ENHANCING MEDICAL IMAGE CLASSIFICATION THROUGH PSO-OPTIMIZED DUAL DETERMINISTIC APPROACH AND ROBUST TRANSFER LEARNING

Enhancing Medical Image Classification Through PSO-Optimized Dual Deterministic Approach and Robust Transfer Learning

Effective transfer learning, within medical image classification, is probably one of the most critical areas of research due to the associated complexities with the nature of medical images.These involve variations in the acquisition techniques of images, resolutions, modalities, and patient demographics.This study aims to develop a robust transfer

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Hantavirus inhibits apoptosis by preventing mitochondrial membrane potential loss through up-regulation of the pro-survival factor BCL-2.

Hantaviruses, zoonotic RNA viruses belonging to the order Bunyavirales, cause two severe acute diseases in humans, hemorrhagic fever with renal syndrome (HFRS) and hantavirus pulmonary syndrome (HPS).Hantavirus-infected patients show strong cytotoxic lymphocyte responses and hyperinflammation; however, infected cells remain mostly intact.Hantavirus

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Analytic Solutions of Special Functional Equations

We recall some of our earlier results on the construction of a mapping defined implicitly, without using the implicit function theorem.All these considerations work in the real case, for functions and operators.Then we consider the complex case, proving Hair Dryers the analyticity of the function defined implicitly, under Other certain hypothesis.S

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