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Emulated digital CNN‐UM solution of partial differential equations
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cta.204openalex-snapshot
A CNN framework for modeling parallel processing in a mammalian retina
inferredcites →https://doi.org/10.1023/a:1008141017714openalex-snapshot
An Emulated Digital CNN Implementation
inferredcites →https://doi.org/10.1109/cnna.1990.207519openalex-snapshot
Comparison of different numerical integration methods for simulating cellular neural networks
inferredcites →https://doi.org/10.1109/cnna.2000.876847openalex-snapshot
A stored program 2/sup nd/ order/3-layer complex cell CNN-UM
inferredcites →https://doi.org/10.1109/tcsi.2003.812611openalex-snapshot
Configurable multilayer CNN-UM emulator on FPGA
inferredcites →https://doi.org/10.1147/rd.494.0589openalex-snapshot
Introduction to the Cell multiprocessor
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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On global exponential stability of standard and full‐range CNNs
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Hyperchaotic signal generation via DSP for efficient perturbations to liquid mixing
inferred← citeshttps://doi.org/10.1002/cta.498openalex-snapshot
Analysis of the interaction between the retinal ON and OFF channels using CNN‐UM models
inferred← citeshttps://doi.org/10.1002/cta.507openalex-snapshot
Implementation of embedded emulated‐digital CNN‐UM global analogic programming unit on FPGA and its application
inferred← citeshttps://doi.org/10.1002/cta.508openalex-snapshot
Toward exploitation of cell multi‐processor array in time‐consuming applications by using CNN model
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Toward an autonomous platform for spatio‐temporal EEG‐signal analysis based on cellular nonlinear networks
inferred← citeshttps://doi.org/10.1002/cta.565openalex-snapshot
Simulation of 2D inviscid, adiabatic, compressible flows on emulated digital CNN‐UM
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Stochastic bitstream‐based CNN and its implementation on FPGA
inferred← citeshttps://doi.org/10.1007/978-3-319-04370-8_8openalex-snapshot
Reconfigurable Implementation of a CNN-UM Platform for Fast Dynamical Systems Simulation
inferred← citeshttps://doi.org/10.1007/s00034-010-9221-5openalex-snapshot
A Configurable Digital Cellular Neural Network with Template Decomposition
inferred← citeshttps://doi.org/10.1016/j.jocs.2025.102587openalex-snapshot
Data assimilation by cellular neural network applied to Lorenz-63 system
inferred← citeshttps://doi.org/10.1049/iet-gtd.2008.0541openalex-snapshot
Analogue emulation of power system load behaviour
inferred← citeshttps://doi.org/10.1109/cnna.2006.341593openalex-snapshot
A Real-time Mammalian Retina Model Implementation on FPGA
inferred← citeshttps://doi.org/10.1109/cnna.2008.4588642openalex-snapshot
DT-CNN emulator: 3D heat equation solver with applications on the non-destructive soil inspection
inferred← citeshttps://doi.org/10.1109/cnna.2008.4588669openalex-snapshot
Emulated digital CNN-UM on different kind of array processors
inferred← citeshttps://doi.org/10.1109/cnna.2008.4588670openalex-snapshot
Toward exploitation of cell multi-processor array in time-consuming applications by using CNN model
inferred← citeshttps://doi.org/10.1109/cnna.2008.4588672openalex-snapshot
Two-dimensional Compressible Flow Simulation on Emulated Digital CNN-UM
inferred← citeshttps://doi.org/10.1109/cnna.2008.4588673openalex-snapshot
FPGA based emulated-digital CNN-UM implementation with GAPU
inferred← citeshttps://doi.org/10.1109/cnna.2008.4588678openalex-snapshot
SIMD array on FPGA for B/W image processing
inferred← citeshttps://doi.org/10.1109/cnna.2010.5430256openalex-snapshot
Variational computing based segmentation methods for medical imaging by using CNN
inferred← citeshttps://doi.org/10.1109/cnna.2010.5430318openalex-snapshot
Computational fluid flow simulation on body fitted mesh geometry with FPGA based emulated digital cellular neural networks
inferred← citeshttps://doi.org/10.1109/cnna.2012.6331439openalex-snapshot
Examining the accuracy and the precision of PDEs for FPGA computations
inferred← citeshttps://doi.org/10.1109/ecctd.2007.4529590openalex-snapshot
CNN model on cell multiprocessor array
inferred← citeshttps://doi.org/10.1109/ecctd.2009.5274972openalex-snapshot
Variational computing based images denoising methods by using cellular neural networks
inferred← citeshttps://doi.org/10.1109/inds.2009.5227975openalex-snapshot
Solving stiff ordinary differential equations and partial differential equations using analog computing based on cellular neural networks
inferred← citeshttps://doi.org/10.1109/iscas.2015.7168933openalex-snapshot
Wave computer core using fixed-point arithmetic
inferred← citeshttps://doi.org/10.1109/iscas.2015.7169062openalex-snapshot
Analysis of parallel processor architectures for the solution of the Black-Scholes PDE
inferred← citeshttps://doi.org/10.1109/isscs.2009.5206128openalex-snapshot
PDE-based medical images denoising using Cellular Neural Networks
inferred← citeshttps://doi.org/10.1109/isscs.2011.5978686openalex-snapshot
A CNN based correlation algorithm to assist visually impaired persons
inferred← citeshttps://doi.org/10.1109/tnnls.2013.2252924openalex-snapshot
FPGA-Based Distributed Computing Microarchitecture for Complex Physical Dynamics Investigation
inferred← citeshttps://doi.org/10.1145/3079856.3080252openalex-snapshot
A Programmable Hardware Accelerator for Simulating Dynamical Systems
inferred← citeshttps://doi.org/10.1155/2009/923404openalex-snapshot
Simulation of Two-Dimensional Supersonic Flows on Emulated-Digital CNN-UM
inferred← citeshttps://doi.org/10.1556/irase.2.2011.1.7openalex-snapshot
Image-based motion planning for two mobile robots in an environment with obstacles by using cellular neural networks
inferred← citeshttps://doi.org/10.15837/ijccc.2010.5.2231openalex-snapshot
A Homogeneous Algorithm for Motion Estimation and Compensation by Using Cellular Neural Networks
inferred← citeshttps://doi.org/10.5772/7068openalex-snapshot
An FPGA-based Topographic Computer for Binary Image Processing
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