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1
artikkel kogumikus
American sign language character recognition using convolutional neural networks
Abdullah, Atesam
;
Ali, Nisar
;
Ali, Raja Hashim
;
Abideen, Zain Ul
;
Ijaz, Ali Zeeshan
;
Bais, Abdul
2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) : Regina, SK, Canada, 24-27 September 2023
2023
/
p. 165-169
https://doi.org/10.1109/CCECE58730.2023.10288799
artikkel kogumikus
2
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
3
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
4
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
5
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
6
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
7
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
Seotud publikatsioonid
1
Novel Neural Network accelerator architectures for FPGAs = Uudsed närvivõrkude kiirendite arhitektuurid FPGAdele
8
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
9
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
10
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
11
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
12
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
13
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
14
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
15
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
16
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
17
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
18
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
19
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
20
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
21
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
22
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
23
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
24
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
25
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
Kirjeid leitud 30, kuvan
1 - 25
eelmine
1
2
järgmine
võtmesõna
133
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.
Convolutional Neural Networks (CNNs)
8.
deep neural networks
9.
deep neural networks (DNNs)
10.
Fuzzy neural networks
11.
neural networks
12.
pre-trained neural networks
13.
recurrent neural networks
14.
recurrent neural networks (RNN)
15.
artificial neural network
16.
Artificial neural network (ANN)
17.
Binarized Neural Network (BNN)
18.
cascaded forward neural network (CFNN)
19.
Convolutional Neural Network
20.
convolutional neural network (CNN)
21.
deep convolutional neural network
22.
deep neural network
23.
deep neural network compression
24.
feedforward neural network (FFNN)
25.
Graph Convolutional Neural Network (GCN)
26.
GraphSAGE (Graph Based Neural Network)
27.
human neural progenitor cells
28.
neural activity
29.
neural architecture search
30.
neural controller
31.
neural development
32.
neural fuzzy modelling control
33.
neural network
34.
neural network architecture search
35.
neural network controller
36.
neural network predictive controller
37.
neural oscillations
38.
neural processing unit
39.
neural stimulation
40.
Radial Basis Function Neural Network (RBFNN)
41.
recurrent neural network language model
42.
spiking neural network (SNN)
43.
Ternary Neural Network
44.
adaptive networks
45.
ad-hoc sensor networks security
46.
automotive communication networks
47.
Bayesian Belief Networks
48.
Bayesian networks
49.
binary search networks
50.
binary sensor networks
51.
body area networks
52.
body sensor networks
53.
cellular networks
54.
communication networks
55.
complex networks
56.
computer networks
57.
content distribution networks
58.
content-addressable storage networks
59.
convolutional networks
60.
cross-border communication networks
61.
developmental networks
62.
diffusion networks
63.
distribution networks
64.
district heating networks
65.
Dynamic networks
66.
ecological networks
67.
economic networks
68.
electric power transmission networks
69.
electrical networks
70.
embedded networks/NoC
71.
gateways (computer networks)
72.
generative adversarial networks
73.
geodetic networks
74.
global production networks
75.
heating networks
76.
hypar-formed networks
77.
Impedance-source networks
78.
innovation networks
79.
IP networks
80.
iterative networks
81.
knowledge networks
82.
location-based social networks
83.
logistics networks
84.
low voltage networks
85.
low-voltage networks
86.
lumped parameter networks
87.
marketing networks
88.
metabolic networks and pathways
89.
mobile actuator-sensor networks (MAS-Net)
90.
NB-IoT networks
91.
networks
92.
networks coding
93.
neuro-fuzzy networks and guided missile
94.
non-terrestrial networks
95.
observational networks
96.
on-body networks (BANs)
97.
Online social networks
98.
Optical fiber networks
99.
optical fibre networks
100.
optical networks
101.
optimized routing approach for critical and emergency networks
102.
optimized routing approach for critical and emergency networks simulations
103.
packet switched networks
104.
partner networks
105.
phantom cellular networks
106.
private networks
107.
production networks
108.
Public safety networks
109.
public safety networks (PSN)
110.
public safety networks (PSNs)
111.
reconfigurable scan networks
112.
regional innovation networks
113.
scale-free networks
114.
sensor networks
115.
small district heating networks
116.
SME networks
117.
social networks
118.
social networks
119.
sorting networks
120.
supply networks
121.
transmission networks
122.
WBANs (wireless body area networks)
123.
wearable wireless networks
124.
wearable wireless networks (WWNs)
125.
weighted networks
126.
wireless ad hoc sensor networks
127.
Wireless Body Area Networks
128.
wireless body area networks (WBANs)
129.
wireless body-to-body networks (BBN)
130.
wireless sensor networks
131.
virtual networks
132.
5G networks
133.
5G networks
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