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neural networks (võtmesõna)
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26
artikkel kogumikus
Modelling of magnetization processes of 3D-Printed Fe-Si components by means of an artificial neural network implemented in a FEM scheme
Stella, Marco
;
Faba, Antonio
;
Bertolini, Vittorio
;
Fulginei, F. Riganti
;
Sabino, Lorenzo
;
Tiismus, Hans
;
Kallaste, Ants
;
Cardelli, Ermanno
2024 International Conference on Electrical Machines (ICEM)
2024
/
7 p
https://doi.org/10.1109/ICEM60801.2024.10700301
Article at Scopus
Article at WOS
artikkel kogumikus
27
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
28
artikkel kogumikus EST
/
artikkel kogumikus ENG
A neuro-fuzzy approach for broken rotor bar fault prediction in induction motors via current spectrum analysis
Raja, Hadi Ashraf
;
Vaimann, Toomas
;
Asad, Bilal
;
Kallaste, Ants
;
Sardar, Muhammad Usman
2025 IEEE Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED) : proceedings
2025
/
7 p
https://doi.org/10.1109/SDEMPED53223.2025.11154194
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
29
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
30
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
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
https://doi.org/10.1080/18756891.2015.1001950
Journal metrics at Scopus
Article at Scopus
Journal metrtics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
31
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
32
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
The proposal of countermeasures for deepfake voices on social media considering waveform and text embedding
Yanagi, Yuta
;
Orihara, Ryohei
;
Tahara, Yasuyuki
;
Sei, Yuichi
;
Alumäe, Tanel
;
Ohsuga, Akihiko
Annals of emerging technologies in computing
2024
/
p. 15-31 ill
https://doi.org/10.33166/AETiC.2024.02.002
Journal metrics at Scopus
Article at Scopus
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
33
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
34
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
35
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
36
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
37
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
38
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
39
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
40
artikkel kogumikus EST
/
artikkel kogumikus ENG
Zero-memory-overhead clipping-based fault tolerance for LSTM deep neural networks
Parchekani, Bahram
;
Nazari, Samira
;
Ahmadilivani, Mohammad Hasan
;
Azarpeyvand, Ali
;
Raik, Jaan
;
Ghasempouri, Tara
;
Daneshtalab, Masoud
37th IEEE International Symposium on Defect and Fault Tolerancein VLSI and Nanotechnology Systems, Harwell, Oxfordshire, Didcot, UK, October 8th - 10th, 2024
2024
/
4 p. : ill
https://doi.org/10.1109/DFT63277.2024.10753533
Conference proceedings at Scopus
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks
41
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Trends and challenges in intelligent condition monitoring of electrical machines using machine learning
Kudelina, Karolina
;
Vaimann, Toomas
;
Asad, Bilal
;
Rassõlkin, Anton
;
Kallaste, Ants
;
Demidova, Galina
Applied sciences
2021
/
art. 2761, 19 p. : ill
https://doi.org/10.3390/app11062761
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
42
artikkel kogumikus
Triple fixed-point MAC unit for deep learning
Kerner, Madis
;
Tammemäe, Kalle
;
Raik, Jaan
;
Hollstein, Thomas
Proceedings of the 2021 Design, Automation & Test in Europe (DATE 2021), 1-5 February 2021 : Virtual Conference
2021
/
p. 1404-1407
https://doi.org/10.23919/DATE51398.2021.9474020
artikkel kogumikus
Seotud publikatsioonid
1
Novel Neural Network accelerator architectures for FPGAs = Uudsed närvivõrkude kiirendite arhitektuurid FPGAdele
43
artikkel kogumikus
Wind energy forecasting using recurrent neural networks
Shabbir, Noman
;
Kütt, Lauri
;
Jawad, Muhammad
;
Ahmadiahangar, Roya
;
Iqbal, Muhammad Naveed
;
Rosin, Argo
2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)
2019
/
5 p. : ill
https://doi.org/10.1109/BdKCSE48644.2019.9010593
artikkel kogumikus
44
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Virtual inertia control of isolated microgrids using an NN-based VFOPID controller
Škiparev, Vjatšeslav
;
Nosrati, Komeil
;
Tepljakov, Aleksei
;
Petlenkov, Eduard
;
Levron, Yoash
;
Belikov, Juri
;
Guerrero, Joseph M.
IEEE Transactions on sustainable energy
2023
/
p. 1558-1568
https://doi.org/10.1109/TSTE.2023.3237922
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
1
Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega
Kirjeid leitud 44, kuvan
26 - 44
eelmine
1
2
järgmine
võtmesõna
175
1.
artificial neural networks
2.
artificial neural networks (ANN)
3.
Biological neural networks
4.
Complex-valued neural networks
5.
constrained artificial neural networks
6.
Constrained neural networks
7.
convolutional neural networks
8.
convolutional neural networks (CNNa)
9.
Convolutional Neural Networks (CNNs)
10.
deep neural networks
11.
deep neural networks (DNNs)
12.
Fuzzy neural networks
13.
graph neural networks
14.
multilayer neural networks
15.
neural networks
16.
neural-networks
17.
pre-trained neural networks
18.
recurrent neural networks
19.
recurrent neural networks (RNN)
20.
recurrent neural networks (RNNs)
21.
spiking neural networks
22.
artificial neural network
23.
back propagation neural network
24.
Binarized Neural Network (BNN)
25.
cascaded forward neural network (CFNN)
26.
Convolutional Neural Network
27.
convolutional neural network (CNN)
28.
deep convolutional neural network
29.
deep neural network
30.
deep neural network compression
31.
feedforward neural network (FFNN)
32.
Graph Convolutional Neural Network (GCN)
33.
GraphSAGE (Graph Based Neural Network)
34.
human neural progenitor cells
35.
linear Delta robots neural network based model
36.
LSTM neural network
37.
neural activity
38.
neural additive model
39.
neural architecture search
40.
neural controller
41.
neural development
42.
neural fuzzy modelling control
43.
neural machine translation
44.
neural net
45.
neural net architecture
46.
neural network
47.
neural network architecture search
48.
neural network controller
49.
neural network modelling
50.
neural network models
51.
neural network positioning algorithms
52.
neural network predictive controller
53.
neural oscillations
54.
neural processing unit
55.
neural stimulation
56.
Radial Basis Function Neural Network (RBFNN)
57.
Recurrent Neural Network
58.
recurrent neural network language model
59.
Residual Neural Network
60.
spiking neural network (SNN)
61.
Ternary Neural Network
62.
transformer-based neural network
63.
adaptive networks
64.
ad-hoc sensor networks security
65.
automotive communication networks
66.
Bayesian Belief Networks
67.
Bayesian networks
68.
binary search networks
69.
binary sensor networks
70.
body area networks
71.
body sensor networks
72.
cellular networks
73.
chemical reaction networks
74.
communication networks
75.
communications engineering, networks
76.
complex networks
77.
computer networks
78.
content distribution networks
79.
content-addressable storage networks
80.
convolutional networks
81.
cross-border communication networks
82.
decentralized content-addressable storage (DCAS) networks
83.
developmental networks
84.
diffusion networks
85.
digital twin networks (DTNs)
86.
distribution networks
87.
district heating networks
88.
Dynamic networks
89.
Dynamics of networks
90.
dynamics over networks
91.
ecological networks
92.
economic networks
93.
electric power transmission networks
94.
electrical distribution networks
95.
electrical networks
96.
embedded networks/NoC
97.
gateways (computer networks)
98.
generative adversarial networks
99.
geodetic networks
100.
global production networks
101.
graph attention networks
102.
graph convolutional networks
103.
heating and cooling networks
104.
heating networks
105.
hybrid networks
106.
hypar-formed networks
107.
IaaS cloud networks
108.
Impedance-source networks
109.
innovation networks
110.
IP networks
111.
iterative networks
112.
knowledge networks
113.
location-based social networks
114.
logistics networks
115.
Long Short-Term Memory Networks (LSTMs)
116.
low voltage networks
117.
low-voltage networks
118.
LSTM networks
119.
lumped parameter networks
120.
marketing networks
121.
metabolic networks and pathways
122.
mobile actuator-sensor networks (MAS-Net)
123.
multilayer networks
124.
NB-IoT networks
125.
networks
126.
networks coding
127.
neuro-fuzzy networks and guided missile
128.
non-terrestrial networks
129.
observational networks
130.
on-body networks (BANs)
131.
Online social networks
132.
Optical fiber networks
133.
optical fibre networks
134.
optical networks
135.
optimized routing approach for critical and emergency networks
136.
optimized routing approach for critical and emergency networks simulations
137.
packet switched networks
138.
partner networks
139.
Passive networks
140.
phantom cellular networks
141.
private networks
142.
production networks
143.
protein networks
144.
Public safety networks
145.
public safety networks (PSN)
146.
public safety networks (PSNs)
147.
radio access networks
148.
reconfigurable scan networks
149.
regional innovation networks
150.
scale-free networks
151.
sensor networks
152.
small district heating networks
153.
SME networks
154.
social networks
155.
social networks
156.
software defined networks (SDN)
157.
sorting networks
158.
supply networks
159.
transmission networks
160.
unreliable wireless networks
161.
WBANs (wireless body area networks)
162.
wearable wireless networks
163.
wearable wireless networks (WWNs)
164.
weighted networks
165.
wireless ad hoc sensor networks
166.
Wireless Body Area Networks
167.
wireless body area networks (WBANs)
168.
wireless body-to-body networks (BBN)
169.
wireless networks
170.
wireless sensor networks
171.
wireless sensor networks (WSN)
172.
virtual networks
173.
5G networks
174.
5G networks
175.
5G nomadic networks
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