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Architecture optimization techniques for Convolutional Neural Networks: further experiments and insights.

• Authors : Sobolewski, Artur¹ ; Szyc, Kamil¹

• Source: International Journal of Electronics & Telecommunications. 2024, Vol. 70 Issue 1, p87-94. 8p.

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Non-intrusive method for audio quality assessment of lossy-compressed music recordings using convolutional neural networks

• Authors : Aleksandra Kasperuk; Sławomir Krzysztof Zieliński

Subjects: objective audio quality assessment; non-intrusiveaudio quality evaluation; convolutional neural networks

• Source: International Journal of Electronics and Telecommunications, Vol vol. 70, Iss No 2, Pp 331-339 (2024)

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Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networks.

• Authors : SKOWRON, M.¹; WOLKIEWICZ, M.¹; TARCHAŁA, G.¹

• Source: Bulletin of the Polish Academy of Sciences: Technical Sciences. 2020, Vol. 68 Issue 5, p1039-1048. 10p.

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COMPARATIVE STUDY ON DIFFERENT CNN ARCHITECTURES DEVELOPED ON MICROSTRUCTURAL CLASSIFICATION IN AL-SI ALLOYS.

• Authors : KALKAN, M. F.¹ ; ALADAG, M.²; KURZYDLOWSKI, K. J.²

• Source: Archives of Metallurgy & Materials. 2024, Vol. 69 Issue 2, p563-570. 8p.

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Architecture optimization techniques for Convolutional Neural Networks: further experiments and insights

• Authors : Artur Sobolewski; Kamil Szyc

Subjects: model compression; convolutional neural network; computer vision

• Source: International Journal of Electronics and Telecommunications, Vol vol. 70, Iss No 1 (2024)

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Robot sensor failure detection system based on convolutional neural networks for calculation of Euler angles.

• Authors : ŚWIETLICKA, A.¹ ; KOLANOWSKI, K.¹

• Source: Bulletin of the Polish Academy of Sciences: Technical Sciences. 2020, Vol. 68 Issue 6, p1525-1533. 9p.

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Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networks

• Authors : M. Skowron; M. Wolkiewicz; G. Tarchała

Subjects: diagnostics; stator faults; field-oriented control

• Source: Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 68, Iss No. 5 (i.a. Special Section on Modern control of drives and power converters), Pp 1039-1048

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Application of convolutional neural networks with anatomical knowledge for brain MRI analysis in MS patients

• Authors : B. Stasiak; P. Tarasiuk; I. Michalska

Subjects: multiple sclerosis; convolutional neural networks; skull stripping

• Source: Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 66, Iss No 6 (Special Section on Deep Learning: Theory and Practice), Pp 857-868 (2018)

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Speeding-up convolutional neural networks: A survey

• Authors : V. Lebedev; V. Lempitsky

Subjects: convolutional neural networks; resource-efficient computation; algorithm optimization

• Source: Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 66, Iss No 6 (Special Section on Deep Learning: Theory and Practice), Pp 799-810 (2018)

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Anonymous traffic classification based on three-dimensional Markov images and deep learning.

• Authors : Xin TANG^1,2; Huanzhou LI^1,2 ; Jian ZHANG^1,2

• Source: Bulletin of the Polish Academy of Sciences: Technical Sciences. Aug2023, Vol. 71 Issue 4, p1-12. 12p.

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