[HTML][HTML] Deep learning-based models for environmental management: Recognizing construction, renovation, and demolition waste in-the-wild
The construction industry generates a substantial volume of solid waste, often destinated for
landfills, causing significant environmental pollution. Waste recycling is decisive in …
landfills, causing significant environmental pollution. Waste recycling is decisive in …
Multilayer hybrid deep‐learning method for waste classification and recycling
Y Chu, C Huang, X Xie, B Tan… - Computational …, 2018 - Wiley Online Library
This study proposes a multilayer hybrid deep‐learning system (MHS) to automatically sort
waste disposed of by individuals in the urban public area. This system deploys a high …
waste disposed of by individuals in the urban public area. This system deploys a high …
Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches
Increasing generation of municipal solid waste, heterogeneity of waste composition, and
complex processes of waste management and recovery have limited the performance of …
complex processes of waste management and recovery have limited the performance of …
Machine-learning-assisted classification of construction and demolition waste fragments using computer vision: Convolution versus extraction of selected features
V Nežerka, T Zbíral, J Trejbal - Expert Systems with Applications, 2024 - Elsevier
Improper sorting of construction and demolition waste (CDW) leads to significant
environmental and economic implications, including inefficient resource use and missed …
environmental and economic implications, including inefficient resource use and missed …
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 …
[PDF][PDF] Deep learning applications in solid waste management: A deep literature review
Solid waste management (SWM) has recently received more attention, especially in
developing countries, for smart and sustainable development. SWM system encompasses …
developing countries, for smart and sustainable development. SWM system encompasses …
Transfer learning based data-efficient machine learning enabled classification
Recently, waste sorting has become more and more important in our daily life. It plays an
essential role in the big picture of waste recycling, reducing environmental pollution …
essential role in the big picture of waste recycling, reducing environmental pollution …
[HTML][HTML] Semi-supervised segmentation for construction and demolition waste recognition in-the-wild: Adversarial dual-view networks
Precise, and automated segmentation of construction and demolition waste (CDW) is crucial
for recognizing the composition of mixed waste streams and facilitating automatic waste …
for recognizing the composition of mixed waste streams and facilitating automatic waste …
[PDF][PDF] Waste classification by fine-tuning pre-trained CNN and GAN
A Alsabei, A Alsayed, M Alzahrani… - International Journal of …, 2021 - researchgate.net
Waste accumulation is becoming a significant challenge in most urban areas and if it
continues unchecked, is poised to have severe repercussions on our environment and …
continues unchecked, is poised to have severe repercussions on our environment and …
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 …