Gate‐Switchable Photovoltaic Effect in BP/MoTe2 van der Waals Heterojunctions for Self‐Driven Logic Optoelectronics
Recently, van der Waals heterojunction based on 2D materials emerges as a promising
technology for optoelectronic integrated circuits. Here, a self‐driven optoelectronic logic …
technology for optoelectronic integrated circuits. Here, a self‐driven optoelectronic logic …
[图书][B] Machine vision and navigation
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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 …
machine learning algorithms, including convolutional and deep neural networks (CNN and …
Modeling of biologically motivated self-learning equivalent-convolutional recurrent-multilayer neural structures (BLM_SL_EC_RMNS) for image fragments clustering …
VG Krasilenko, AA Lazarev… - MIPPR 2017: Pattern …, 2018 - spiedigitallibrary.org
The biologically-motivated self-learning equivalence-convolutional recurrent-multilayer
neural structures (BLM_SL_EC_RMNS) for fragments images clustering and recognition will …
neural structures (BLM_SL_EC_RMNS) for fragments images clustering and recognition will …
Designing and simulation smart multifunctional continuous logic device as a basic cell of advanced high-performance sensor systems with MIMO-structure
VG Krasilenko, AI Nikolskyy… - Photonics, Devices, and …, 2015 - spiedigitallibrary.org
We have proposed a design and simulation of hardware realizations of smart multifunctional
continuous logic devices (SMCLD) as advanced basic cells of the sensor systems with …
continuous logic devices (SMCLD) as advanced basic cells of the sensor systems with …
Simulation of reconfigurable multifunctional continuous logic devices as advanced components of the next generation high-performance MIMO-systems for the …
VG Krasilenko, AI Nikolskyy… - Next-Generation Optical …, 2014 - spiedigitallibrary.org
We consider design and modeling of hardware realizations of reconfigurable multifunctional
continuous logic devices (R MCL D) as advanced components of the next generation high …
continuous logic devices (R MCL D) as advanced components of the next generation high …
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 …
based on current mirrors (CM) with functions of preliminary analogue processing for image …
Research of optoimmittance logical elements
LB Lishchynska, EV Voytsekhovskaya… - … , Industry, and High …, 2019 - spiedigitallibrary.org
Bases of construction of optoimmittance logic are formulated, marketability's of
optoimmittance logical elements are considered, that will allow extending functional …
optoimmittance logical elements are considered, that will allow extending functional …
Design and Simulation of Array Cells of Mixed Sensor Processors for Intensity Transformation and Analog-Digital Coding in Machine Vision
The urgent need to create video sensors and processors for parallel (simultaneous by pixel)
image processing with advanced functionality and multichannel picture outputs is shown in …
image processing with advanced functionality and multichannel picture outputs is shown in …
Design of neuron-calculators for the normalized equivalence of two matrix arrays based on FPGA for self-learning equivalently convolutional neural networks …
VG Krasilenko, AA Lazarev… - Real-Time Image …, 2019 - spiedigitallibrary.org
First, in the introduction, we will show the urgent need to create neuron-calculators (NCs) for
the normalized equivalence of two matrix arrays for self-learning equivalently-convolutional …
the normalized equivalence of two matrix arrays for self-learning equivalently-convolutional …