Medical Defense Nanorobots (MDNRs): a new evaluation and selection of controller criteria for improved disease diagnosis and patient safety using NARMA(L2)-FOP + D(ANFIS)µ – Iλ-based Archimedes Optimization Algorithm

This article addresses the complexity of optimizing movements in Medical Defense Nanorobots (MDNRs) by proposing a novel integration approach. The challenge lies in selecting the Archimedes Optimization Algorithm (AOA) for MDNR movements, considering specific criteria for fractional-order proportion...

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Vydáno v:	International journal of information technology (Singapore. Online) Ročník 17; číslo 7; s. 3935 - 3945
Hlavní autoři:	Marhoon, Hamzah M., Basil, Noorulden, Mohammed, Abdullah Fadhil
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Singapore Springer Nature Singapore 01.09.2025 Springer Nature B.V
Témata:	Algorithms Artificial Intelligence Biocompatibility Communication Computer Imaging Computer Science Controllers Criteria Drug delivery systems Dynamical systems Image Processing and Computer Vision L-2 control Machine Learning Mathematical models Medical diagnosis Optimization Optimization techniques Original Research Patient safety Pattern Recognition and Graphics Proportional integral derivative Sensors Software Engineering Systems stability Vision NARMA-L2 controller Medical Defense Nanorobots ANFIS Fractional order proportional integral derivative controller Archimedes Optimization Algorithm
ISSN:	2511-2104, 2511-2112
On-line přístup:	Získat plný text
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