Smart waste management system

MN Ab Wahab, SC Tay, AS Abdull Sukor… - Proceedings of the 12th …, 2022 - Springer
The increasing amount of waste in landfill has created a serious environmental problem
which demands a more reliable solution in handling the collection of wastes. To this date …

AI based waste classifier with thermo-rapid composting

SK Behera, L Vasundhara, G Saisudha… - … on Power, Energy …, 2020 - ieeexplore.ieee.org
Waste management is a certainly a very complex and difficult process especially in very
large cities. It needs immense man power and also uses up other resources such as …

Intelligent solid waste classification using deep convolutional neural networks

A Altikat, A Gulbe, S Altikat - International Journal of Environmental …, 2022 - Springer
Parallel to the rapid growth of the population, the rate of consumption is increasing all over
the world; this causes significant increases in the amount of waste. Thanks to the recycling of …

Machine learning-based automatic litter detection and classification using neural networks in smart cities

M Malik, C Prabha, P Soni, V Arya… - … Journal on Semantic …, 2023 - igi-global.com
Abstract Machine learning and deep learning are one of the most sought-after areas in
computer science which are finding tremendous applications ranging from elementary …

Segregation of plastic and non-plastic waste using convolutional neural network

K Tarun, K Sreelakshmi… - IOP Conference Series …, 2019 - iopscience.iop.org
Due to industrialization and urbanization the rapid rise in the volumeand amount of
hazardous waste and the disposal of it is becoming a burgeoning problem that the world is …

Waste Classification Using ANN, CNN And Transfer Learning

M Patil, N Shaikh - CNN And Transfer Learning (June 10, 2022), 2022 - papers.ssrn.com
Waste management is one of the biggest issues of the current era. We mainly have two
types of garbage one “Organic” which is self-degradable and another one is “Recyclable” …

Automatic waste sorting in industrial environments via machine learning approaches

S Bhandari - 2020 - trepo.tuni.fi
Speed, safety and efficiency are the key to any industrial progress. We as human beings, get
astounded by the industrial achievements and the products manufactured, but we tend to …

[PDF][PDF] An Assessment of Machine Learning Integrated Autonomous Waste Detection and Sorting of Municipal Solid Waste.

S Chaturvedi, BP Yadav, NA Siddiqui - Nature Environment & …, 2021 - neptjournal.com
Municipal solid waste deposition in metropolitan areas has become a major concern that, if
not addressed, can lead to environmental degradation and possibly endanger human …

A deep learning-based approach to segregate solid waste generated in residential areas

S Sundaralingam, N Ramanathan - Engineering, Technology & Applied …, 2023 - etasr.com
Residential waste is a substantial contributor to solid waste generation, which is
approximately around 36.5 million tons annually in India. The waste created in households …

[PDF][PDF] Development of computer vision algorithms for multi-class waste segregation and their analysis

N Narayanswamy, A Rajak… - Emerging Science Journal, 2022 - scholar.archive.org
Classification of waste for recycling has been a focal point for scientists interested in the field
of conservation of the environment. Recycling consists of numerous steps, of which one of …