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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
173
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.
Binarized Neural Network (BNN)
24.
cascaded forward neural network (CFNN)
25.
Convolutional Neural Network
26.
convolutional neural network (CNN)
27.
deep convolutional neural network
28.
deep neural network
29.
deep neural network compression
30.
feedforward neural network (FFNN)
31.
Graph Convolutional Neural Network (GCN)
32.
GraphSAGE (Graph Based Neural Network)
33.
human neural progenitor cells
34.
linear Delta robots neural network based model
35.
LSTM neural network
36.
neural activity
37.
neural additive model
38.
neural architecture search
39.
neural controller
40.
neural development
41.
neural fuzzy modelling control
42.
neural machine translation
43.
neural net
44.
neural net architecture
45.
neural network
46.
neural network architecture search
47.
neural network controller
48.
neural network modelling
49.
neural network models
50.
neural network positioning algorithms
51.
neural network predictive controller
52.
neural oscillations
53.
neural processing unit
54.
neural stimulation
55.
Radial Basis Function Neural Network (RBFNN)
56.
Recurrent Neural Network
57.
recurrent neural network language model
58.
Residual Neural Network
59.
spiking neural network (SNN)
60.
Ternary Neural Network
61.
transformer-based neural network
62.
adaptive networks
63.
ad-hoc sensor networks security
64.
automotive communication networks
65.
Bayesian Belief Networks
66.
Bayesian networks
67.
binary search networks
68.
binary sensor networks
69.
body area networks
70.
body sensor networks
71.
cellular networks
72.
chemical reaction networks
73.
communication networks
74.
communications engineering, networks
75.
complex networks
76.
computer networks
77.
content distribution networks
78.
content-addressable storage networks
79.
convolutional networks
80.
cross-border communication networks
81.
decentralized content-addressable storage (DCAS) networks
82.
developmental networks
83.
diffusion networks
84.
digital twin networks (DTNs)
85.
distribution networks
86.
district heating networks
87.
Dynamic networks
88.
Dynamics of networks
89.
dynamics over networks
90.
ecological networks
91.
economic networks
92.
electric power transmission networks
93.
electrical distribution networks
94.
electrical networks
95.
embedded networks/NoC
96.
gateways (computer networks)
97.
generative adversarial networks
98.
geodetic networks
99.
global production networks
100.
graph attention networks
101.
graph convolutional networks
102.
heating and cooling networks
103.
heating networks
104.
hypar-formed networks
105.
IaaS cloud networks
106.
Impedance-source networks
107.
innovation networks
108.
IP networks
109.
iterative networks
110.
knowledge networks
111.
location-based social networks
112.
logistics networks
113.
Long Short-Term Memory Networks (LSTMs)
114.
low voltage networks
115.
low-voltage networks
116.
LSTM networks
117.
lumped parameter networks
118.
marketing networks
119.
metabolic networks and pathways
120.
mobile actuator-sensor networks (MAS-Net)
121.
multilayer networks
122.
NB-IoT networks
123.
networks
124.
networks coding
125.
neuro-fuzzy networks and guided missile
126.
non-terrestrial networks
127.
observational networks
128.
on-body networks (BANs)
129.
Online social networks
130.
Optical fiber networks
131.
optical fibre networks
132.
optical networks
133.
optimized routing approach for critical and emergency networks
134.
optimized routing approach for critical and emergency networks simulations
135.
packet switched networks
136.
partner networks
137.
Passive networks
138.
phantom cellular networks
139.
private networks
140.
production networks
141.
protein networks
142.
Public safety networks
143.
public safety networks (PSN)
144.
public safety networks (PSNs)
145.
radio access networks
146.
reconfigurable scan networks
147.
regional innovation networks
148.
scale-free networks
149.
sensor networks
150.
small district heating networks
151.
SME networks
152.
social networks
153.
social networks
154.
software defined networks (SDN)
155.
sorting networks
156.
supply networks
157.
transmission networks
158.
unreliable wireless networks
159.
WBANs (wireless body area networks)
160.
wearable wireless networks
161.
wearable wireless networks (WWNs)
162.
weighted networks
163.
wireless ad hoc sensor networks
164.
Wireless Body Area Networks
165.
wireless body area networks (WBANs)
166.
wireless body-to-body networks (BBN)
167.
wireless networks
168.
wireless sensor networks
169.
wireless sensor networks (WSN)
170.
virtual networks
171.
5G networks
172.
5G networks
173.
5G nomadic networks
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