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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)
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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