A review of artificial intelligence and machine learning for incident detectors in road transport systems

S Olugbade, S Ojo, AL Imoize, J Isabona… - Mathematical and …, 2022 - mdpi.com
Road transport is the most prone to accidents, resulting in significant fatalities and injuries. It
also faces a plethora of never-ending problems, such as the frequent loss of lives and …

Opportunities and adoption challenges of AI in the construction industry: A PRISMA review

M Regona, T Yigitcanlar, B Xia, RYM Li - Journal of open innovation …, 2022 - mdpi.com
Artificial intelligence (AI) is a powerful technology with a range of capabilities, which are
beginning to become apparent in all industries nowadays. The increased popularity of AI in …

The application of artificial intelligence in the effective battery life cycle in the closed circular economy model—A perspective

A Pregowska, M Osial, W Urbańska - Recycling, 2022 - mdpi.com
Global pollution of the environment is one of the most challenging environmental problems.
Electronic-based population and anthropogenic activity are the main reasons for …

[HTML][HTML] Factors in critical management practices for construction projects waste predictors to C&DW minimization and maximization

A Nawaz, J Chen, X Su - Journal of King Saud University-Science, 2023 - Elsevier
There has been a significant increase in the amount of construction and demolition waste
(C&DW) produced over the past few decades, posing challenges to the construction industry …

Optimizing energy use, cost and carbon emission through building information modelling and a sustainability approach: A case-study of a hospital building

SH Khahro, D Kumar, FH Siddiqui, TH Ali, MS Raza… - Sustainability, 2021 - mdpi.com
The construction industry (CI) has a significant impact on the environment and on climate
change due to the emission of greenhouse gases like carbon dioxide. Globally accepted …

Transformation from IoT to IoV for waste management in smart cities

GK Ijemaru, LM Ang, KP Seng - Journal of Network and Computer …, 2022 - Elsevier
Big sensor-based data systems and the emergence of large-scale wireless sensor networks
(LS-WSNs), which are spatially distributed across various geographical areas in smart cities …

[图书][B] The role of artificial intelligence in the European green deal

P Gailhofer, A Herold, JP Schemmel, CS Scherf… - 2021 - academia.edu
Artificial Intelligence (AI) can be deployed for a wide range of applications to promote the
goals of the European Green Deal. However, adverse environmental impacts of AI could …

Modeling the factors enhancing the implementation of green procurement in the Pakistani construction industry

SH Khahro, AH Memon, NA Memon, A Arsal, TH Ali - Sustainability, 2021 - mdpi.com
This paper adds to the existing body of knowledge on green procurement approaches and
sustainability theories for procurement management. It provides practical factors that can …

Artificial intelligence based Smart Waste Management—a systematic review

NJ Sinthiya, TA Chowdhury, AKMB Haque - … Intelligence Techniques for …, 2022 - Springer
Smart waste management is an approach that utilizes modern technology to manage waste
materials in effective, efficient, and economical way. Artificial intelligence offers various …

A construction waste landfill dataset of two districts in Beijing, China from high resolution satellite images

S Lin, L Huang, X Liu, G Chen, Z Fu - Scientific Data, 2024 - nature.com
Construction waste is unavoidable in the process of urban development, causing serious
environmental pollution. Accurate assessment of municipal construction waste generation …