Secure and Energy-Efficient Data Transmission

Chaitra, H. V.; Ravikumar, G K

doi:10.1007/978-981-15-3514-7_98

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…The use of big data faces data transfer challenges such as security and resource savings. Chaitra and RaviKumar [33] solve these problems by creating a model and incorporating evolutionary algorithms into it. Secure data sharing is also very important in medicine.…”

Section: Datamentioning

confidence: 99%

Application of Evolutionary Artificial Intelligence. An Exploratory Literature Review

Maknickienė¹

2022

ABIS

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Evolutionary processes found in nature are of interest to developers and practitioners of artificial intelligence because of the ability to optimize, detect, classify, and predict complex man-made processes. Evolutionary artificial intelligence (EAI) is examined from various perspectives to evaluate the main research directions and the trend of the decade. Co-occurrence networks were used to visualize data and find key sub-themes in a dataset consisting of article titles. The literature review covers the following aspects of EAI applications: methods, detection, data, approach, and colony. The resulting co-occurrence networks show a huge increase in diversity in research methods, data and function application possibilities, and approaches. Although simulating the behaviour of colonies is not as popular as it was a decade ago, the scope of applications for known algorithms has not been diminished.

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Section: Datamentioning

confidence: 99%