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On Variable-Order Fractional Discrete Neural Networks: Existence, Uniqueness and Stability
Given the recent advances regarding the studies of discrete fractional calculus, and the fact that the dynamics of discrete-time neural networks in fractional variable-order cases have not been sufficiently documented, herein, we consider a novel class ...
Othman Abdullah Almatroud +5 more
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A Novel Hybrid Genetic Modified Colliding Bodies Optimization for Designing of Composite Laminates [PDF]
This study presents a robust hybrid meta-heuristic optimization algorithm by merging Modified Colliding Bodies Optimization and Genetic Algorithm that is called GMCBO.
Mojtaba Sheikhi Azqandi
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Integrating Quantum and Satellites: A New Era of Connectivity
Quantum satellite networking is central to enabling quantum key distribution (QKD) and quantum-state transfer. Delving into the synergistic relations of quantum technology and satellite communications, we elucidate on continuous variable and discrete ...
Shabnam Sodagari
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Discrete-variable quantum key distribution with homodyne detection [PDF]
Most quantum key distribution (QKD) protocols can be classified as either a discrete-variable (DV) protocol or continuous-variable (CV) protocol, based on how classical information is being encoded.
Ignatius William Primaatmaja +5 more
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Variable-order fractional discrete calculus is a new and unexplored part of calculus that provides extraordinary capabilities for simulating multidisciplinary processes. Recognizing this incredible potential, the scientific community has been researching
Tareq Hamadneh +5 more
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Structural connection with predetermined discrete variable friction forces
This paper presents a simple and practical structural connection able to develop predetermined discrete variable friction forces at target design displacement levels. The innovative connection is termed Modified Friction Device (Modified FD).
Kaixin Chen +2 more
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In this research paper, we solve the problem of synchronization and anti-synchronization of chaotic systems described by discrete and time-delayed variable fractional-order differential equations. To guarantee the synchronization and anti-synchronization,
Joel Perez Padron +3 more
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Detecting Entanglement With Deep Quantum Neural Networks
Based on the theoretical basis of quantum computation, entanglement has been further explored as one of the key resources. An outstanding problem in quantum computation is the detecting of entanglement, but no closed-form algorithm exists.
Peng-Hui Qiu +2 more
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Chaos in a two dimensional fractional discrete Hopfield neural network and its control
A novel two-dimensional fractional discrete Hopfield neural network is presented in this study, which is based on discrete fractional calculus. This network incorporates both constant and variable orders, and its behavior is examined using phase plots ...
Abdallah Al-Husban +7 more
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Probabilistic Power Flow Method Considering Continuous and Discrete Variables
This paper proposes a probabilistic power flow (PPF) method considering continuous and discrete variables (continuous and discrete power flow, CDPF) for power systems. The proposed method—based on the cumulant method (CM) and multiple deterministic power
Xuexia Zhang, Zhiqi Guo, Weirong Chen
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