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1
artikkel kogumikus
Artificial intelligence methods for data based modeling and analysis of complex processes : real life examples [Online resource]
Vassiljeva, Kristina
;
Petlenkov, Eduard
;
Vansovitš, Vitali
;
Tepljakov, Aleksei
Proceedings of the 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP) : Lviv, Ukraine, August 23-27, 2016
2016
/
p. 363-368 : ill
https://doi.org/10.1109/DSMP.2016.7583579
artikkel kogumikus
2
artikkel kogumikus EST
/
artikkel kogumikus ENG
Assessment of malicious tweets impact on stock market prices
Ishikawa, Tatsuki
;
Ben Sassi, Imen
;
Ben Yahia, Sadok
Research Challenges in Information Science : 15th International Conference, RCIS 2021, Limassol, Cyprus, May 11–14, 2021 : proceedings
2021
/
p. 330–346
https://doi.org/10.1007/978-3-030-75018-3_22
Conference Proceedings at Scopus
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
3
artikkel ajakirjas
The bearing faults detection methods for electrical machines — the state of the art
Khan, Muhammad Amir
;
Asad, Bilal
;
Kudelina, Karolina
;
Vaimann, Toomas
;
Kallaste, Ants
Energies
2023
/
art. 296
https://doi.org/10.3390/en16010296
artikkel ajakirjas
4
artikkel kogumikus
Coordinated PI-based frequency deviation control of isolated hybrid microgrid : an online multi-agent tuning approach via reinforcement learning
Nosrati, Komeil
;
Tepljakov, Aleksei
;
Petlenkov, Eduard
;
Levron, Yoash
;
Škiparev, Vjatšeslav
;
Belikov, Juri
2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) : proceedings
2022
/
p. 1-5 : ill
https://doi.org/10.1109/ISGT-Europe54678.2022.9960311
artikkel kogumikus
Seotud publikatsioonid
1
Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega
5
artikkel kogumikus
Dynamic predictive modeling approach of user behavior in virtual reality based application
Köse, Ahmet
;
Tepljakov, Aleksei
;
Petlenkov, Eduard
2019 27th Mediterranean Conference on Control and Automation (MED)
2019
/
p. 57-62 : ill
https://doi.org/10.1109/MED.2019.8798521
artikkel kogumikus
6
artikkel kogumikus
An efficient FPGA-based architecture for contractive autoencoders
Kerner, Madis
;
Tammemäe, Kalle
;
Raik, Jaan
;
Hollstein, Thomas
2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 3 – 6 May 2020, Fayetteville, Arkansas : proceedings
2020
/
p. 230−230
https://doi.org/10.1109/FCCM48280.2020.00062.
artikkel kogumikus
7
artikkel kogumikus
Estimating quality of transmission in a live production network using machine learning
Müller, Jasper
;
Fehenberger, Tobias
;
Patri, Sai Kireet
;
Kaeval, Kaida
;
Griesser, Helmut
;
Tikas, Marko
;
Elbers, Jörg-Peter
2021 Optical Fiber Communications Conference and Exhibition (OFC) : 6-10 June 2021 : San Francisco, CA, USA
2021
/
paper Tu1G.2, 3 p
https://ieeexplore.ieee.org/abstract/document/9489940
artikkel kogumikus
8
artikkel kogumikus
Evolutionary design of the closed loop control on the basis of NN-ANARX model using genetic algorithm
Vassiljeva, Kristina
;
Petlenkov, Eduard
;
Nõmm, Sven
Neural information processing : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012 : proceedings. Part I
2012
/
p. 592-599 : ill
artikkel kogumikus
9
artikkel kogumikus
Fault detection and predictive maintenance of electrical machines : perspective chapter
Raja, Hadi Ashraf
;
Kudelina, Karolina
;
Asad, Bilal
;
Vaimann, Toomas
New Trends in Electric Machines - Technology and Applications
2022
https://doi.org/10.5772/intechopen.107167
artikkel kogumikus
Seotud publikatsioonid
1
IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks
10
artikkel ajakirjas
Genetic algorithm based structure identification for feedback control of nonlinear MIMO systems
Vassiljeva, Kristina
;
Belikov, Juri
;
Petlenkov, Eduard
Lecture notes in computer science
2011
/
p. 215-226 : ill
artikkel ajakirjas
11
artikkel kogumikus
Hardware Trojans for confidence reduction and misclassifications on neural networks
Grailoo, Mahdieh
;
Leier, Mairo
;
Pagliarini, Samuel Nascimento
Proceedings Of The Twenty Third International Symposium On Quality Electronic Design (ISQED 2022)
2022
/
art. 180541, p. 230-235
https://doi.org/10.1109/ISQED54688.2022.9806246
artikkel kogumikus
12
artikkel kogumikus
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
artikkel kogumikus
Seotud publikatsioonid
1
Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
13
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Machine learning assisted methodology for multiclass classification of malignant brain tumors
Vidyarthi, Ankit
;
Agarwal, Ruchi
;
Gupta, Deepak
;
Sharma, Rahul
;
Draheim, Dirk
;
Tiwari, Prayag
IEEE Access
2022
/
p. 50624-50640
https://doi.org/10.1109/ACCESS.2022.3172303
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
14
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Methods of condition monitoring and fault detection for electrical machines
Kudelina, Karolina
;
Asad, Bilal
;
Vaimann, Toomas
;
Rassõlkin, Anton
;
Kallaste, Ants
;
Khang, Huynh Van
Energies
2021
/
art. 7459, 20 p. : ill
https://doi.org/10.3390/en14227459
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
15
artikkel kogumikus
Neural networks based system for the supervision of therapeutic exercises
Nõmm, Sven
;
Kuusik, Alar
;
Ovsjanski, Sergei
;
Malmberg, Ines
;
Parve, Marko
;
Orunurm, Lii
Neural information processing : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012 : proceedings. Part IV
2012
/
p. 364-371 : ill
https://link.springer.com/chapter/10.1007/978-3-642-34478-7_45
artikkel kogumikus
16
artikkel kogumikus
NN-ANARX model based control of liquid level using visual feedback
Vassiljeva, Kristina
;
Tepljakov, Aleksei
;
Petlenkov, Eduard
2015 IEEE International Conference on Industrial Informatics (INDIN) : proceedings : Robinson College, Cambridge, United Kingdom, 22-24 July, 2015
2015
/
p. 133-138 : ill
http://dx.doi.org/10.1109/INDIN.2015.7281723
artikkel kogumikus
17
artikkel ajakirjas
NN-SANARX model based control of a multi tank liquid-level system
Belikov, Juri
;
Petlenkov, Eduard
International journal of computational intelligence systems
2015
/
p. 265-277
http://dx.doi.org/10.1080/18756891.2015.1001950
artikkel ajakirjas
18
artikkel ajakirjas
A Novel driver performance model based on machine learning
Aksjonov, Andrei
;
Nedoma, Pavel
;
Vodovozov, Valery
;
Petlenkov, Eduard
;
Herrmann, Martin
IFAC-PapersOnLine
2018
/
p. 267-272 : ill
http://dx.doi.org/10.1016/j.ifacol.2018.07.044
artikkel ajakirjas
19
artikkel kogumikus
Prototyping of a machine learning based auxiliary neurostimulation system
Grigorjev, Nikolai
;
Le Moullec, Yannick
;
Kuusik, Alar
2022 18th Biennial Baltic Electronics Conference (BEC)
2022
/
6 l.
https://doi.org/10.1109/BEC56180.2022.9935607
artikkel kogumikus
20
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
21
artikkel kogumikus
Simulation of three-rate neural network control for stochastic model of a fighter aircraft
Astrov, Igor
CCECE 2003 - Canadian Conference on Electrical and Computer Engineering : Toward a Caring and Humane Technology : May 4th to 7th 2003, Montreal, Canada : proceedings. Vol. 3
2003
/
p. 1711-1714 : ill
artikkel kogumikus
22
artikkel kogumikus
Simulation of two-rate adaptive hybrid control with neural and neuro-fuzzy networks for stochastic model of missile autopilot
Astrov, Igor
;
Pedai, Andrus
;
Rüstern, Ennu
WCICA 2004 : Fifth World Congress on Intelligent Control and Automation : June 15-19, 2004, Hangzhou, China : conference proceedings. Vol. 3
2004
/
p. 2603-2607 : ill
artikkel kogumikus
23
artikkel kogumikus
Simulation of two-rate adaptive neural network and fuzzy logic hybrid control for stochastic model of an experimental aircraft
Astrov, Igor
;
Pedai, Andrus
;
Rüstern, Ennu
Canadian Conference on Electrical and Computer Engineering 2004 = Conference canadienne en genie electrique et informatique : May 2-5, 2004, Fallsview Sheraton, Niagara Falls, Canada : proceedings. Vol. 1
2004
/
p. 125-128 : ill
artikkel kogumikus
24
artikkel kogumikus EST
/
artikkel kogumikus ENG
Simultaneous road edge and road surface markings detection using convolutional neural networks
Pihlak, Rene
;
Riid, Andri
Databases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings
2020
/
p. 109-121
https://doi.org/10.1007/978-3-030-57672-1_9
Conference proceeding at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
25
artikkel kogumikus EST
/
artikkel kogumikus ENG
Speech-based identification of children’s gender and age with neural networks
Piel, Leo Kristopher
;
Alumäe, Tanel
Human Language Technologies - the Baltic Perspective : Proceedings of the Eighth International Conference, Baltic HLT 2018
2018
/
p. 104-111
https://doi.org/10.3233/978-1-61499-912-6-104
Conference proceedings at Scopus
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
Kirjeid leitud 29, kuvan
1 - 25
eelmine
1
2
järgmine
võtmesõna
130
1.
artificial neural networks
2.
artificial neural networks
3.
artificial neural networks (ANN)
4.
Constrained neural networks
5.
convolutional neural networks
6.
convolutional neural networks (CNNa)
7.
deep neural networks
8.
deep neural networks (DNNs)
9.
Fuzzy neural networks
10.
neural networks
11.
pre-trained neural networks
12.
recurrent neural networks
13.
artificial neural network
14.
Artificial neural network (ANN)
15.
Binarized Neural Network (BNN)
16.
cascaded forward neural network (CFNN)
17.
Convolutional Neural Network
18.
convolutional neural network (CNN)
19.
deep convolutional neural network
20.
deep neural network
21.
deep neural network compression
22.
feedforward neural network (FFNN)
23.
Graph Convolutional Neural Network (GCN)
24.
GraphSAGE (Graph Based Neural Network)
25.
human neural progenitor cells
26.
neural activity
27.
neural architecture search
28.
neural controller
29.
neural development
30.
neural fuzzy modelling control
31.
neural network
32.
neural network architecture search
33.
neural network controller
34.
neural network predictive controller
35.
neural oscillations
36.
neural processing unit
37.
neural stimulation
38.
Radial Basis Function Neural Network (RBFNN)
39.
recurrent neural network language model
40.
Ternary Neural Network
41.
adaptive networks
42.
ad-hoc sensor networks security
43.
automotive communication networks
44.
Bayesian Belief Networks
45.
Bayesian networks
46.
binary search networks
47.
binary sensor networks
48.
body area networks
49.
body sensor networks
50.
cellular networks
51.
communication networks
52.
complex networks
53.
computer networks
54.
content distribution networks
55.
content-addressable storage networks
56.
convolutional networks
57.
cross-border communication networks
58.
developmental networks
59.
diffusion networks
60.
distribution networks
61.
district heating networks
62.
Dynamic networks
63.
ecological networks
64.
economic networks
65.
electric power transmission networks
66.
electrical networks
67.
embedded networks/NoC
68.
gateways (computer networks)
69.
generative adversarial networks
70.
geodetic networks
71.
global production networks
72.
heating networks
73.
hypar-formed networks
74.
Impedance-source networks
75.
innovation networks
76.
IP networks
77.
iterative networks
78.
knowledge networks
79.
location-based social networks
80.
logistics networks
81.
low voltage networks
82.
low-voltage networks
83.
lumped parameter networks
84.
marketing networks
85.
metabolic networks and pathways
86.
mobile actuator-sensor networks (MAS-Net)
87.
NB-IoT networks
88.
networks
89.
networks coding
90.
neuro-fuzzy networks and guided missile
91.
non-terrestrial networks
92.
observational networks
93.
on-body networks (BANs)
94.
Online social networks
95.
Optical fiber networks
96.
optical fibre networks
97.
optical networks
98.
optimized routing approach for critical and emergency networks
99.
optimized routing approach for critical and emergency networks simulations
100.
packet switched networks
101.
partner networks
102.
phantom cellular networks
103.
private networks
104.
production networks
105.
Public safety networks
106.
public safety networks (PSN)
107.
public safety networks (PSNs)
108.
reconfigurable scan networks
109.
regional innovation networks
110.
scale-free networks
111.
sensor networks
112.
small district heating networks
113.
SME networks
114.
social networks
115.
social networks
116.
sorting networks
117.
supply networks
118.
transmission networks
119.
WBANs (wireless body area networks)
120.
wearable wireless networks
121.
wearable wireless networks (WWNs)
122.
weighted networks
123.
wireless ad hoc sensor networks
124.
Wireless Body Area Networks
125.
wireless body area networks (WBANs)
126.
wireless body-to-body networks (BBN)
127.
wireless sensor networks
128.
virtual networks
129.
5G networks
130.
5G networks
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