This article reviews three key focus areas leaders should prioritize while implementing a workplace artificial intelligence strategy. This article supports SDGs 8 and 9.
This chapter advances the UN SDG goals 9 and 11 by exploring the potential of AI tools to promote smart civil engineering.
This content aligns with Goal 3: Good Health and Goal 9: Industry, Innovation and Infrastructure by discussing the relation between memory, emotion, and mental health, as well as the impacts of technological innovations such as social media.
It is at the crossover of good health and wellbeing and innovation in industry. Depression is now a prevalent mental illness and multimodal data-based depression detection is an essential topic of research.
Building Information Modeling (BIM) maturity assessment framework for the operation and maintenance (O&M) phase of construction projects save time and cost in the project life cycle. The framework has been succesfully applied to the Wuhan Jiangxia Sewage Treatment Plant project.
This chapter aligns with Goals 9, 11, and 13 by focusing on the use of renewable and recyclable materials, as well as adoption of methods to reduce energy consumption and waste.
Direct air capture has attracted attention as a means of actively lowering atmsopheric CO2 levels. This paper reviews over 50 direct air capture startups, including their choice of technology and offers research directions which may encourage collaboration between DAC startups and CO2 utilisation companies.
Recent scholarly endeavors in the domain of Cyber Intelligence have unveiled its multifaceted implications, intricately interwoven with various Sustainable Development Goals (SDGs), notably encompassing Goal 9 (Industry, Innovation, and Infrastructure), Goal 11 (Sustainable Cities and Communities), Goal 16 (Peace, Justice and Strong Institutions), among others.
Elsevier,
Measurement: Journal of the International Measurement Confederation, Volume 226, 28 February 2024
This paper seeks to contribute to pipeline leakage detection research through collecting and simulating leakage signals under different pressure strengths by combining experiments with numerical simulation. The findings point towards better detection in a real noise environment. Such research is vital in the context of increasing worldwide demand for water and insufficient water supply caused by pipeline leakage.
This chapter aligns with Goals 9, 11, 12 by emphasizing the responsible disposal of toxic building materials and providing guidance on selecting materials that have a positive effect on the health of occupants and the environment.
