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26
book article
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
book article
27
journal article EST
/
journal article 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
journal article EST
/
journal article ENG
28
journal article
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
journal article
29
journal article EST
/
journal article 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
journal article EST
/
journal article ENG
30
book article
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
book article
31
book article
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
book article
32
book article
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
book article
33
book article
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
book article
34
book article
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
book article
35
book article EST
/
book article 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
book article EST
/
book article ENG
36
book article EST
/
book article 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
book article EST
/
book article ENG
37
book article EST
/
book article 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
book article EST
/
book article ENG
Related publications
1
Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks
38
journal article EST
/
journal article 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
journal article EST
/
journal article ENG
Related publications
1
Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
39
book article
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
book article
Related publications
1
Novel Neural Network accelerator architectures for FPGAs = Uudsed närvivõrkude kiirendite arhitektuurid FPGAdele
40
book article
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
book article
41
journal article EST
/
journal article 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
journal article EST
/
journal article ENG
Related publications
1
Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega
Number of records 41, displaying
26 - 41
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156
1.
artificial neural networks
2.
artificial neural networks (ANN)
3.
constrained artificial neural networks
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.
graph neural networks
12.
multilayer neural networks
13.
neural networks
14.
neural-networks
15.
pre-trained neural networks
16.
recurrent neural networks
17.
recurrent neural networks (RNN)
18.
artificial neural network
19.
Binarized Neural Network (BNN)
20.
cascaded forward neural network (CFNN)
21.
Convolutional Neural Network
22.
convolutional neural network (CNN)
23.
deep convolutional neural network
24.
deep neural network
25.
deep neural network compression
26.
feedforward neural network (FFNN)
27.
Graph Convolutional Neural Network (GCN)
28.
GraphSAGE (Graph Based Neural Network)
29.
human neural progenitor cells
30.
linear Delta robots neural network based model
31.
LSTM neural network
32.
neural activity
33.
neural additive model
34.
neural architecture search
35.
neural controller
36.
neural development
37.
neural fuzzy modelling control
38.
neural machine translation
39.
neural net
40.
neural network
41.
neural network architecture search
42.
neural network controller
43.
neural network modelling
44.
neural network predictive controller
45.
neural oscillations
46.
neural processing unit
47.
neural stimulation
48.
Radial Basis Function Neural Network (RBFNN)
49.
recurrent neural network language model
50.
Residual Neural Network
51.
spiking neural network (SNN)
52.
Ternary Neural Network
53.
adaptive networks
54.
ad-hoc sensor networks security
55.
automotive communication networks
56.
Bayesian Belief Networks
57.
Bayesian networks
58.
binary search networks
59.
binary sensor networks
60.
body area networks
61.
body sensor networks
62.
cellular networks
63.
communication networks
64.
complex networks
65.
computer networks
66.
content distribution networks
67.
content-addressable storage networks
68.
convolutional networks
69.
cross-border communication networks
70.
decentralized content-addressable storage (DCAS) networks
71.
developmental networks
72.
diffusion networks
73.
digital twin networks (DTNs)
74.
distribution networks
75.
district heating networks
76.
Dynamic networks
77.
dynamics over networks
78.
ecological networks
79.
economic networks
80.
electric power transmission networks
81.
electrical distribution networks
82.
electrical networks
83.
embedded networks/NoC
84.
gateways (computer networks)
85.
generative adversarial networks
86.
geodetic networks
87.
global production networks
88.
graph attention networks
89.
graph convolutional networks
90.
heating and cooling networks
91.
heating networks
92.
hypar-formed networks
93.
IaaS cloud networks
94.
Impedance-source networks
95.
innovation networks
96.
IP networks
97.
iterative networks
98.
knowledge networks
99.
location-based social networks
100.
logistics networks
101.
Long Short-Term Memory Networks (LSTMs)
102.
low voltage networks
103.
low-voltage networks
104.
lumped parameter networks
105.
marketing networks
106.
metabolic networks and pathways
107.
mobile actuator-sensor networks (MAS-Net)
108.
multilayer networks
109.
NB-IoT networks
110.
networks
111.
networks coding
112.
neuro-fuzzy networks and guided missile
113.
non-terrestrial networks
114.
observational networks
115.
on-body networks (BANs)
116.
Online social networks
117.
Optical fiber networks
118.
optical fibre networks
119.
optical networks
120.
optimized routing approach for critical and emergency networks
121.
optimized routing approach for critical and emergency networks simulations
122.
packet switched networks
123.
partner networks
124.
Passive networks
125.
phantom cellular networks
126.
private networks
127.
production networks
128.
Public safety networks
129.
public safety networks (PSN)
130.
public safety networks (PSNs)
131.
reconfigurable scan networks
132.
regional innovation networks
133.
scale-free networks
134.
sensor networks
135.
small district heating networks
136.
SME networks
137.
social networks
138.
social networks
139.
software defined networks (SDN)
140.
sorting networks
141.
supply networks
142.
transmission networks
143.
unreliable wireless networks
144.
WBANs (wireless body area networks)
145.
wearable wireless networks
146.
wearable wireless networks (WWNs)
147.
weighted networks
148.
wireless ad hoc sensor networks
149.
Wireless Body Area Networks
150.
wireless body area networks (WBANs)
151.
wireless body-to-body networks (BBN)
152.
wireless networks
153.
wireless sensor networks
154.
virtual networks
155.
5G networks
156.
5G networks
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