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26
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
27
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
28
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
29
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
30
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
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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
31
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
32
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
33
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
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Article at WOS
journal article EST
/
journal article ENG
34
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
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Article at WOS
journal article EST
/
journal article ENG
35
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
36
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
37
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
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Article at WOS
journal article EST
/
journal article ENG
38
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
39
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
40
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
41
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
42
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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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 42, displaying
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deep learning
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deep learning (DL)
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deep learning classifier
4.
deep learning method
5.
deep learning methods
6.
deep learning model
7.
deep learning model quantization
8.
deep learning network
9.
Deep-learning
10.
deep-learning (DL)
11.
embedded deep learning
12.
deep reinforcement learning
13.
Deep reinforcing learning SDN
14.
deep donor-deep acceptor pairs
15.
deep brain stimulation
16.
deep convolutional neural network
17.
Deep defects
18.
deep energy levels
19.
deep energy renovation
20.
deep eutectic solvents
21.
deep fake
22.
deep fake recognition
23.
deep habits
24.
deep heat well
25.
deep inference
26.
deep layer
27.
deep level
28.
deep level traps
29.
deep levels
30.
deep neural network
31.
deep neural network compression
32.
deep neural networks
33.
deep neural networks (DNNs)
34.
deep offshore
35.
deep packet inspection
36.
deep renovation
37.
deep understanding
38.
deep-sea mining
39.
natural deep eutectic solvents
40.
naturally available deep eutectic solvents
41.
nZEB deep energy renovation
42.
nZEB deep renovation
43.
active blended learning
44.
active learning
45.
active learning and engagement
46.
active learning methods
47.
adaptive learning
48.
adversarial machine learning
49.
adversarial machine-learning
50.
algorithm controlling the learning process
51.
appetitive associative learning
52.
approach to learning
53.
Attitude to learning
54.
authoritarian learning
55.
automata learning
56.
automatic machine learning (autoML)
57.
bayesian learning
58.
BIM-enabled learning
59.
BIM-enabled learning environment
60.
biophilic learning environments
61.
blended learning
62.
business school as learning organization
63.
business school learning organization questionnaire (BSLOQ)
64.
business school learning rate dependence on GPD
65.
business school learning rate measurement instrument
66.
challenge-based learning
67.
Challenge-Based Learning (CBL)
68.
client learning
69.
Collaborative e-learning
70.
collaborative learning
71.
competence based learning
72.
competence learning
73.
competence-based learning
74.
competency based learning
75.
Component organised learning (COL)
76.
computer assisted language learning
77.
computer based learning
78.
computer-assisted language learning (CALL)
79.
contrastive learning
80.
cooperative reinforcement learning
81.
coping with online teaching and learning
82.
customer learning
83.
data analytics and machine learning
84.
dictionary learning
85.
digital learning module
86.
digital remote learning
87.
Dimensions of Learning Organisation Questionnaire (DLOQ)
88.
distance learning
89.
distant learning
90.
distributed independent reinforcement learning
91.
double Q-learning
92.
effective teaching and learning
93.
e-learning
94.
e‐learning
95.
e-Learning course
96.
e-Learning database
97.
e-learning environment
98.
electronic learning
99.
Emergency remote learning
100.
ensemble learning
101.
enterprising and entrepreneurial learning
102.
entrepreneurial learning
103.
entrepreneurial teaching and learning
104.
ESG-learning
105.
experiential learning
106.
explainable machine learning
107.
Federated learning
108.
federated learning (FL)
109.
flexible learning
110.
game based learning
111.
game-based learning
112.
Gamified learning
113.
graph machine learning
114.
guided in-service learning
115.
hands-on-learning
116.
history learning
117.
horizontal federated learning
118.
human-centred learning
119.
hybrid learning
120.
Immersive Learning
121.
incremental learning
122.
inductive learning
123.
inductive learning algorithm
124.
interactive learning objects
125.
interdisciplinary learning
126.
interpretable machine learning
127.
inverse reinforcement learning
128.
investor learning
129.
iterative learning
130.
Kolb’s experiential learning cycle
131.
language learning
132.
Learner-centered learning environment
133.
learning
134.
learning (artificial intelligence)
135.
learning activities
136.
learning adaptation in autonomous vehicles
137.
learning algorithm
138.
learning analysis
139.
learning analytics
140.
learning and experimentation
141.
learning and health outcomes
142.
learning and memory
143.
learning business school
144.
learning by teaching
145.
learning concept
146.
learning content
147.
learning design
148.
learning difficulties
149.
Learning environment
150.
learning experience
151.
learning factory
152.
Learning from Demonstration
153.
learning infrastructures
154.
Learning Lab
155.
learning management
156.
learning management system
157.
learning management systems
158.
learning methodology
159.
learning metrics
160.
learning models
161.
learning motivation
162.
learning objectives
163.
learning objects
164.
learning organization
165.
learning orientation
166.
learning outcomes
167.
learning process
168.
learning processes
169.
learning rate
170.
learning rate dependence on ownership form
171.
learning rate of organization
172.
learning region
173.
learning situation
174.
learning software agents
175.
learning styles
176.
learning systems
177.
learning technologies
178.
learning theories
179.
learning through the questionnaires
180.
learning university
181.
learning-to-rank
182.
lifelong learning
183.
long-short term learning
184.
machine learning
185.
machine learning (ML)
186.
machine learning algorithms
187.
machine learning approach
188.
Machine Learning Explainable model
189.
machine learning for environmental applications
190.
machine learning models
191.
machine learning systems
192.
machine-learning
193.
machine-learning predictive model
194.
mathematics students learning habits
195.
Meaningful learning
196.
measuring learning
197.
mobile learning
198.
model learning
199.
Multi-agent reinforcement learning
200.
multi-task learning
201.
mutual learning
202.
new learning models
203.
node embedding learning
204.
NREN e-learning
205.
on-device transfer learning
206.
online learning
207.
ontologies for learning systems
208.
ontology learning
209.
Open Learning Resources (OLR)
210.
organisational learning
211.
organizational learning
212.
organizational learning measurement instruments
213.
organizational learning rate dependence on management
214.
organizational learning rate measurement
215.
outcome oriented learning
216.
Parkinson’s disease machine learning
217.
peer‐to‐peer learning group
218.
personalised learning
219.
Personalized learning
220.
policy learning
221.
problem-based learning
222.
Problem-based learning (PBL)
223.
project learning
224.
project-based learning
225.
Q-learning
226.
Q-learning algorithm
227.
query learning
228.
regional learning
229.
reinforcement learning
230.
Reinforcement Learning (RL)
231.
relative learning performance
232.
Remote learning
233.
research-oriented learning
234.
reusable learning objects
235.
robust machine learning
236.
scholarship of teaching and learning
237.
self learning software
238.
self learning system
239.
self-learning
240.
self-regulated learning
241.
semi-supervised learning
242.
sequence of learning activities
243.
SIS problem, learning with errors
244.
small data machine learning
245.
smart learning
246.
smart learning environment
247.
social learning
248.
socio-emotional learning
249.
stochastic learning theory
250.
student centred learning
251.
supervised contrastive learning
252.
supervised learning
253.
supervised learning data
254.
supervised machine learning
255.
synchronous hybrid learning
256.
zero-shot learning
257.
task based learning
258.
team learning
259.
Technological learning
260.
technology-enhanced learning
261.
the dimensions of the learning organisation
262.
the dimensions of the learning organization questionnaire (DLOQ)
263.
tools for interactive learning and teaching
264.
trans-disciplinary social-learning
265.
transfer learning
266.
true online reinforcement learning
267.
ubiquitous learning
268.
unsupervised learning
269.
unsupervised machine learning
270.
urban learning center
271.
value of learning
272.
web and computerbased learning
273.
Web and computer-based learning
274.
virtual collaborative learning environment (VCLE)
275.
virtual learning environment
276.
virtual learning factory
277.
work-based learning
278.
workplace learning
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