[HTML][HTML] Deep learning-based waste detection in natural and urban environments

S Majchrowska, A Mikołajczyk, M Ferlin… - Waste Management, 2022 - Elsevier
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 …

[HTML][HTML] Artificial intelligence-enabled metaverse for sustainable smart cities: Technologies, applications, challenges, and future directions

Z Lifelo, J Ding, H Ning, S Dhelim - Electronics, 2024 - mdpi.com
Rapid urbanisation has intensified the need for sustainable solutions to address challenges
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

K Ahmed, MK Dubey, A Kumar, S Dubey - Measurement: Sensors, 2024 - Elsevier
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 …

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 …

A survey on waste detection and classification using deep learning

H Abdu, MHM Noor - IEEE Access, 2022 - ieeexplore.ieee.org
Waste or trash management is receiving increased attention for intelligent and sustainable
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

S Na, S Heo, S Han, Y Shin, M Lee - Buildings, 2022 - mdpi.com
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 …

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 …

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 …

[HTML][HTML] A critical review of sustianable refuse-derived fuel production in waste processing facility

J Tahir, R Ahmad, P Martinez - Energy Conversion and Management: X, 2024 - Elsevier
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 …

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 …