A Novel YOLOv3 Algorithm-Based Deep Learning Approach for Waste Segregation: Towards Smart Waste Management
The colossal increase in environmental pollution and degradation, resulting in ecological imbalance, is an eyecatching concern in the contemporary era. Moreover, the proliferation in the development of smart cities across the globe necessitates the emergence of a robust smart waste management system...
Main Authors: | Saurav Kumar, Drishti Yadav, Himanshu Gupta, Om Prakash Verma, Irshad Ahmad Ansari, Chang Wook Ahn |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/10/1/14 |
Similar Items
-
Mini-YOLOv3: Real-Time Object Detector for Embedded Applications
by: Qi-Chao Mao, et al.
Published: (2019-01-01) -
Status and challenges of waste segregation in residential communities
by: P. Anshuman, et al.
Published: (2019-10-01) -
Segregation for reduction of regulated medical waste in the operating room: a case report
by: Helen Ki Shinn, et al.
Published: (2017-02-01) -
Ship Detection Based on YOLOv2 for SAR Imagery
by: Yang-Lang Chang, et al.
Published: (2019-04-01) -
Self-reported healthcare waste segregation practice and its correlate among healthcare workers in hospitals of Southeast Ethiopia
by: Biniyam Sahiledengle
Published: (2019-08-01)