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Faculty of Management Sciences

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Subject: search.filters.subject.Artificial intelligence

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    Artificial intelligence–based neural network for the diagnosis of diabetes and COVID
    (Universidad Tecnica de Manabi, 2022-07-01) Roland, Gilbert; Kumar, Navin; Gururaj, Bharathi; Richa, Richa; Bobade, Sunil Devidas; Lourens, Melanie Elizabeth
    In many nations, the prevalence of diabetes is rising, and its impact on national health cannot be overlooked. Smart medicine is a medical concept in which technology is used to aid in disease detection and treatment. The objective of this study is to take a gander at the information and look at changed diabetic mellitus forecasting algorithms. According to rising dismalness as of late, the quantity of diabetic patients worldwide will arrive at 642 million out of 2040, suggesting that one out of each 10persons would be affected. This worrisome figure, without a question, demands immediate attention. AI has been applied to an assortment of aspects of clinical wellbeing as a result of its rapid progress. To predict diabetes mellitus in this review, we utilized a choice tree, an arbitrary timberland, and a neural organization.
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    Role of machine learning in managing cloud computing security
    (IEEE, 2022-04-28) Kumar, Santosh; S, Nithya; Prethi, K.N. Apinaya; Singh, Suraj; Lourens, Melanie; Patil, Nisha
    Cloud computing is one of the most trending technology through which digitalized data management and storing becomes easier and more effective. However, besides the advancement of technology, data protection is another top priority concerning factor as millions of sensitive data are gets stored and transferred through the cloud computing system. As per the current days of cyber-activities, data security threat in cloud computing have increased, which posses threat in the development of the business. In that field, machine learning based advanced algorithm develop the virtual encrypted environment to protect the data from unauthorized access and hacking.