Supervised Neural Networks for Fruit Identification

Bandyopadhyay, Ahana; Ghosh, Sourodip; Bose, Moinak; Kessi, Louisa; Gaur, Loveleen

doi:10.1007/978-3-031-23599-3_16

Communications in Computer and Information Science

2023

DOI: 10.1007/978-3-031-23599-3_16

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Supervised Neural Networks for Fruit Identification

Ahana Bandyopadhyay¹,

Sourodip Ghosh²,

Moinak Bose³

et al.

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2023

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Ethical Considerations in the Use of the Metaverse for Healthcare

Gaur,

Afaq

2023

Advances in Medical Technologies and Clinical Practice

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The promotion of augmenting and enhancing healthcare in the ethical metaverse setting should be guided by the fundamental bioethical principles of beneficence, nonmaleficence, autonomy, and justice, focusing on minimising risks and adverse outcomes. Implementing a patient-centred strategy and establishing responsible regulatory measures are essential for harnessing the advantages of metaverse technology in the healthcare sector while effectively tackling the associated problems. The chapter explores the ethical considerations surrounding using metaverse technology within the healthcare sector.

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Ethical Considerations in the Use of the Metaverse for Healthcare

Gaur,

Afaq

2023

Advances in Medical Technologies and Clinical Practice

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Supervised Neural Networks for Fruit Identification

Cited by 1 publication

References 12 publications

Ethical Considerations in the Use of the Metaverse for Healthcare

Ethical Considerations in the Use of the Metaverse for Healthcare

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