Artificial intelligence for waste management in smart cities: a review

B Fang, J Yu, Z Chen, AI Osman, M Farghali… - Environmental …, 2023 - Springer
The rising amount of waste generated worldwide is inducing issues of pollution, waste
management, and recycling, calling for new strategies to improve the waste ecosystem, such …

A review of biowaste remediation and valorization for environmental sustainability: Artificial intelligence approach

R Aniza, WH Chen, A Pétrissans, AT Hoang… - Environmental …, 2023 - Elsevier
Biowaste remediation and valorization for environmental sustainability focuses on
prevention rather than cleanup of waste generation by applying the fundamental recovery …

An artificial intelligence approach for improving maintenance to supervise machine failures and support their repair

I Rojek, M Jasiulewicz-Kaczmarek, M Piechowski… - Applied Sciences, 2023 - mdpi.com
Featured Application Maintaining production systems within Industry 4.0 facilitates the
application of artificial intelligence methods, techniques and tools to predict potential failures …

Machine learning in construction and demolition waste management: Progress, challenges, and future directions

Y Gao, J Wang, X Xu - Automation in Construction, 2024 - Elsevier
The application of machine learning contributes to intelligent and efficient management of
construction and demolition waste, leading to a reduction in waste generation and an …

The use of Google community mobility reports to model residential waste generation behaviors during and after the COVID-19 lockdown

TS Mahmud, KTW Ng, S Ray, L Lyu, C An - Sustainable Cities and Society, 2023 - Elsevier
This paper proposed an original analytical approach to quantify waste generation and
recycling behaviors in Regina, a Canadian capital city, using Google's Community Mobility …

Photocatalytic degradation of drugs and dyes using a maching learning approach

G Anandhi, M Iyapparaja - RSC advances, 2024 - pubs.rsc.org
The waste management industry uses an increasing number of mathematical prediction
models to accurately forecast the behavior of organic pollutants during catalytic degradation …

Energy analysis of high-rise residential buildings under demolition using controlled explosion: An Indian case study

D Dahiya, B Laishram - Journal of Cleaner Production, 2023 - Elsevier
The end-of-life phase of buildings has not found adequate representation in the literature
despite affording opportunities for reclaiming precious construction material and energy …

Performance Improvement of Machine Learning Model Using Autoencoder to Predict Demolition Waste Generation Rate

GW Cha, WH Hong, YC Kim - Sustainability, 2023 - mdpi.com
Owing to the rapid increase in construction and demolition (C&D) waste, the information of
waste generation (WG) has been advantageously utilized as a strategy for C&D waste …

Development of machine learning model for prediction of demolition waste generation rate of buildings in redevelopment areas

GW Cha, SH Choi, WH Hong, CW Park - International Journal of …, 2022 - mdpi.com
Owing to a rapid increase in waste, waste management has become essential, for which
waste generation (WG) information has been effectively utilized. Various studies have …

Developing a prediction model of demolition-waste generation-rate via principal component analysis

GW Cha, SH Choi, WH Hong, CW Park - International Journal of …, 2023 - mdpi.com
Construction and demolition waste accounts for a sizable proportion of global waste and is
harmful to the environment. Its management is therefore a key challenge in the construction …