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Deep-learning (võtmesõna)
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1
artikkel kogumikus
Explaining the decisions of deep learning models for load disaggregation (NILM) based on XAI
Machlev, Ram
;
Malka, Asaf
;
Perl, Michael
;
Levron, Yoash
;
Belikov, Juri
2022 IEEE Power & Energy Society General Meeting (PESGM)
2022
/
art. 183865 , p. 1-5 : ill
https://doi.org/10.1109/PESGM48719.2022.9917049
artikkel kogumikus
2
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Neural Architecture Search (NAS) for designing optimal power quality disturbance classifiers
Wang, Qianchao
;
Kapuza, Itamar
;
Baimel, Dmitry
;
Belikov, Juri
;
Levron, Yoash
;
Machlev, Ram
Electric Power Systems Research
2023
/
art. 109574
https://doi.org/10.1016/j.epsr.2023.109574
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
3
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Open source dataset generator for power quality disturbances with deep-learning reference classifiers
Machlev, Ram
;
Chachkes, A.
;
Belikov, Juri
;
Beck, Yuval
;
Levron, Yoash
Electric power systems research
2021
/
art. 107152, 7 p. : ill
https://doi.org/10.1016/j.epsr.2021.107152
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
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artikkel ajakirjas ENG
4
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
PF-FEDG : an open-source data generator for frequency disturbance event detection with deep-learning reference classifiers
Sun, Zhenglong
;
Ram, Machlev
;
Jiang, Chao
;
Wang, Qianchao
;
Perl, Michael
;
Belikov, Juri
;
Levron, Yoash
Energy reports
2023
/
p. 397-413
https://doi.org/10.1016/j.egyr.2022.11.182
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Article at WOS
artikkel ajakirjas EST
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artikkel ajakirjas ENG
5
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
A public dataset for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers
Sun, Zhenglong
;
Machlev, Ram
;
Wang, Qianchao
;
Belikov, Juri
;
Levron, Yoash
;
Baimel, Dmitry
Energy and AI
2023
/
art. 100274, 17 p
https://doi.org/10.1016/j.egyai.2023.100274
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
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artikkel ajakirjas ENG
6
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Stacking deep-learning model, stories and drawing properties for automatic scene generation
Elloumi, Samir
;
Bignoumba, Nzamba
International journal of advanced computer science and applications
2023
/
p. 894-911
https://doi.org/10.14569/IJACSA.2023.0140197
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Article at WOS
artikkel ajakirjas EST
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artikkel ajakirjas ENG
7
artikkel kogumikus
Universal XR framework architecture based on open-source XR tools
Bondarenko, Yevhen
;
Kuts, Vladimir
;
Pizzagalli, Simone Luca
;
Nutonen, Karle
;
Murray, Niall
;
O’Connell, Eoin
XR and metaverse : proceedings of the 8th international XR-metaverse conference 2023, Las Vegas, USA
2024
/
p. 87-98
https://doi.org/10.1007/978-3-031-50559-1_7
artikkel kogumikus
Kirjeid leitud 7, kuvan
1 - 7
võtmesõna
247
1.
Deep-learning
2.
deep-learning (DL)
3.
deep learning
4.
deep learning (DL)
5.
deep learning classifier
6.
deep learning model
7.
deep learning model quantization
8.
deep learning network
9.
embedded deep learning
10.
deep reinforcement learning
11.
Deep reinforcing learning SDN
12.
deep donor-deep acceptor pairs
13.
deep brain stimulation
14.
deep convolutional neural network
15.
Deep defects
16.
deep energy levels
17.
deep energy renovation
18.
deep eutectic solvents
19.
deep fake
20.
deep fake recognition
21.
deep habits
22.
deep heat well
23.
deep inference
24.
deep layer
25.
deep level
26.
deep level traps
27.
deep levels
28.
deep neural network
29.
deep neural network compression
30.
deep neural networks
31.
deep neural networks (DNNs)
32.
deep offshore
33.
deep packet inspection
34.
deep renovation
35.
deep understanding
36.
natural deep eutectic solvents
37.
nZEB deep energy renovation
38.
nZEB deep renovation
39.
active blended learning
40.
active learning
41.
active learning methods
42.
adversarial machine learning
43.
adversarial machine-learning
44.
algorithm controlling the learning process
45.
appetitive associative learning
46.
approach to learning
47.
Attitude to learning
48.
authoritarian learning
49.
automata learning
50.
automatic machine learning (autoML)
51.
BIM-enabled learning
52.
BIM-enabled learning environment
53.
blended learning
54.
business school as learning organization
55.
business school learning organization questionnaire (BSLOQ)
56.
business school learning rate dependence on GPD
57.
business school learning rate measurement instrument
58.
client learning
59.
Collaborative e-learning
60.
collaborative learning
61.
competence based learning
62.
competence learning
63.
competence-based learning
64.
competency based learning
65.
Component organised learning (COL)
66.
computer assisted language learning
67.
computer based learning
68.
computer-assisted language learning (CALL)
69.
cooperative reinforcement learning
70.
coping with online teaching and learning
71.
customer learning
72.
dictionary learning
73.
digital learning module
74.
digital remote learning
75.
Dimensions of Learning Organisation Questionnaire (DLOQ)
76.
distance learning
77.
distant learning
78.
distributed independent reinforcement learning
79.
double Q-learning
80.
effective teaching and learning
81.
e-learning
82.
e‐learning
83.
e-Learning course
84.
e-Learning database
85.
e-learning environment
86.
electronic learning
87.
Emergency remote learning
88.
ensemble learning
89.
enterprising and entrepreneurial learning
90.
entrepreneurial learning
91.
entrepreneurial teaching and learning
92.
experiential learning
93.
Federated learning
94.
federated learning (FL)
95.
flexible learning
96.
game based learning
97.
game-based learning
98.
graph machine learning
99.
guided in-service learning
100.
hands-on-learning
101.
history learning
102.
horizontal federated learning
103.
hybrid learning
104.
incremental learning
105.
inductive learning
106.
inductive learning algorithm
107.
interactive learning objects
108.
interdisciplinary learning
109.
interpretable machine learning
110.
inverse reinforcement learning
111.
investor learning
112.
iterative learning
113.
Kolb’s experiential learning cycle
114.
Learner-centered learning environment
115.
learning
116.
learning (artificial intelligence)
117.
learning activities
118.
learning adaptation in autonomous vehicles
119.
learning algorithm
120.
learning analysis
121.
learning analytics
122.
learning and experimentation
123.
learning and health outcomes
124.
learning and memory
125.
learning business school
126.
learning by teaching
127.
learning concept
128.
learning design
129.
learning difficulties
130.
Learning environment
131.
learning experience
132.
learning infrastructures
133.
Learning Lab
134.
learning management
135.
learning management system
136.
learning management systems
137.
learning methodology
138.
learning metrics
139.
learning models
140.
learning motivation
141.
learning objectives
142.
learning objects
143.
learning organization
144.
learning orientation
145.
learning outcomes
146.
learning process
147.
learning processes
148.
learning rate
149.
learning rate dependence on ownership form
150.
learning rate of organization
151.
learning region
152.
learning situation
153.
learning software agents
154.
learning styles
155.
learning systems
156.
learning technologies
157.
learning theories
158.
learning through the questionnaires
159.
learning university
160.
learning-to-rank
161.
lifelong learning
162.
machine learning
163.
machine learning (ML)
164.
machine learning algorithms
165.
machine learning approach
166.
Machine Learning Explainable model
167.
machine learning for environmental applications
168.
machine learning models
169.
machine learning systems
170.
machine-learning
171.
machine-learning predictive model
172.
mathematics students learning habits
173.
Meaningful learning
174.
measuring learning
175.
mobile learning
176.
model learning
177.
Multi-agent reinforcement learning
178.
mutual learning
179.
new learning models
180.
node embedding learning
181.
NREN e-learning
182.
on-device transfer learning
183.
online learning
184.
ontologies for learning systems
185.
ontology learning
186.
organisational learning
187.
organizational learning
188.
organizational learning measurement instruments
189.
organizational learning rate dependence on management
190.
organizational learning rate measurement
191.
outcome oriented learning
192.
Parkinson’s disease machine learning
193.
peer‐to‐peer learning group
194.
personalised learning
195.
policy learning
196.
problem-based learning
197.
Problem-based learning (PBL)
198.
project learning
199.
project-based learning
200.
Q-learning
201.
Q-learning algorithm
202.
query learning
203.
regional learning
204.
reinforcement learning
205.
Reinforcement Learning (RL)
206.
relative learning performance
207.
Remote learning
208.
research-oriented learning
209.
reusable learning objects
210.
robust machine learning
211.
scholarship of teaching and learning
212.
self learning software
213.
self learning system
214.
self-learning
215.
self-regulated learning
216.
semi-supervised learning
217.
small data machine learning
218.
smart learning
219.
smart learning environment
220.
social learning
221.
stochastic learning theory
222.
supervised learning
223.
supervised learning data
224.
supervised machine learning
225.
zero-shot learning
226.
task based learning
227.
team learning
228.
Technological learning
229.
technology-enhanced learning
230.
the dimensions of the learning organisation
231.
the dimensions of the learning organization questionnaire (DLOQ)
232.
tools for interactive learning and teaching
233.
trans-disciplinary social-learning
234.
transfer learning
235.
true online reinforcement learning
236.
ubiquitous learning
237.
unsupervised learning
238.
unsupervised machine learning
239.
urban learning center
240.
value of learning
241.
web and computerbased learning
242.
Web and computer-based learning
243.
virtual collaborative learning environment (VCLE)
244.
virtual learning environment
245.
virtual learning factory
246.
work-based learning
247.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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