Results 1 to 10 of about 6,415,449 (238)
A Security-Enhanced Image Communication Scheme Using Cellular Neural Network [PDF]
Entropy, 2021 In the current network and big data environment, the secure transmission of digital images is facing huge challenges. The use of some methodologies in artificial intelligence to enhance its security is extremely cutting-edge and also a development trend.
Heping Wen +15 more
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IEEE Access, 2023 Robustness analysis of fuzzy cellular neural networks with deviating arguments and stochastic disturbances is the main topic of discussion in this paper. The issue at hand is what the upper bounds of the disturbances and deviating intervals for the fuzzy
Fang Wenxiang, Xie Tao, Li Biwen
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Robust hybrid synchronization control of chaotic 3-cell CNN with uncertain parameters using smooth super twisting algorithm [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2023 This paper presents the control design framework for the hybrid synchronization (HS) and parameter identification of the 3-Cell Cellular Neural Network.
Nazam Siddique +4 more
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Computational and topological properties of neural networks by means of graph-theoretic parameters
Alexandria Engineering Journal, 2023 A neural network is a computer system modeled on the nerve tissue and nervous system. In this sense, neural networks refer to systems of neurons, either organic or artificial in nature.
Asad Khan +5 more
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Biomolecules, 2021 Identifying localization of proteins and their specific subpopulations associated with certain cellular compartments is crucial for understanding protein function and interactions with other macromolecules. Fluorescence microscopy is a powerful method to
Kaisa Liimatainen +3 more
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Mathematics, 2021 Cellular neural networks with D operator and time-varying delays are found to be effective in demonstrating complex dynamic behaviors. The stability analysis of the pseudo-almost periodic solution for a novel neural network of this kind is considered in ...
Weide Liu, Jianliang Huang, Qinghe Yao
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Fractal and Fractional, 2023 A new fractional-order cellular neural network (CNN) system is solved using the Adomian decomposition method (ADM) with the hyperbolic tangent activation function in this paper. The equilibrium point is analyzed in this CNN system.
Hongli Cao, Ran Chu, Yuanhui Cui
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Nantong Daxue xuebao. Ziran kexue ban, 2020 The paper studies the global exponential synchronization problem of the memristor-based fuzzy cellular neural networks. First, by utilizing the Filippov solution and the measurable selection theorems, the memristor-based fuzzy cellular neural network is ...
MU Xiaohui;TANG Rongqiang;YANG Xinsong
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IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2019 In this article, we perform a uniform benchmarking for the convolutional neural network (CoNN) based on the cellular neural network (CeNN) using a variety of beyond-CMOS technologies.
Chenyun Pan +4 more
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Cellular Network Fault Diagnosis Method Based on a Graph Convolutional Neural Network
Sensors, 2023 The efficient and accurate diagnosis of faults in cellular networks is crucial for ensuring smooth and uninterrupted communication services. In this paper, we propose an improved 4G/5G network fault diagnosis with a few effective labeled samples.
Ebenezer Ackah Amuah +2 more
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