4.7 Article

Machine Learning Comparison and Parameter Setting Methods for the Detection of Dump Sites for Construction and Demolition Waste Using the Google Earth Engine

Related references

Note: Only part of the references are listed.
Article Green & Sustainable Science & Technology

Improving construction and demolition waste collection service in an urban area using a simheuristic approach: A case study in Sydney, Australia

Maziar Yazdani et al.

Summary: The increase in construction and demolition waste due to urbanization and population growth has raised concerns over environmental impacts. A novel simulation-optimization approach using a hybrid Genetic Algorithm is proposed to optimize waste collection routing. The results demonstrate high performance of the proposed simheuristic algorithm.

JOURNAL OF CLEANER PRODUCTION (2021)

Article Green & Sustainable Science & Technology

Proposal of demolished concrete recycling system based on performance evaluation of inorganic building materials manufactured from waste concrete powder

Dayoung Oh et al.

Summary: The rapid industrial development and global population growth of the past century have led to an exponential increase in resource consumption and CO2 emissions, resulting in global warming and related environmental issues. Recycling waste concrete to produce added-value inorganic building materials such as recycled cement can help reduce construction waste and prevent resource depletion.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)

Article Engineering, Environmental

A fuzzy evaluation and selection of construction and demolition waste utilization modes in Xi'an, China

Fan Zhang et al.

WASTE MANAGEMENT & RESEARCH (2020)

Article Green & Sustainable Science & Technology

Dynamic Modeling for Life Cycle Cost Analysis of BIM-Based Construction Waste Management

Milad Zoghi et al.

SUSTAINABILITY (2020)

Article Engineering, Environmental

Sorting of suitable areas for disposal of construction and demolition waste using GIS and ELECTRE TRI

Juliana Biluca et al.

WASTE MANAGEMENT (2020)

Article Environmental Sciences

Spectral-Similarity-Based Kernel of SVM for Hyperspectral Image Classification

Ke Wang et al.

REMOTE SENSING (2020)

Article Engineering, Environmental

Challenges in current construction and demolition waste recycling: A China study

Mingxue Ma et al.

WASTE MANAGEMENT (2020)

Article Environmental Sciences

Oil palm mapping over Peninsular Malaysia using Google Earth Engine and machine learning algorithms

Nur Shafira Nisa Shaharum et al.

REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT (2020)

Article Computer Science, Artificial Intelligence

Parameter investigation of support vector machine classifier with kernel functions

Alaa Tharwat

KNOWLEDGE AND INFORMATION SYSTEMS (2019)

Article Environmental Sciences

Characterizing the environmental impact of metals in construction and demolition waste

Danfeng Yu et al.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2018)

Review Remote Sensing

Implementation of machine-learning classification in remote sensing: an applied review

Aaron E. Maxwell et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2018)

Article Engineering, Environmental

Construction and demolition waste management in China through the 3R principle

Beijia Huang et al.

RESOURCES CONSERVATION AND RECYCLING (2018)

Article Remote Sensing

Using Google Earth Engine to detect land cover change: Singapore as a use case

Nanki Sidhu et al.

EUROPEAN JOURNAL OF REMOTE SENSING (2018)

Article Environmental Sciences

Google Earth Engine: Planetary-scale geospatial analysis for everyone

Noel Gorelick et al.

REMOTE SENSING OF ENVIRONMENT (2017)

Proceedings Paper Instruments & Instrumentation

Increasing the Safety in Recycling of Construction and Demolition Waste by Using Supervised Machine Learning

P. Kuritcyn et al.

2014 JOINT IMEKO TC1-TC7-TC13 SYMPOSIUM: MEASUREMENT SCIENCE BEHIND SAFETY AND SECURITY (2015)

Article Geography, Physical

An assessment of the effectiveness of a random forest classifier for land-cover classification

V. F. Rodriguez-Galiano et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2012)