An automatic classification method for environment: Friendly waste segregation using deep learning
S Sudha, M Vidhyalakshmi, K Pavithra… - … innovations in ict for …, 2016 - ieeexplore.ieee.org
Recent enforcement of law by the Indian government for the welfare of sanitation workers
has raised the need for an automated system in waste management. The existing garbage …
has raised the need for an automated system in waste management. The existing garbage …
[HTML][HTML] Application of deep learning object classifier to improve e-waste collection planning
P Nowakowski, T Pamuła - Waste Management, 2020 - Elsevier
This study investigates an image recognition system for the identification and classification
of waste electrical and electronic equipment from photos. Its main purpose is to facilitate …
of waste electrical and electronic equipment from photos. Its main purpose is to facilitate …
[HTML][HTML] Forecasting of municipal solid waste multi-classification by using time-series deep learning depending on the living standard
The type and quantity of municipal solid waste are important factors for determining how
these wastes should be handled, managed, and valorised. This paper investigates the effect …
these wastes should be handled, managed, and valorised. This paper investigates the effect …
Waste profiling and analysis using machine learning
F Shaikh, N Kazi, F Khan… - 2020 second international …, 2020 - ieeexplore.ieee.org
A large amount of solid waste is generated in the urban areas, and these wastes contain
different types of substances like organic wastes, paper, plastic, metal, glass, etc. which …
different types of substances like organic wastes, paper, plastic, metal, glass, etc. which …
Waste classification using convolutional neural network
Recycling of waste from households and industries, is one of the methods that has been
proposed to reduce the ever-increasing pressure on landfills. Different types of waste types …
proposed to reduce the ever-increasing pressure on landfills. Different types of waste types …
[HTML][HTML] Learning to identify illegal landfills through scene classification in aerial images
RN Torres, P Fraternali - Remote Sensing, 2021 - mdpi.com
Illegal landfills are uncontrolled disposals of waste that cause severe environmental and
health risk. Discovering them as early as possible is of prominent importance for preventing …
health risk. Discovering them as early as possible is of prominent importance for preventing …
[PDF][PDF] Artificial intelligence and machine learning in waste management and recycling
AAA Ahmed, A Asadullah - Engineering International, 2020 - academia.edu
Waste management is one of the biggest problems facing the world in any developed or
developing country. An important aspect of waste management is that the waste bin in the …
developing country. An important aspect of waste management is that the waste bin in the …
An approach to waste segregation and management using convolutional neural networks
Population explosion in India has led to an outburst of some major concerns, one of which is
the waste generation and disposal system. India is accountable for producing 12% of the …
the waste generation and disposal system. India is accountable for producing 12% of the …
Real time electronic-waste classification algorithms using the computer vision based on convolutional neural network (cnn): Enhanced environmental incentives
An innovative approach is needed to boost the economic value of e-waste by improving
metal recovery and facilitating the separation of plastics and valuable metal components …
metal recovery and facilitating the separation of plastics and valuable metal components …
[HTML][HTML] An ensemble learning based classification approach for the prediction of household solid waste generation
With the increase in urbanization and smart cities initiatives, the management of waste
generation has become a fundamental task. Recent studies have started applying machine …
generation has become a fundamental task. Recent studies have started applying machine …