...Elham K. Hassani; Rockne Hanish; John J. Parman Purpose This article discusses a proposed two-semester design studio on resilient urban regeneration that integrates artificial intelligence (AI) to the full extent of its current capabilities. The studio focuses on Phoenix, Arizona as an example...

... The review indicates that data-driven research largely concentrates on monitoring and predicting IEQ with particular emphasis on thermal comfort and air quality. Considerable attention is also given to enhancing energy efficiency. A wide spectrum of artificial intelligence and machine learning techniques has...

...Fatemeh Shahedi; Sepehr Abrishami Purpose This study aims to examine how integrating artificial intelligence (AI), weather data, activity-based costing (ABC) and building information modelling (BIM) can improve construction project scheduling. It synthesises current evidence and specifies an AI...

... processes and energy performance. Although most of these studies do not yet employ GNNs, they indicate a broader methodological movement towards data-driven, model-based reasoning in sustainable and circular built-environment research. Artificial intelligence Circular economy Data-driven urban...

... repeats over multiple generations until a termination criterion, often a maximum number of generations, is met (Eiben and Smith, 2015). Carbon emission reduction Data-driven optimisation Artificial intelligence Genetic algorithms Set-based design The Development Fund of the Swedish...

... proposes and develops a prototype Collaborative Digital Platform ( CDP ) designed specifically to address Level 3 requirements by integrating Building Information Modeling ( BIM ), Internet of Things ( IoT ), Digital Twin and Artificial Intelligence ( AI ) components. Design/methodology/approach...

... genetic algorithm Artificial intelligence A sustainable approach to delivering cooling energy efficiently across communities is the District Cooling System (DCS). From the macro-perspective of global warming mitigation, as emphasized during the 30th Session of the Conference of the Parties (COP30...

... of the study deployed to collect and analyse data under qualitative research methods. The content of Figure 1 is explained in the following sections. Digital twin Transport infrastructure Citizen engagement Artificial intelligence User requirements Digital platforms allow citizens to get...

... rights only Road optimization Artificial intelligence Machine learning Evolutionary algorithms Genetic algorithm Road cracks Pavement maintenance is one of the crucial areas in infrastructure management, where road safety, sustainability and functionality should be ensured along...

... Artificial intelligence Optimization Multi-project Giant pacific octopus optimizer The MRCMPSP is a complex and highly constrained optimization problem in project management, in which multiple interdependent projects must be scheduled using limited resources. Each project comprises various...

... for predicting the AQL based on various parameters of the cities in the USA, as depicted in Figure 2 . Artificial Intelligence is one of the powerful too which is useful to manage the air pollution and predict the Air Quality Index (AQI). Machine learning and deep learning techniques can analyse and process...

... 23 05 2024 29 07 2024 04 09 2024 © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Sewer overflow Sewer pipelines Fuzzy sets theory Artificial intelligence Environmental concerns Sewer overflow (SO) is currently one...

... purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode Sensor devices Internet of things Artificial intelligence Sustainable Development Goals Healthcare technology...

... a gap regarding the specific utilization of artificial intelligence (AI) to address climate challenges. This study aims to investigate the drivers and barriers influencing the adoption and utilization of AI by South African FM organizations in mitigating climate change challenges. Design/methodology...

... when it comes to DTs. With enabling technologies such as the Internet of Things (IoT), sensors and artificial intelligence (AI), the uptake of DTs appears promising. While current literature indicates that DTs offer clear benefits in the infrastructure sector, the uptake is low and hindered by both...

... in this study helps upskilling the design professionals involved with the architecture, engineering and construction (AEC) industry through engaging artificial intelligence in human–computer interactions. The specific novelties of this research are: first, evaluating indoor environmental metrics (daylight...

... artificially intelligent tasks such as providing correct status information, proactively analyzing and optimizing ongoing design and planning, and developing new services to maximize its value. Researchers in the AEC industry have made tremendous advances and significant progress in order to keep pace...

... Limited Licensed re-use rights only Acoustic comfort Acoustic scene classification Architectural acoustics Artificial intelligence Indoor environmental quality Variable acoustics IPRAT Intelligent passive room acoustic technology A novel concept developed...

... be cheaper, faster, safer and less prone to human error than manual inspection. Therefore, this study aims to develop an automatic system of visual inspection for the built heritage. Design/methodology/approach The artificial intelligence-based automatic defect detection system is developed using...