Dynamic properties of an SARS-CoV-2 epidemic model via stochastic PINNs. [PDF]
Infect Dis ModelXie L, Yang J, Li Z.
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An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges. [PDF]
Artif Intell Rev, 2023 Rajwar K, Deep K, Das S.
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A new modified incomprehensible but intelligible-in-time logics algorithm for modeling solid oxide fuel cell. [PDF]
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Development and evaluation of hybrid harris hawks optimization algorithms for advanced engineering applications. [PDF]
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Superspreading dynamics in epidemics: a deep learning and Bayesian inference framework for detection and characterization [PDF]
Superspreading events (SSEs) play a pivotal role in shaping epidemic dynamics, often driving large outbreaks and complicating control efforts. These events occur when a small group of individuals, known as superspreaders, infects disproportionately large
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Capsule neural network and adapted golden search optimizer based forest fire and smoke detection. [PDF]
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QPSODRL: an improved quantum particle swarm optimization and deep reinforcement learning based intelligent clustering and routing protocol for wireless sensor networks. [PDF]
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Immunity-based Ebola optimization search algorithm for minimization of feature extraction with reduction in digital mammography using CNN models. [PDF]
Sci Rep, 2022 Oyelade ON, Ezugwu AE.
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Continuous-time robust frequency regulation in isolated microgrids with decentralized fixed structure μ-synthesis and comparative analysis with PID and FOPID controllers. [PDF]
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Forward-thinking frequency management in islanded marine microgrid utilizing heterogeneous source of generation and nonlinear control assisted by energy storage integration. [PDF]
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