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Design and simulation of optoelectronic neuron equivalentors as hardware accelerators of self-learning equivalent convolutional neural structures (SLECNS)

VG Krasilenko, AA Lazarev… - Neuro-inspired Photonic …, 2018 - spiedigitallibrary.org
In the paper, we consider the urgent need to create highly efficient hardware accelerators for
machine learning algorithms, including convolutional and deep neural networks (CNN and …

Simulation of continuously logical base cells (CL BC) with advanced functions for analog-to-digital converters and image processors

VG Krasilenko, AA Lazarev… - Emerging Imaging and …, 2017 - spiedigitallibrary.org
The paper considers results of design and modeling of continuously logical base cells (CL
BC) based on current mirrors (CM) with functions of preliminary analogue and subsequent …

Design and simulation of neuron-equivalentors array for creation of self-learning equivalent-convolutional neural structures (slecns)

V Krasilenko, N Yurchuk… - … університету.№ 3: 58-70., 2021 - ir.lib.vntu.edu.ua
In the paper, we consider the urgent need to create highly efficient hardware accelerators for
machine learning algorithms, including convolutional and deep neural networks (CNN and …

Design and simulation of image nonlinear processing relational preprocessor based on iterational sorting node

VG Krasilenko, AA Lazarev… - Optical Sensors …, 2019 - spiedigitallibrary.org
In this paper, we propose a new iterative process of sorting an array of signals, which differs
from the known structures of sorting signals by uniformity, versatility, which allows direct and …

Rank differences of signals by weighing-selection processing method for implementation of multifunctional image processing processor

VG Krasilenko, AA Lazarev… - Emerging Imaging and …, 2019 - spiedigitallibrary.org
In this paper, we proposed a new iterative process of sorting an array of signals, which
differs from the known structures of sorting signals by uniformity, versatility, which allows …

Simulation of cells for signals intensity transformation in mixed image processors and activation functions of neurons in neural networks

VG Krasilenko, AA Lazarev… - … університету.№ 5: 127 …, 2021 - ir.lib.vntu.edu.ua
The paper considers results of design, simulation of continuously logical pixel cells (CLPC)
based on current mirrors (CM) with functions of preliminary analogue processing for image …

A cryptographic protocol for creating a joint secret key-permutation of significant dimension and its modeling

VM Kychak, VG Krasilenko… - Proceedings of the III …, 2025 - ir.lib.vntu.edu.ua
The significant growth of information volumes, the rapid development of mass
communications, telecommunication networks, the latest tools and means of information …

Modeling nodes and cells of neuron-equivalentors as accelerators of equivalental-convolutional self-learning neural structures

VG Krasilenko, DV Nikitovich… - Modeling, control and …, 2024 - ir.lib.vntu.edu.ua
In the paper, we consider the urgent need to create highly efficient hardware accelerators for
machine learning and deep convolutional neural networks (CNNs), for associative memory …

Design and simulation of array cells for image intensity transformation and coding used in mixed image processors and neural networks

VG Krasilenko, AA Lazarev… - Optics and Photonics for …, 2018 - spiedigitallibrary.org
The paper considers results of design and simulation of continuously logical cells (CLC)
based on current mirrors (CM) with functions of preliminary analogue processing for image …