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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
APPRAISER : DNN fault resilience analysis employing approximation errors
Taheri, Mahdi
;
Ahmadilivani, Mohammad Hasan
;
Jenihhin, Maksim
;
Raik, Jaan
;
Daneshtalab, Masoud
2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)
2023
/
p. 124−127
https://ddecs2023.taltech.ee/
https://doi.org//10.1109/DDECS57882.2023.10139468
artikkel kogumikus
3
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
4
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
5
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
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
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Article at Scopus
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Article at WOS
artikkel ajakirjas EST
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artikkel ajakirjas ENG
6
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
7
artikkel ajakirjas
Deep Learning methodology for charging management applications in battery cells based on Neural Networks
Zequera, Rolando Antonio Gilbert
;
Rjabtšikov, Viktor
;
Rassõlkin, Anton
;
Vaimann, Toomas
;
Kallaste, Ants
IEEE Transactions on Intelligent Vehicles
2024
https://doi.org/10.1109/TIV.2024.3417216
artikkel ajakirjas
8
artikkel ajakirjas
Development and utilization of synthetic signals for fault diagnostics of electrical machines
Raja, Hadi Ashraf
;
Kudelina, Karolina
;
Asad, Bilal
;
Vaimann, Toomas
;
Rassõlkin, Anton
;
Kallaste, Ants
IEEE journal of emerging and selected topics in industrial electronics
2024
/
9 p
https://doi.org/10.1109/JESTIE.2024.3395650
artikkel ajakirjas
9
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
10
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
11
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
12
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
https://link.springer.com/chapter/10.1007/978-3-642-34475-6_71
artikkel kogumikus
13
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
14
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
https://link.springer.com/chapter/10.1007/978-3-642-23857-4_23
artikkel ajakirjas
15
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
16
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
17
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
18
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
Seotud publikatsioonid
1
Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
19
artikkel kogumikus
Microfluidic droplet classification through tuned convolutional neural network on a resource constrained platform
Afrin, Fariha
;
Le Moullec, Yannick
;
Pardy, Tamas
2024 19th Biennial Baltic Electronics Conference (BEC)
2024
/
4 p
https://doi.org/10.1109/BEC61458.2024.10737958
artikkel kogumikus
20
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
21
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
22
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
23
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
24
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
25
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
Kirjeid leitud 35, kuvan
1 - 25
eelmine
1
2
järgmine
võtmesõna
142
1.
artificial neural networks
2.
artificial neural networks (ANN)
3.
Constrained neural networks
4.
convolutional neural networks
5.
convolutional neural networks (CNNa)
6.
Convolutional Neural Networks (CNNs)
7.
deep neural networks
8.
deep neural networks (DNNs)
9.
Fuzzy neural networks
10.
multilayer neural networks
11.
neural networks
12.
pre-trained neural networks
13.
recurrent neural networks
14.
recurrent neural networks (RNN)
15.
artificial neural network
16.
Binarized Neural Network (BNN)
17.
cascaded forward neural network (CFNN)
18.
Convolutional Neural Network
19.
convolutional neural network (CNN)
20.
deep convolutional neural network
21.
deep neural network
22.
deep neural network compression
23.
feedforward neural network (FFNN)
24.
Graph Convolutional Neural Network (GCN)
25.
GraphSAGE (Graph Based Neural Network)
26.
human neural progenitor cells
27.
linear Delta robots neural network based model
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.
decentralized content-addressable storage (DCAS) networks
62.
developmental networks
63.
diffusion networks
64.
digital twin networks (DTNs)
65.
distribution networks
66.
district heating networks
67.
Dynamic networks
68.
dynamics over networks
69.
ecological networks
70.
economic networks
71.
electric power transmission networks
72.
electrical distribution networks
73.
electrical networks
74.
embedded networks/NoC
75.
gateways (computer networks)
76.
generative adversarial networks
77.
geodetic networks
78.
global production networks
79.
heating networks
80.
hypar-formed networks
81.
IaaS cloud networks
82.
Impedance-source networks
83.
innovation networks
84.
IP networks
85.
iterative networks
86.
knowledge networks
87.
location-based social networks
88.
logistics networks
89.
low voltage networks
90.
low-voltage networks
91.
lumped parameter networks
92.
marketing networks
93.
metabolic networks and pathways
94.
mobile actuator-sensor networks (MAS-Net)
95.
multilayer networks
96.
NB-IoT networks
97.
networks
98.
networks coding
99.
neuro-fuzzy networks and guided missile
100.
non-terrestrial networks
101.
observational networks
102.
on-body networks (BANs)
103.
Online social networks
104.
Optical fiber networks
105.
optical fibre networks
106.
optical networks
107.
optimized routing approach for critical and emergency networks
108.
optimized routing approach for critical and emergency networks simulations
109.
packet switched networks
110.
partner networks
111.
Passive networks
112.
phantom cellular networks
113.
private networks
114.
production networks
115.
Public safety networks
116.
public safety networks (PSN)
117.
public safety networks (PSNs)
118.
reconfigurable scan networks
119.
regional innovation networks
120.
scale-free networks
121.
sensor networks
122.
small district heating networks
123.
SME networks
124.
social networks
125.
social networks
126.
software defined networks (SDN)
127.
sorting networks
128.
supply networks
129.
transmission networks
130.
unreliable wireless networks
131.
WBANs (wireless body area networks)
132.
wearable wireless networks
133.
wearable wireless networks (WWNs)
134.
weighted networks
135.
wireless ad hoc sensor networks
136.
Wireless Body Area Networks
137.
wireless body area networks (WBANs)
138.
wireless body-to-body networks (BBN)
139.
wireless sensor networks
140.
virtual networks
141.
5G networks
142.
5G networks
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