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Titlebook: Explainable Machine Learning for Multimedia Based Healthcare Applications; M. Shamim Hossain,Utku Kose,Deepak Gupta Book 2023 The Editor(s

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Software Engineering in the Cloud, subject, especially on explainable artificial intelligence, was carried out. It has been determined that the use of explainable artificial intelligence provides great advantages in terms of speed and cost in drug discovery.
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Explainable Machine Learning in Healthcare,lustrate how to leverage the WBCD dataset to build explainable machine learning to make an untrustworthy prediction trustworthy. The book chapter includes a case study that will be very useful to get more exposure to the same and helpful for the researchers working in the same field.
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Using Explainable Artificial Intelligence in Drug Discovery: A Theoretical Research, subject, especially on explainable artificial intelligence, was carried out. It has been determined that the use of explainable artificial intelligence provides great advantages in terms of speed and cost in drug discovery.
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re inherently “black box” and lack the ability to explain how a decision is made. In order to fill this gap, the concept of explainable artificial intelligence (XAI) is proposed. This chapter aims at providing a brief review of XAI terminologies, review studies, and methods.
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A Novel Approach of COVID-19 Estimation Using GIS and Kmeans Clustering: A Case of GEOAI,ted cases in India. Four states are in the red zone Viz. Maharashtra (44582), Tamil Nadu (14753), Gujarat (13268), and Delhi (12319). This paper aims to study the Covid-19 using Geographic Information Systems models and Artificial Intelligence algorithms.
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al knowledge and technical details for understanding the tarThis book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for applied research efforts but also theoret
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