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1
book article
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
book article
2
book article
APPRAISER : DNN fault resilience analysis employing approximation errors
Taheri, Mahdi
;
Ahmadilivani, Mohammad Hasan
;
Jenihhin, Maksim
;
Daneshtalab, Masoud
;
Raik, Jaan
2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)
2023
/
p. 124−127 : ill
https://ddecs2023.taltech.ee/
https://doi.org//10.1109/DDECS57882.2023.10139468
book article
Related publications
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
3
book article
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
book article
4
book article EST
/
book article 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
book article EST
/
book article ENG
5
journal article EST
/
journal article 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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
6
journal article
Charge Diagnostics and State Estimation of Battery Energy Storage Systems Through Transformer Models
Zequera, Rolando Antonio Gilbert
;
Rassõlkin, Anton
;
Vaimann, Toomas
;
Kallaste, Ants
IEEE Access
2025
/
p. 17733–17744 : ill
https://doi.org//10.1109/ACCESS.2025.3532858
journal article
Related publications
1
Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites
7
book article
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
book article
Related publications
1
Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega
8
journal article
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
2025
/
p. 668-682
https://doi.org/10.1109/TIV.2024.3417216
journal article
Related publications
1
Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites
9
journal article
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
journal article
10
book article
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
book article
11
book article
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.
book article
Related publications
1
Novel Neural Network accelerator architectures for FPGAs = Uudsed närvivõrkude kiirendite arhitektuurid FPGAdele
12
book article
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
book article
13
book article
Evaluating the robustness of ML models to out-of-distribution data through similarity analysis
Lindén, Joakim
;
Forsberg, Håkan
;
Daneshtalab, Masoud
;
Söderquist, Ingemar
New Trends in Database and Information Systems; ADBIS 2023 Short Papers, Doctoral Consortium and Workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023, Proceedings
2023
/
p. 348 - 359
https://doi.org/10.1007/978-3-031-42941-5_30
book article
14
book article
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
book article
15
book article
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
book article
Related publications
1
IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks
16
journal article
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
journal article
17
book article
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
book article
18
journal article EST
/
journal article ENG
Kolmogorov-Arnold networks for algorithm design in battery energy storage system applications
Zequera, Rolando Antonio Gilbert
;
Rassõlkin, Anton
;
Vaimann, Toomas
;
Kallaste, Ants
Energy Reports
2025
/
p. 2664-2677
https://doi.org/10.1016/j.egyr.2025.02.002
journal article EST
/
journal article ENG
Related publications
1
Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites
19
journal article EST
/
journal article ENG
Lightweight CNN-based Microfluidic Droplet Classification for Portable Imaging Flow Cytometry
Afrin, Fariha
;
Le Moullec, Yannick
;
Pardy, Tamas
;
Rang, Toomas
Proceedings of the Estonian Academy of Sciences
2025
/
p. 302-311
https://doi.org/10.3176/proc.2025.2S.05
journal article EST
/
journal article ENG
Related publications
1
Microfluidic Droplet Detection, Classification and Quality Assessment for Embedded Flow Cytometry Systems = Tilkade tuvastamine mikrofluidikas, nende klassifitseerimine ja kvaliteedi hindamine sardsetes voolutsütomeetria süsteemides
20
book article
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
book article
Related publications
1
Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
21
journal article EST
/
journal article 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
journal article EST
/
journal article ENG
22
journal article EST
/
journal article 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
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
23
book article EST
/
book article ENG
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
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
Related publications
1
Microfluidic Droplet Detection, Classification and Quality Assessment for Embedded Flow Cytometry Systems = Tilkade tuvastamine mikrofluidikas, nende klassifitseerimine ja kvaliteedi hindamine sardsetes voolutsütomeetria süsteemides
24
book article
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
book article
25
book article
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
book article
Number of records 41, displaying
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artificial neural networks
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artificial neural networks (ANN)
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constrained artificial neural networks
4.
Constrained neural networks
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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 positioning algorithms
45.
neural network predictive controller
46.
neural oscillations
47.
neural processing unit
48.
neural stimulation
49.
Radial Basis Function Neural Network (RBFNN)
50.
recurrent neural network language model
51.
Residual Neural Network
52.
spiking neural network (SNN)
53.
Ternary Neural Network
54.
transformer-based neural network
55.
adaptive networks
56.
ad-hoc sensor networks security
57.
automotive communication networks
58.
Bayesian Belief Networks
59.
Bayesian networks
60.
binary search networks
61.
binary sensor networks
62.
body area networks
63.
body sensor networks
64.
cellular networks
65.
communication networks
66.
complex networks
67.
computer networks
68.
content distribution networks
69.
content-addressable storage networks
70.
convolutional networks
71.
cross-border communication networks
72.
decentralized content-addressable storage (DCAS) networks
73.
developmental networks
74.
diffusion networks
75.
digital twin networks (DTNs)
76.
distribution networks
77.
district heating networks
78.
Dynamic networks
79.
dynamics over networks
80.
ecological networks
81.
economic networks
82.
electric power transmission networks
83.
electrical distribution networks
84.
electrical networks
85.
embedded networks/NoC
86.
gateways (computer networks)
87.
generative adversarial networks
88.
geodetic networks
89.
global production networks
90.
graph attention networks
91.
graph convolutional networks
92.
heating and cooling networks
93.
heating networks
94.
hypar-formed networks
95.
IaaS cloud networks
96.
Impedance-source networks
97.
innovation networks
98.
IP networks
99.
iterative networks
100.
knowledge networks
101.
location-based social networks
102.
logistics networks
103.
Long Short-Term Memory Networks (LSTMs)
104.
low voltage networks
105.
low-voltage networks
106.
lumped parameter networks
107.
marketing networks
108.
metabolic networks and pathways
109.
mobile actuator-sensor networks (MAS-Net)
110.
multilayer networks
111.
NB-IoT networks
112.
networks
113.
networks coding
114.
neuro-fuzzy networks and guided missile
115.
non-terrestrial networks
116.
observational networks
117.
on-body networks (BANs)
118.
Online social networks
119.
Optical fiber networks
120.
optical fibre networks
121.
optical networks
122.
optimized routing approach for critical and emergency networks
123.
optimized routing approach for critical and emergency networks simulations
124.
packet switched networks
125.
partner networks
126.
Passive networks
127.
phantom cellular networks
128.
private networks
129.
production networks
130.
Public safety networks
131.
public safety networks (PSN)
132.
public safety networks (PSNs)
133.
reconfigurable scan networks
134.
regional innovation networks
135.
scale-free networks
136.
sensor networks
137.
small district heating networks
138.
SME networks
139.
social networks
140.
social networks
141.
software defined networks (SDN)
142.
sorting networks
143.
supply networks
144.
transmission networks
145.
unreliable wireless networks
146.
WBANs (wireless body area networks)
147.
wearable wireless networks
148.
wearable wireless networks (WWNs)
149.
weighted networks
150.
wireless ad hoc sensor networks
151.
Wireless Body Area Networks
152.
wireless body area networks (WBANs)
153.
wireless body-to-body networks (BBN)
154.
wireless networks
155.
wireless sensor networks
156.
virtual networks
157.
5G networks
158.
5G networks
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