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Biomedical Waste Handling Method Using Artificial Intelligence Techniques
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Author(s): D. Sengeni (C.K. College of Engineering and Technology, India), G. Padmapriya (School of Computing, SRM Institute of Science and Technology, India), S. Sagar Imambi (Koneru Lakshmaiah Education Foundation, India), D. Suganthi (Saveetha College of Liberal Arts and Sciences, SIMATS, India), Ashish Suri (Shri Mata Vaishno Devi University, India)and S. Boopathi (Mythayammal Engineering College (Autonomous), India)
Copyright: 2023
Pages: 18
Source title:
Handbook of Research on Safe Disposal Methods of Municipal Solid Wastes for a Sustainable Environment
Source Author(s)/Editor(s): Prateek Srivastava (Chitkara University Institute of Engineering and Technology, Chitkara University, India), Durgaprasad Ramteke (Fibre and Particle Engineering, Faculty of Technology, University of Oulu, Finland), Ankush Kumar Bedyal (Department of Physics, School of Sciences, Cluster University of Jammu, India), Monika Gupta (Chitkara Business School, Chitkara University, India)and Jasminder Kaur Sandhu (Chitkara University Institute of Engineering and Technology, Chitkara University, India)
DOI: 10.4018/978-1-6684-8117-2.ch022
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Abstract
The handling of genetic residues, biohazardous waste, and other non-shrinkable materials such as e-waste is essential for the preservation of Mother Nature and human wellbeing. This chapter will bring forth different methods of managing biomedical wastes, inspecting the roots of the spread of the hazardous virus, and protecting the front-line warriors. To properly react to this disaster, each administration must create a backup strategy based on regional circumstances and the seriousness of the coronavirus's spread. Technology is being used to reduce the need for in-person medical appointments and save on the cost of treatment, which is a boon for human civilization in the context of the pandemic. The Central Pollution Control Board's existing rules provide a framework for managing healthcare waste with respect for the safety of the public. Bio-waste management strategies using IoT and IoMT techniques are illustrated in this chapter.
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