (COL)
82.
computer assisted language learning
83.
computer based learning
84.
computer-assisted language learning (CALL)
85.
contrastive learning
86.
cooperative reinforcement learning
87.
coping with online teaching and learning
88.
customer learning
89.
data analytics and machine learning
90.
dictionary learning
91.
digital learning module
92.
digital remote learning
93.
Dimensions of Learning Organisation Questionnaire (DLOQ)
94.
distance learning
95.
distant learning
96.
distributed independent reinforcement learning
97.
double Q-learning
98.
effective teaching and learning
99.
e-learning
100.
e‐learning
101.
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102.
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103.
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104.
electronic learning
105.
Emergency remote learning
106.
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107.
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108.
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109.
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111.
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112.
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113.
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114.
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115.
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116.
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117.
game-based learning
118.
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119.
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120.
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121.
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122.
history learning
123.
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124.
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125.
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126.
Immersive Learning
127.
inclusive learning
128.
incremental learning
129.
inductive learning
130.
inductive learning algorithm
131.
interactive learning objects
132.
interdisciplinary learning
133.
interpretable machine learning
134.
inverse reinforcement learning
135.
investor learning
136.
iterative learning
137.
Kolb’s experiential learning cycle
138.
language learning
139.
Learner-centered learning environment
140.
learning
141.
learning (artificial intelligence)
142.
learning activities
143.
learning adaptation in autonomous vehicles
144.
learning algorithm
145.
learning analysis
146.
learning analytics
147.
learning and experimentation
148.
learning and health outcomes
149.
learning and memory
150.
learning business school
151.
learning by teaching
152.
learning concept
153.
learning content
154.
learning design
155.
learning difficulties
156.
Learning environment
157.
learning experience
158.
learning factory
159.
Learning from Demonstration
160.
learning infrastructures
161.
Learning Lab
162.
learning management
163.
learning management system
164.
learning management systems
165.
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166.
learning metrics
167.
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168.
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169.
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170.
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171.
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172.
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173.
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174.
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175.
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176.
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177.
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178.
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179.
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180.
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181.
learning software agents
182.
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183.
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184.
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186.
learning through the questionnaires
187.
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188.
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189.
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190.
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191.
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192.
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193.
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194.
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195.
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196.
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197.
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198.
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200.
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201.
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202.
mathematics students learning habits
203.
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204.
measuring learning
205.
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206.
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207.
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208.
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209.
mutual learning
210.
new learning models
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node embedding learning
212.
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213.
on-device transfer learning
214.
online learning
215.
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216.
ontology learning
217.
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218.
organisational learning
219.
organizational learning
220.
organizational learning measurement instruments
221.
organizational learning rate dependence on management
222.
organizational learning rate measurement
223.
outcome oriented learning
224.
Parkinson’s disease machine learning
225.
peer‐to‐peer learning group
226.
personalised learning
227.
personalized learning
228.
policy learning
229.
probability-informed machine learning
230.
problem-based learning
231.
Problem-based learning (PBL)
232.
project learning
233.
project-based learning
234.
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235.
Q-learning algorithm
236.
query learning
237.
regional learning
238.
reinforcement learning
239.
Reinforcement Learning (RL)
240.
relative learning performance
241.
Remote learning
242.
research-oriented learning
243.
reusable learning objects
244.
robust machine learning
245.
scholarship of teaching and learning
246.
self learning software
247.
self learning system
248.
self-learning
249.
self-regulated learning
250.
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251.
sequence of learning activities
252.
sequence to sequence learning
253.
sequential learning
254.
SIS problem, learning with errors
255.
small data machine learning
256.
smart learning
257.
smart learning environment
258.
social learning
259.
socio-emotional learning
260.
stochastic learning theory
261.
student centred learning
262.
supervised contrastive learning
263.
supervised learning
264.
supervised learning data
265.
supervised machine learning
266.
synchronous hybrid learning
267.
zero-shot learning
268.
task based learning
269.
team learning
270.
Technological learning
271.
technology-enhanced learning
272.
the dimensions of the learning organisation
273.
the dimensions of the learning organization questionnaire (DLOQ)
274.
tools for interactive learning and teaching
275.
trans-disciplinary social-learning
276.
transfer learning
277.
true online reinforcement learning
278.
ubiquitous learning
279.
unsupervised learning
280.
unsupervised machine learning
281.
urban learning center
282.
value of learning
283.
web and computerbased learning
284.
Web and computer-based learning
285.
virtual collaborative learning environment (VCLE)
286.
virtual learning environment
287.
virtual learning factory
288.
work-based learning
289.
workplace learning
author
1
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ELIXIR Machine Learning Focus Group
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1.
UNDP Urban Learning Center
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