The overall research focus is centered on the integration of advanced mathematical models and innovative analytical techniques to enhance our ability to understand and predict complex phenomena across various domains. Through a blend of theoretical advancements in areas such as fractional differential equations, image processing methodologies, and epidemiological studies, researchers aim to develop robust frameworks that can be applied to fields ranging from health sciences to environmental management. By leveraging cutting-edge approaches like modified semiseparation methods, Chebyshev wavelets collocation techniques, and network information criterion adjustments, mathematical models are increasingly used to address challenges in disease spread, ecological systems, transportation planning, and public health interventions.
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