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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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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
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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1.
deep learning
2.
deep learning (DL)
3.
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.
nZEB deep energy renovation
41.
nZEB deep renovation
42.
active blended learning
43.
active learning
44.
active learning and engagement
45.
active learning methods
46.
adaptive learning
47.
adversarial machine learning
48.
adversarial machine-learning
49.
algorithm controlling the learning process
50.
appetitive associative learning
51.
approach to learning
52.
Attitude to learning
53.
authoritarian learning
54.
automata learning
55.
automatic machine learning (autoML)
56.
bayesian learning
57.
BIM-enabled learning
58.
BIM-enabled learning environment
59.
biophilic learning environments
60.
blended learning
61.
business school as learning organization
62.
business school learning organization questionnaire (BSLOQ)
63.
business school learning rate dependence on GPD
64.
business school learning rate measurement instrument
65.
challenge-based learning
66.
Challenge-Based Learning (CBL)
67.
client learning
68.
Collaborative e-learning
69.
collaborative learning
70.
competence based learning
71.
competence learning
72.
competence-based learning
73.
competency based learning
74.
Component organised learning (COL)
75.
computer assisted language learning
76.
computer based learning
77.
computer-assisted language learning (CALL)
78.
contrastive learning
79.
cooperative reinforcement learning
80.
coping with online teaching and learning
81.
customer learning
82.
data analytics and machine learning
83.
dictionary learning
84.
digital learning module
85.
digital remote learning
86.
Dimensions of Learning Organisation Questionnaire (DLOQ)
87.
distance learning
88.
distant learning
89.
distributed independent reinforcement learning
90.
double Q-learning
91.
effective teaching and learning
92.
e-learning
93.
e‐learning
94.
e-Learning course
95.
e-Learning database
96.
e-learning environment
97.
electronic learning
98.
Emergency remote learning
99.
ensemble learning
100.
enterprising and entrepreneurial learning
101.
entrepreneurial learning
102.
entrepreneurial teaching and learning
103.
ESG-learning
104.
experiential learning
105.
explainable machine learning
106.
Federated learning
107.
federated learning (FL)
108.
flexible learning
109.
game based learning
110.
game-based learning
111.
graph machine learning
112.
guided in-service learning
113.
hands-on-learning
114.
history learning
115.
horizontal federated learning
116.
human-centred learning
117.
hybrid learning
118.
Immersive Learning
119.
incremental learning
120.
inductive learning
121.
inductive learning algorithm
122.
interactive learning objects
123.
interdisciplinary learning
124.
interpretable machine learning
125.
inverse reinforcement learning
126.
investor learning
127.
iterative learning
128.
Kolb’s experiential learning cycle
129.
language learning
130.
Learner-centered learning environment
131.
learning
132.
learning (artificial intelligence)
133.
learning activities
134.
learning adaptation in autonomous vehicles
135.
learning algorithm
136.
learning analysis
137.
learning analytics
138.
learning and experimentation
139.
learning and health outcomes
140.
learning and memory
141.
learning business school
142.
learning by teaching
143.
learning concept
144.
learning content
145.
learning design
146.
learning difficulties
147.
Learning environment
148.
learning experience
149.
learning factory
150.
Learning from Demonstration
151.
learning infrastructures
152.
Learning Lab
153.
learning management
154.
learning management system
155.
learning management systems
156.
learning methodology
157.
learning metrics
158.
learning models
159.
learning motivation
160.
learning objectives
161.
learning objects
162.
learning organization
163.
learning orientation
164.
learning outcomes
165.
learning process
166.
learning processes
167.
learning rate
168.
learning rate dependence on ownership form
169.
learning rate of organization
170.
learning region
171.
learning situation
172.
learning software agents
173.
learning styles
174.
learning systems
175.
learning technologies
176.
learning theories
177.
learning through the questionnaires
178.
learning university
179.
learning-to-rank
180.
lifelong learning
181.
long-short term learning
182.
machine learning
183.
machine learning (ML)
184.
machine learning algorithms
185.
machine learning approach
186.
Machine Learning Explainable model
187.
machine learning for environmental applications
188.
machine learning models
189.
machine learning systems
190.
machine-learning
191.
machine-learning predictive model
192.
mathematics students learning habits
193.
Meaningful learning
194.
measuring learning
195.
mobile learning
196.
model learning
197.
Multi-agent reinforcement learning
198.
multi-task learning
199.
mutual learning
200.
new learning models
201.
node embedding learning
202.
NREN e-learning
203.
on-device transfer learning
204.
online learning
205.
ontologies for learning systems
206.
ontology learning
207.
Open Learning Resources (OLR)
208.
organisational learning
209.
organizational learning
210.
organizational learning measurement instruments
211.
organizational learning rate dependence on management
212.
organizational learning rate measurement
213.
outcome oriented learning
214.
Parkinson’s disease machine learning
215.
peer‐to‐peer learning group
216.
personalised learning
217.
Personalized learning
218.
policy learning
219.
problem-based learning
220.
Problem-based learning (PBL)
221.
project learning
222.
project-based learning
223.
Q-learning
224.
Q-learning algorithm
225.
query learning
226.
regional learning
227.
reinforcement learning
228.
Reinforcement Learning (RL)
229.
relative learning performance
230.
Remote learning
231.
research-oriented learning
232.
reusable learning objects
233.
robust machine learning
234.
scholarship of teaching and learning
235.
self learning software
236.
self learning system
237.
self-learning
238.
self-regulated learning
239.
semi-supervised learning
240.
sequence of learning activities
241.
SIS problem, learning with errors
242.
small data machine learning
243.
smart learning
244.
smart learning environment
245.
social learning
246.
socio-emotional learning
247.
stochastic learning theory
248.
student centred learning
249.
supervised contrastive learning
250.
supervised learning
251.
supervised learning data
252.
supervised machine learning
253.
synchronous hybrid learning
254.
zero-shot learning
255.
task based learning
256.
team learning
257.
Technological learning
258.
technology-enhanced learning
259.
the dimensions of the learning organisation
260.
the dimensions of the learning organization questionnaire (DLOQ)
261.
tools for interactive learning and teaching
262.
trans-disciplinary social-learning
263.
transfer learning
264.
true online reinforcement learning
265.
ubiquitous learning
266.
unsupervised learning
267.
unsupervised machine learning
268.
urban learning center
269.
value of learning
270.
web and computerbased learning
271.
Web and computer-based learning
272.
virtual collaborative learning environment (VCLE)
273.
virtual learning environment
274.
virtual learning factory
275.
work-based learning
276.
workplace learning
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