Waste management in the Smart City: Current practices and future directions

D Szpilko, A de la Torre Gallegos, F Jimenez Naharro… - Resources, 2023 - mdpi.com
The discourse surrounding sustainability, particularly in the urban environment, has gained
considerable momentum in recent years. The concept of a smart city epitomises the …

Smart waste management and classification systems using cutting edge approach

SM Cheema, A Hannan, IM Pires - Sustainability, 2022 - mdpi.com
With a rapid increase in population, many problems arise in relation to waste dumps. These
emits hazardous gases, which have negative effects on human health. The main issue is the …

Predicting coronary heart disease using an improved LightGBM model: Performance analysis and comparison

H Yang, Z Chen, H Yang, M Tian - IEEE Access, 2023 - ieeexplore.ieee.org
Coronary heart disease (CHD) is a dangerous condition that cannot be completely cured.
Accurate detection of early coronary artery disease can assist physicians in treating patients …

Artificial Intelligence in enhancing sustainable practices for infectious municipal waste classification

R Pitakaso, T Srichok, S Khonjun… - Waste Management, 2024 - Elsevier
This research paper focuses on effective infectious municipal waste management in urban
settings, highlighting a dearth of dedicated research in this domain. Unlike general or …

Municipal solid waste classification and real-time detection using deep learning methods

N Li, Y Chen - Urban Climate, 2023 - Elsevier
Waste management has become a significant issue in most developing countries. Municipal
solid waste generation has been steadily increasing over the past decade. Recycling is …

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 …

Machine-learning approaches in geo-environmental engineering: Exploring smart solid waste management

A Lakhouit, M Shaban, A Alatawi, SYH Abbas… - Journal of …, 2023 - Elsevier
Over the past few decades, increased attention has been paid to domestic waste (DW)
generation. DW comprises a large percentage of municipal solid waste (MSW), and its …

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 …

Service selection using an ensemble meta-learning classifier for students with disabilities

A Namoun, MA Humayun, O BenRhouma… - Multimodal …, 2023 - mdpi.com
Students with special needs should be empowered to use assistive technologies and
services that suit their individual circumstances and environments to maximize their learning …

Developing an Optimal Ensemble Model to Estimate Building Demolition Waste Generation Rate

GW Cha, WH Hong, SH Choi, YC Kim - Sustainability, 2023 - mdpi.com
Smart management of construction and demolition (C&D) waste is imperative, and
researchers have implemented machine learning for estimating waste generation. In Korea …