Search

The latest innovations in artificial intelligence (AI) have substantially affected development in numerous industries. The construction industry's growth is significantly hampered by a variety of complicated difficulties, including cost and schedule overruns, safety and health, production, and lack of labour. Furthermore, the construction sector is one of the least computerized in the globe, making it challenging to address the issues it is now facing. Artificial Intelligence (AI) is a cutting-edge digital technology that is presently impacting several sectors, including manufacturing, commerce, and communications. Automation, knowledge-based platforms, machine learning, robotics, and optimization are only some of the areas of artificial intelligence that have been effectively used in various sectors to improve their bottom lines, operations, and security. While the construction sector has benefited from certain AI applications, many challenges remain that are directly related to AI. This study intends to identify AI applications and highlight opportunities and challenges for AI implementation in the construction sector. [ABSTRACT FROM AUTHOR]

Due to the increase in extensive disasters worldwide, stakeholders usually initiate reconstruction plans to control the effects of these disasters on the community and the environment; nevertheless, some difficulties would occur during the implementation of reconstruction projects based on capacity and resources. Post-disaster reconstruction (PDR) is a multifaceted and chaotic process that poses various challenges and issues. Diverse problems are associated with reconstruction projects, these include low quality, delayed schedule, and cost overrun due to different variables during implementation. Hence, this study reviews the recent findings on the reconstruction of housing projects in the wake of disasters within a developing construction industry. It focuses on the variables that influence PDR, highlighting the major challenges and limitations faced by the industry. Additionally, this study identifies key factors that play a significant character in the reconstruction processes. Finally, it provides insights into the research findings and suggestions for future studies on PDR projects. [ABSTRACT FROM AUTHOR]