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              <text>IoT-Based automated dust bins and improved waste optimization techniques for Smart City</text>
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              <text>Effective waste management systems are essential for maintaining sustainability, environmental health, and cleanliness in the age of smart cities. This chapter provides a thorough analysis of the combination of cutting-edge waste minimization techniques with the deployment of an internet of things-based automatic dust bin. The suggested system optimizes garbage collection, lowers operating costs, and has a less environmental effect by combining the creative use of proximity sensors, real-time data analytics, and smart bin technologies. Remote monitoring and administration are made possible by the linked ecosystem that is created by the integration with the internet of things (IoT). In order to further promote environmentally friendly urban life, the study also examines waste-to-energy technology, circular economy ideas, and sustainable waste management techniques. The results provide insightful information for scholars, decision-makers, and urban planners looking for ground-breaking waste management solutions for today's cities.  2024, IGI Global.</text>
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              <text>Singh K.; Yadav M.; Yadav R.K.</text>
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              <text>Revolutionizing Automated Waste Treatment Systems: IoT and Bioelectronics, pp. 167-194.</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.4018/979-8-3693-6016-3.ch012" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3693-6016-3.ch012&lt;/a&gt;
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              <text>ISBN: 979-836936018-7; 979-836936016-3</text>
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              <text>Singh K., University Institute of Engineering and Technology, Maharshi Dayanand University, India; Yadav M., University Institute of Sciences, Chandigarh University, India; Yadav R.K., Christ University, India</text>
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