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 …
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 …
Hybrid deep learning model for accurate classification of solid waste in the society
H Zhang, H Cao, Y Zhou, C Gu, D Li - Urban Climate, 2023 - Elsevier
Due to the increasing initiatives for urbanization and the development of smart cities, waste
generation, segregation, and its management have become fundamental tasks. To provide …
generation, segregation, and its management have become fundamental tasks. To provide …
Design of a convolutional neural network based smart waste disposal system
In recent times, waste management problem has become a crucial challenge for
Bangladesh, which is having a detrimental impact on the environment. This paper presents …
Bangladesh, which is having a detrimental impact on the environment. This paper presents …
Waste classification using vision transformer based on multilayer hybrid convolution neural network
FS Alrayes, MM Asiri, MS Maashi, MK Nour… - Urban Climate, 2023 - Elsevier
The rapid advancement of deep learning technology has led to the presentation of various
network architectures for classification, making it easier to implement intelligent waste …
network architectures for classification, making it easier to implement intelligent waste …
Toward a deep smart waste management system based on pattern recognition and transfer learning
A Jadli, M Hain - 2020 3rd International Conference on …, 2020 - ieeexplore.ieee.org
Smart cities essentially combine the use of Information and communications technology
(ICT) to provide services for better living conditions inside. The recent developments in the …
(ICT) to provide services for better living conditions inside. The recent developments in the …
A combination model based on transfer learning for waste classification
The increasing amount of solid waste is becoming a significant problem that needs to be
addressed urgently. The reliable and accurate classification method is a crucial step in …
addressed urgently. The reliable and accurate classification method is a crucial step in …
An intelligent waste-sorting and recycling device based on improved EfficientNet
The main source of urban waste is the daily life activities of residents, and the waste sorting
of residents' waste is important for promoting economic recycling, reducing labor costs, and …
of residents' waste is important for promoting economic recycling, reducing labor costs, and …
A survey on waste detection and classification using deep learning
Waste or trash management is receiving increased attention for intelligent and sustainable
development, particularly in developed and developing countries. The waste or trash …
development, particularly in developed and developing countries. The waste or trash …
Recyclable waste image recognition based on deep learning
This study aims to improve the accuracy of waste sorting through deep learning and to
provide a possibility for intelligent waste classification based on computer vision/mobile …
provide a possibility for intelligent waste classification based on computer vision/mobile …