Toggle navigation
Publikatsioonid
Profiilid
Uurimisrühmad
Registrid
Abi ja info
Switch to English
Intranet
Publikatsioonid
Profiilid
Uurimisrühmad
Registrid
Abi ja info
English
Intranet
Andmebaasid
Publikatsioonid
Otsing
Valitud kirjed
0
machine learning (võtmesõna)
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
—
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
—
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
—
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
—
Lisa tingimus
Liitotsing
filter
Tühista
×
teaviku laadid
raamat
..
artikkel ajakirjas
..
artikkel ajalehes
..
artikkel kogumikus
..
dissertatsioon
..
Open Access
..
Teaduspublikatsioon
..
aasta
ilmumisaasta
Toon andmeid..
autor
Toon andmeid..
TTÜ struktuuriüksus
Toon andmeid..
märksõna
Toon andmeid..
seeria-sari
Toon andmeid..
tema kohta
Toon andmeid..
võtmesõna
Toon andmeid..
Tühista
Kirjeid leitud
99
Vaata veel..
(3/271)
Ekspordi
ekspordi kõik päringu tulemused
(99)
Salvesta TXT fail
Salvesta PDF fail
prindi
Märgitud kirjetega toimetamiseks ava
valitud kirjed
kuva
Bibliokirje
Lühikirje
reasta
autor kasvavalt
autor kahanevalt
ilmumisaasta kasvavalt
ilmumisaasta kahanevalt
pealkiri kasvavalt
pealkiri kahanevalt
76
artikkel kogumikus
Residential load forecasting for flexibility prediction using machine learning-based regression model
Ahmadiahangar, Roya
;
Häring, Tobias
;
Rosin, Argo
;
Korõtko, Tarmo
;
Martins, Joao
2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
2019
/
4 p. : ill
https://doi.org/10.1109/EEEIC.2019.8783634
artikkel kogumikus
77
artikkel kogumikus
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
artikkel kogumikus
78
artikkel kogumikus EST
/
artikkel kogumikus ENG
Scalable and imbalance-resistant machine learning models for anti-money laundering : a two-layered approach
Tertychnyi, Pavlo
;
Slobozhan, Ivan
;
Ollikainen, Madis
;
Dumas, Marlon
Enterprise Applications, Markets and Services in the Finance Industry : 10th International Workshop, FinanceCom 2020, Helsinki, Finland, August 18, 2020, Revised Selected Papers
2020
/
p. 43-58
https://doi.org/10.1007/978-3-030-64466-6_3
Conference Proceedings at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
79
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Short-term wind energy forecasting using deep learning-based predictive analytics
Shabbir, Noman
;
Kütt, Lauri
;
Jawad, Muhammad
;
Husev, Oleksandr
CMC-Computers, Materials & Continua
2022
/
p. 1017-1033
https://doi.org/10.32604/cmc.2022.024576
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
1
Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
80
artikkel kogumikus
Signal processing and machine learning techniques for predictive maintenance of rotor bars in induction machine
Kudelina, Karolina
;
Raja, Hadi Ashraf
;
Rjabtšikov, Viktor
;
Naseer, Muhammad Usman
;
Vaimann, Toomas
;
Kallaste, Ants
2023 International Conference on Electrical Drives and Power Electronics (EDPE)
2023
/
7 p
https://doi.org/10.1109/EDPE58625.2023.10274030
artikkel kogumikus
81
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Signal spectrum-based machine learning approach for fault prediction and maintenance of electrical machines
Raja, Hadi Ashraf
;
Kudelina, Karolina
;
Asad, Bilal
;
Vaimann, Toomas
;
Kallaste, Ants
;
Rassõlkin, Anton
;
Khang, Huynh Van
Energies
2022
/
art. 9507
https://doi.org/10.3390/en15249507
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
82
artikkel kogumikus
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
artikkel kogumikus
83
artikkel kogumikus
Social, legal, and technical considerations for machine learning and artificial intelligence systems in government
Dreyling, Richard
;
Jackson, Eric B.
;
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
artikkel kogumikus
84
artikkel kogumikus
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
artikkel kogumikus
85
artikkel ajakirjas
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
artikkel ajakirjas
Seotud publikatsioonid
1
Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe
86
artikkel kogumikus EST
/
artikkel kogumikus 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
artikkel kogumikus EST
/
artikkel kogumikus ENG
87
artikkel ajakirjas EST
/
artikkel ajakirjas 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
artikkel ajakirjas EST
/
artikkel ajakirjas 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
88
artikkel ajakirjas EST
/
artikkel ajakirjas 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
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
1
Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
89
artikkel kogumikus
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
artikkel kogumikus
Seotud publikatsioonid
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
90
artikkel kogumikus
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
artikkel kogumikus
Seotud publikatsioonid
1
Digital twin based computational methods for XR applications = Digitaalkaksikute põhised arvutuslikud meetodid XR rakenduste jaoks
91
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Towards generation of synthetic data sets for hybrid conflict modelling
Nõmm, Sven
;
Venables, Adrian
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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
92
artikkel ajakirjas EST
/
artikkel ajakirjas 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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
93
artikkel kogumikus
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
artikkel kogumikus
Seotud publikatsioonid
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
94
artikkel ajakirjas EST
/
artikkel ajakirjas 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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
95
artikkel ajakirjas EST
/
artikkel ajakirjas 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
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
96
artikkel ajakirjas EST
/
artikkel ajakirjas 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
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
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
97
artikkel kogumikus EST
/
artikkel kogumikus 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
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
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
98
artikkel kogumikus EST
/
artikkel kogumikus ENG
Why not to trust big data : discussing statistical paradoxes
Sharma, Rahul
;
Kaushik, Minakshi
;
Peious, Sijo Arakkal
;
Shahin, Mahtab
;
Vidyarthi, Ankit
;
Tiwari, Prayag
;
Draheim, Dirk
Database Systems for Advanced Applications : DASFAA 2022, International Workshops BDMS, BDQM, GDMA, IWBT, MATQTDS, and PMBD, Virtual Event, April 11–14, 2022 : proceedings
2022
/
p. 50-63 : ill
https://doi.org/10.1007/978-3-031-11217-1_4
Conference Proceedings at Scopus
Article at Scopus
Conference proceedings at WOS
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Unification of decision support techniques : mitigating statistical paradoxes for enabling trustworthy decision making = Otsuste toetamise tehnikate ühtlustamine : statistiliste paradokside mõju maandamine usaldusväärsete otsuste tegemise võimaldamiseks
99
artikkel kogumikus
Wind energy forecasting using recurrent neural networks
Shabbir, Noman
;
Kütt, Lauri
;
Jawad, Muhammad
;
Ahmadiahangar, Roya
;
Iqbal, Muhammad Naveed
;
Rosin, Argo
2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)
2019
/
5 p. : ill
https://doi.org/10.1109/BdKCSE48644.2019.9010593
artikkel kogumikus
Kirjeid leitud 99, kuvan
76 - 99
eelmine
1
2
3
4
järgmine
võtmesõna
269
1.
adversarial machine learning
2.
adversarial machine-learning
3.
automatic machine learning (autoML)
4.
machine learning
5.
machine learning (ML)
6.
machine learning algorithms
7.
machine learning approach
8.
Machine Learning Explainable model
9.
machine learning for environmental applications
10.
machine-learning
11.
machine-learning predictive model
12.
Parkinson’s disease machine learning
13.
robust machine learning
14.
small data machine learning
15.
supervised machine learning
16.
unsupervised machine learning
17.
machine-to-machine communications
18.
AC machine
19.
Algorithmic State Machine - ASM
20.
axial flux machine
21.
axial flux switched reluctance machine
22.
bearingless machine
23.
brushless machine
24.
coordinate measurring machine
25.
electric machine
26.
electric machine analysis computing
27.
electric machine control
28.
electrical machine
29.
electrical machine cooling
30.
electrical machine design
31.
finite state machine
32.
Finite State Machine - FSM
33.
hierarchical finite state machine
34.
human machine interaction
35.
human machine systems
36.
human-machine interaction
37.
human-machine interface
38.
human-machine system
39.
induction machine
40.
interior permanent magnet machine
41.
interior permanent-magnet synchronous machine (IPMSM)
42.
linear machine
43.
machine bearings
44.
machine condition monitoring
45.
machine control
46.
machine design
47.
machine elements
48.
machine error
49.
machine housing
50.
machine tools
51.
machine vector control
52.
machine windings
53.
machine vision
54.
machine-translation
55.
man-machine systems
56.
massive machine-type communication (mMTC)
57.
massive machine-type communications (mMTC)
58.
massive Machine-Type connections (mMTC)
59.
multi-class support vector machine (m-SVM)
60.
multi-machine
61.
multi-machine industrial power plant
62.
multi-machine power system
63.
multi-stream interaction machine
64.
outer-rotor machine
65.
permanent magnet (PM) synchronous machine
66.
permanent magnet flux-switching machine
67.
permanent magnet machine
68.
permanent magnet synchronous machine (PMSM)
69.
sewing machine operator
70.
state machine
71.
support vector machine
72.
surface permanent magnet machine (SPM)
73.
switched reluctance machine
74.
switched reluctance machine (SRM)
75.
synchronous machine
76.
TBM (tunnel boring machine)
77.
totally enclosed fan-cooled machine
78.
universal friction machine
79.
virtual synchronous machine
80.
active learning
81.
active learning methods
82.
algorithm controlling the learning process
83.
appetitive associative learning
84.
approach to learning
85.
Attitude to learning
86.
authoritarian learning
87.
automata learning
88.
BIM-enabled learning
89.
BIM-enabled learning environment
90.
blended learning
91.
business school as learning organization
92.
business school learning organization questionnaire (BSLOQ)
93.
business school learning rate dependence on GPD
94.
business school learning rate measurement instrument
95.
client learning
96.
Collaborative e-learning
97.
collaborative learning
98.
competence based learning
99.
competence learning
100.
competence-based learning
101.
competency based learning
102.
Component organised learning (COL)
103.
computer assisted language learning
104.
computer based learning
105.
computer-assisted language learning (CALL)
106.
cooperative reinforcement learning
107.
coping with online teaching and learning
108.
customer learning
109.
deep learning
110.
deep learning (DL)
111.
deep learning classifier
112.
deep learning model
113.
deep learning network
114.
deep reinforcement learning
115.
Deep reinforcing learning SDN
116.
Deep-learning
117.
deep-learning (DL)
118.
dictionary learning
119.
digital learning module
120.
Dimensions of Learning Organisation Questionnaire (DLOQ)
121.
distance learning
122.
distant learning
123.
distributed independent reinforcement learning
124.
double Q-learning
125.
effective teaching and learning
126.
e-learning
127.
e‐learning
128.
e-Learning course
129.
e-Learning database
130.
e-learning environment
131.
electronic learning
132.
embedded deep learning
133.
Emergency remote learning
134.
ensemble learning
135.
enterprising and entrepreneurial learning
136.
entrepreneurial learning
137.
entrepreneurial teaching and learning
138.
experiential learning
139.
Federated learning
140.
federated learning (FL)
141.
flexible learning
142.
game based learning
143.
game-based learning
144.
guided in-service learning
145.
hands-on-learning
146.
history learning
147.
hybrid learning
148.
incremental learning
149.
inductive learning
150.
inductive learning algorithm
151.
interactive learning objects
152.
interdisciplinary learning
153.
inverse reinforcement learning
154.
investor learning
155.
iterative learning
156.
Learner-centered learning environment
157.
learning
158.
learning (artificial intelligence)
159.
learning activities
160.
learning adaptation in autonomous vehicles
161.
learning algorithm
162.
learning analysis
163.
learning analytics
164.
learning and experimentation
165.
learning and health outcomes
166.
learning and memory
167.
learning business school
168.
learning by teaching
169.
learning concept
170.
learning difficulties
171.
Learning environment
172.
learning experience
173.
learning infrastructures
174.
Learning Lab
175.
learning management
176.
learning management system
177.
learning management systems
178.
learning methodology
179.
learning metrics
180.
learning models
181.
learning motivation
182.
learning objectives
183.
learning objects
184.
learning organization
185.
learning orientation
186.
learning outcomes
187.
learning process
188.
learning processes
189.
learning rate
190.
learning rate dependence on ownership form
191.
learning rate of organization
192.
learning region
193.
learning situation
194.
learning software agents
195.
learning styles
196.
learning systems
197.
learning technologies
198.
learning theories
199.
learning through the questionnaires
200.
learning university
201.
learning-to-rank
202.
lifelong learning
203.
mathematics students learning habits
204.
Meaningful learning
205.
measuring learning
206.
mobile learning
207.
model learning
208.
Multi-agent reinforcement learning
209.
mutual learning
210.
new learning models
211.
node embedding learning
212.
NREN e-learning
213.
on-device transfer learning
214.
online learning
215.
ontologies for learning systems
216.
ontology learning
217.
organisational learning
218.
organizational learning
219.
organizational learning measurement instruments
220.
organizational learning rate dependence on management
221.
organizational learning rate measurement
222.
outcome oriented learning
223.
peer‐to‐peer learning group
224.
personalised learning
225.
policy learning
226.
problem-based learning
227.
Problem-based learning (PBL)
228.
project learning
229.
project-based learning
230.
Q-learning
231.
Q-learning algorithm
232.
query learning
233.
regional learning
234.
reinforcement learning
235.
relative learning performance
236.
Remote learning
237.
research-oriented learning
238.
reusable learning objects
239.
scholarship of teaching and learning
240.
self learning software
241.
self learning system
242.
self-learning
243.
self-regulated learning
244.
semi-supervised learning
245.
smart learning
246.
smart learning environment
247.
social learning
248.
stochastic learning theory
249.
supervised learning
250.
supervised learning data
251.
task based learning
252.
team learning
253.
Technological learning
254.
the dimensions of the learning organisation
255.
the dimensions of the learning organization questionnaire (DLOQ)
256.
tools for interactive learning and teaching
257.
trans-disciplinary social-learning
258.
transfer learning
259.
true online reinforcement learning
260.
ubiquitous learning
261.
unsupervised learning
262.
urban learning center
263.
value of learning
264.
web and computerbased learning
265.
Web and computer-based learning
266.
virtual learning environment
267.
virtual learning factory
268.
work-based learning
269.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
×
vaste
algab
lõpeb
sisaldab
reasta
Relevantsuse alusel
kasvavalt
kahanevalt
ilmumisaasta
autor
TTÜ struktuuriüksus
märksõna
seeria-sari
tema kohta
võtmesõna
Otsing
Valikud
0
ilmumisaasta
AND
OR
NOT
autor
AND
OR
NOT
TTÜ struktuuriüksus
AND
OR
NOT
märksõna
AND
OR
NOT
seeria-sari
AND
OR
NOT
tema kohta
AND
OR
NOT
võtmesõna
AND
OR
NOT