Author
Wai K. Chong
Bio: Wai K. Chong is an academic researcher from Arizona State University. The author has contributed to research in topics: Energy consumption & Metaheuristic. The author has an hindex of 8, co-authored 18 publications receiving 235 citations.
Papers
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TL;DR: In this article, the authors find the challenges in the current practice of deconstruction activities and the gaps between its theory and implementation, and provide insights about how DfD can create opportunities to turn these concepts into strategies that can be largely adopted by the construction industry stakeholders in the near future.
114 citations
TL;DR: Re reuse benefits depended on aggressive reuse rates (>70%) and multiple reuses of steel were needed to offset the embodied environmental impacts during steel production, and the analyses showed that process-based LCA and hybrid LCA can generate conflicting results in a C2C LCA.
53 citations
TL;DR: Evaluating the strength of unsupervised machine learning and Natural Language Processing in supporting safety inspections and reorganizing accidents database on a state level to enhance the local safety applications and standards is evaluated.
48 citations
TL;DR: This study proposes a nature-inspired metaheuristic regression system that can find appropriate solutions for civil engineering problems and uses a graphical user interface that does not require a mathematical program installation.
Abstract: Developing an expert system has been considered as complex and knowledge driven process. This study proposes a nature-inspired metaheuristic regression system that can find appropriate solutions. The system uses a graphical user interface but does not require a mathematical program installation. The user-friendly interface was designed in the MATLAB graphical user interface design environment (GUIDE) and was implemented by MATLAB compiler. The stand-alone system is easy to use and has many functions, including evaluation, use of an opened data file, test set selection, hold-out, cross validation, and prediction to solve many civil engineering problems with simple manipulations on the system interface. Five benchmark functions were used to evaluate the effectiveness of the optimization module. The performance of the proposed regression system was then validated by comparing its solutions obtained for civil engineering problems with those obtained by empirical methods reported previously. Five actua...
34 citations
TL;DR: In this paper, the authors address the issues of intents and quantification through the proposed State Sustainable Transportation Performances (SSTP) matrices, which is not a rating system but a matrix to evaluate the sustainability of transportation policies and systems.
29 citations
Cited by
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University of Warwick1, University of Nottingham Malaysia Campus2, London South Bank University3, Al-Hikmah University4, National University of Malaysia5, University of Nottingham6, University of Kent7, Kyushu University8, American University of Sharjah9, Birkbeck, University of London10, University of Sheffield11
TL;DR: In this paper, the authors present a critical review of negative and positive impacts of the pandemic and proffers perspectives on how it can be leveraged to steer towards a better, more resilient low carbon economy.
Abstract: The World Health Organization declared COVID-19 a global pandemic on the 11th of March 2020, but the world is still reeling from its aftermath. Originating from China, cases quickly spread across the globe, prompting the implementation of stringent measures by world governments in efforts to isolate cases and limit the transmission rate of the virus. These measures have however shattered the core sustaining pillars of the modern world economies as global trade and cooperation succumbed to nationalist focus and competition for scarce supplies. Against this backdrop, this paper presents a critical review of the catalogue of negative and positive impacts of the pandemic and proffers perspectives on how it can be leveraged to steer towards a better, more resilient low-carbon economy. The paper diagnosed the danger of relying on pandemic-driven benefits to achieving sustainable development goals and emphasizes a need for a decisive, fundamental structural change to the dynamics of how we live. It argues for a rethink of the present global economic growth model, shaped by a linear economy system and sustained by profiteering and energy-gulping manufacturing processes, in favour of a more sustainable model recalibrated on circular economy (CE) framework. Building on evidence in support of CE as a vehicle for balancing the complex equation of accomplishing profit with minimal environmental harms, the paper outlines concrete sector-specific recommendations on CE-related solutions as a catalyst for the global economic growth and development in a resilient post-COVID-19 world.
432 citations
TL;DR: In this paper, a review of the recent literature within the framework of the CE to explore how its key principles (Reduce, Reuse, and Recycle) apply to the management of C&D waste (C&DW).
319 citations
TL;DR: A systematic review under both scientometric and qualitative analysis is presented to present the current state of AI adoption in the context of CEM and discuss its future research trends.
303 citations
TL;DR: An in-depth review of existing anomaly detection frameworks for building energy consumption based on artificial intelligence is presented, in which a comprehensive taxonomy is introduced to classify existing algorithms based on different modules and parameters adopted.
198 citations
TL;DR: The result indicates that the MFA-ANN hybrid system can obtain a better prediction of the high-performance concrete properties and can provide an efficient and accurate tool to predict and design HPC.
187 citations