Hospital Waste Management Using Internet of Things and Deep Learning-Reference-Cited by-同舟云学术

Hospital Waste Management Using Internet of Things and Deep Learning

Published:2023-10-02 Issue: Volume: Page:317-343
ISSN:2327-7033
Container-title:Advances in Bioinformatics and Biomedical Engineering
language:
Short-container-title:

Author:

Ugandar R. E.¹^ORCID,Rahamathunnisa U.²,Sajithra S.³,Christiana M. Beulah Viji⁴,Palai Basanta Kumar⁵,Boopathi Sampath⁶^ORCID

Affiliation:

1. Department of Pharmacy Practice, Santhiram College of Pharmacy, India

2. School of Information Technology and Engineering, Vellore Institute of Technology, India

3. Department of Computer Science and Engineering, R.M.K. Engineering College, India

4. Department of Management Studies, Panimalar Engineering College, India

5. Department of Mechanical Engineering, GIET University, India

6. Muthayammal Engineering College, India

Abstract

Hospital waste management is crucial for healthcare operations, ensuring safe disposal and handling of waste types. The integration of IoT and deep learning technologies offers a promising solution to address waste volumes and environmental concerns. This chapter presents an advanced research overview on hospital waste management using IoT and DL, exploring its potential benefits and applications. IoT-DL integration enables real-time monitoring of waste fill levels, temperature, and other parameters, while advanced DL techniques improve waste collection efficiency, segregation accuracy, and data-driven decision-making for optimized waste management practices. The chapter discusses challenges, benefits, challenges, and considerations in IoT implementation, waste sorting techniques, and ethical and environmental aspects, including sustainability and circular economy principles.

Publisher

IGI Global

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