[HTML][HTML] Deep learning-based waste detection in natural and urban environments
Waste pollution is one of the most significant environmental issues in the modern world. The
importance of recycling is well known, both for economic and ecological reasons, and the …
importance of recycling is well known, both for economic and ecological reasons, and the …
[HTML][HTML] Artificial intelligence-enabled metaverse for sustainable smart cities: Technologies, applications, challenges, and future directions
Rapid urbanisation has intensified the need for sustainable solutions to address challenges
in urban infrastructure, climate change, and resource constraints. This study reveals that …
in urban infrastructure, climate change, and resource constraints. This study reveals that …
[HTML][HTML] Artificial intelligence and IoT driven system architecture for municipality waste management in smart cities: A review
Numerous devices, including sensors, RF ID, and other types of smart devices, have been
developed as a result of the Artificial Intelligence (AI), and Internet of Things (IoT) revolution …
developed as a result of the Artificial Intelligence (AI), and Internet of Things (IoT) revolution …
Solid waste management scenario in india and illegal dump detection using deep learning: an AI approach towards the sustainable waste management
S Shahab, M Anjum - Sustainability, 2022 - mdpi.com
The study is presented in four sections. The first section defines the municipal solid waste
and solid waste management system. The second section illustrates the descriptive …
and solid waste management system. The second section illustrates the descriptive …
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 develo** countries. The waste or trash …
development, particularly in developed and develo** countries. The waste or trash …
Development of an artificial intelligence model to recognise construction waste by applying image data augmentation and transfer learning
The demand for categorising technology that requires minimum manpower and equipment
is increasing because a large amount of waste is produced during the demolition and …
is increasing because a large amount of waste is produced during the demolition and …
Learning to identify illegal landfills through scene classification in aerial images
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 …
Using a deep learning model to quantify trash accumulation for cleaner urban stormwater
G Conley, SC Zinn, T Hanson, K McDonald… - … Environment and Urban …, 2022 - Elsevier
With growing understanding of trash impacts on aquatic habitats throughout the world, cities
increasingly face regulatory requirements to reduce trash inputs to local waterways and the …
increasingly face regulatory requirements to reduce trash inputs to local waterways and the …
[HTML][HTML] A critical review of sustianable refuse-derived fuel production in waste processing facility
Transformation of municipal solid waste into refuse-derived fuel (RDF) offers a promising
solution for waste-to-energy conversion. In this context, a systematic literature review and …
solution for waste-to-energy conversion. In this context, a systematic literature review and …
Multi-object garbage image detection algorithm based on SP-SSD
L Tan, H Wu, Z Xu, J **a - Expert Systems with Applications, 2025 - Elsevier
The existing garbage image detection methods are large in scale, long detection response
time and low in accuracy. To solve these problems, this paper propose a multi-objective …
time and low in accuracy. To solve these problems, this paper propose a multi-objective …