Comparison of Challenges and Problems Encountered in the Practice of Exclusive Breast Feeding by Primiparous and Multiparous Women in Rural Areas of Sindh, Pakistan: A Cross-Sectional Study

Zafar, Sana; Shamim, Khizer; Mehwish, Syeda; Arshad, Mohsin; Barkat, Rahil

doi:10.7759/cureus.r48

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2023

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“…Hassan et al [124] proposed a binary SMA for feature selection. Mehwish Zafar et al [149] used SMA to extract informative features and input them into to SVM and KNN classifiers to design a multi-classification of the skin lesions. Sayed GI et al [154] introduced a pistachio species classification method on the basis of SMA.…”

Section: Machine Learningmentioning

confidence: 99%

Advances in Slime Mould Algorithm: A comprehensive Survey

Wei,

Othman,

Daud

et al. 2023

Preprint

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Slime Mould Algorithm (SMA) is a new swarm intelligence algorithm inspired by the oscillatory behavior of slime molds during foraging. Numerous researchers have widely applied SMA and its variants in various domains and proved its value by the experiments in literatures. In this paper a comprehensive survey on SMA is introduced, which is based on 130 articles visa Google-scholar between 2022 and July, 2023. Firstly, the theory of SMA is described. Secondly the improved SMA variants are provided and categorized according to the approach that they are applied with. Finally, it also discusses the main applications domains of SMA such as engineering optimization, energy optimization, machine learning, network, scheduling optimization, image segmentation and etc. This review presents some research suggestion for researcher who is interested in this algorithm.

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Section: Machine Learningmentioning

confidence: 99%