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Besicovitch Almost Anti-periodic Solution of Octonion-Valued Cohen–Grossberg Neural Networks with Delays on Time Scales
In this work, we put forward a concept of Besicovitch almost anti-periodic functions on time scales, which is new even when time scale
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On the Weighted Pseudo Almost-Periodic Solutions of Static DMAM Neural Network
This work is devoted to study a new class of static neural network. We propose a static multidirectional associative memory neural network with...
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Stepanov-Like Almost Periodic Dynamics of Clifford-Valued Stochastic Fuzzy Neural Networks with Time-Varying Delays
In this paper, we study the Stepanov-like almost periodic dynamics for a class of Clifford-valued stochastic fuzzy neural networks with time-varying...
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Existence and Finite-Time Stability of Besicovitch Almost Periodic Solutions of Fractional-Order Quaternion-Valued Neural Networks with Time-Varying Delays
Almost periodic oscillation is an important dynamics of neural networks. Therefore, there have been many studies on Bohr almost periodic, Stepanov...
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Dimensional Aspects of Almost Periodic Dynamics
The first part (Sects. 4.2, 4.3, 4.5 and 4.6) of the present chapter contains several approaches to the investigation of the Fourier spectrum of...
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Scalable almost-linear dynamical Ising machines
The past decade has seen the emergence of Ising machines targeting hard combinatorial optimization problems by minimizing the Ising Hamiltonian with...
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Discovering Top-K Partial Periodic Patterns in Big Temporal Databases
Partial periodic pattern mining involves discovering all the patterns in a temporal database that satisfy the specified minimum periodic support...
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Seasonal terrain texture synthesis via Köppen periodic conditioning
This paper presents the first method for synthesizing seasonal transition of terrain textures for an input heightfield. Our method reproduces a...
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Weighted Pseudo Almost-Automorphic Solutions of Quaternion-Valued RNNs With Mixed Delays
This work deals with a nonlinear differential equation for a quaternion-valued recurrent neural network. By using the contraction map** principle...
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Asymptotically Almost Automorphic Solutions for Impulsive Quaternion-Valued Neural Networks with Mixed Delays
In this paper, we consider a class of impulsive quaternion-valued neural networks with mixed delays. By using the General Lipschitz condition, the...
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DICEguard: enhancing DICE security for IoT devices with periodic memory forensics
The number of Internet-of-Things (IoT) devices has been increasing rapidly every year. Most of these devices have access to important personal data...
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An array of two periodic leaky-wave antennas with sum and difference beam scanning for application in target detection and tracking
An array of two substrate-integrated waveguide (SIW) periodic leaky-wave antennas (LWAs) with sum and difference beam scanning is proposed for...
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Utilizing periodic feature-enhanced neural-field modeling for the photorealistic representation of human head avatars
This paper introduces a groundbreaking neural representation technique known as periodic feature-enhanced neural-field modeling (PNM) tailored for 3D...
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Global Asymptotic Stability of Anti-Periodic Solutions of Time-Delayed Fractional Bam Neural Networks
In this study, bidirectional fractional-order BAM neural networks with time-varying delays are examined. Time delay is an important phenomenon in the...
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Stepanov-Like Pseudo Almost Periodic Solution of Quaternion-Valued for Fuzzy Recurrent Neural Networks with Mixed Delays
Real-valued neural networks or complex-valued neural networks are sometimes inappropriate for some engineering and research problems for instance...
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WaveNets: physics-informed neural networks for full-field recovery of rotational flow beneath large-amplitude periodic water waves
We formulate physics-informed neural networks (PINNs) for full-field reconstruction of rotational flow beneath nonlinear periodic water waves using a...
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Rectilinear Periodic Motions of Systems with Internal Bodies
In this chapter, we consider rectilinear motions of mobile systems that move in resistive media without external propelling devices (legs, wheels,...
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Discovering Top-k Periodic-Frequent Patterns in Very Large Temporal Databases
Discovering periodic-frequent patterns in temporal databases is a challenging data mining problem with abundant applications. It involves discovering...
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Almost periodic solutions of quaternion-valued neutral type high-order Hopfield neural networks with state-dependent delays and leakage delays
In this paper, we consider the existence and global exponential stability of almost periodic solutions for a class of quaternion-valued neutral type...
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Piecewise Pseudo Almost-Periodic Solutions of Impulsive Fuzzy Cellular Neural Networks with Mixed Delays
This article examines the existence of the unique piecewise pseudo almost periodic for impulsive fuzzy cellular neural networks by using the...
