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Recently Added
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Deep learning with LSTM networks for dengue disease forecasting and control
(Springer Nature, 2026-07-17)Accurate forecasting of infectious disease dynamics is essential for effective public health planning and early outbreak response. Traditional statistical models and modern deep learning approaches have both been widely ... -
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(Asian University for Women, 2026-04-21) -
Assessing the Trade-Off between Voluntary and Forced Interventions to Control the Emergence of Recurring Pandemics—An Evolutionary Game-Theoretic Modeling
(Scientific Research, 2025-03-26)In this study, we aim to examine the dynamics of diseases by employing both voluntary and forced control strategies backed by evolutionary game theory (EGT). The impact of quarantine is investigated through our suggested ... -
Mathematical Analysis of a Resource-Based Dispersal Model With Gompertz Growth and Optimal Harvesting
(WILEY, 2025)Gompertz dynamics offer significant applications for the growth of invasive species, cancer modeling, optimal harvesting policies, sustainable yield, and maintaining population levels due to its pattern formation in ... -
Solutions of Nonlinear Parabolic PDEs: A Novel Technique Based on Galerkin-Finite Difference Residual Corrections
(WILEY, 2025-10-25)Numerical solutions for second-order parabolic partial differential equations (PDEs), specifically the nonlinear heat equation, are investigated with a focus on analyzing residual corrections. Initially, the Galerkin ...
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