Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Elsevier,
Digital Healthcare in Asia and Gulf Region for Healthy Aging and More Inclusive Societies: Shaping Digital Future, 2024, pp 331-352
This chapter advances the UN SDG goals 3 and 9 by exploring the potential benefits and ethical considerations of AI tools in healthcare settings.
Elsevier,
Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems: Fundamentals, Technologies, and Solutions, 2024, pp 477-502
This chapter advances the UN SDG goals 9 and 11 by exploring the potential of AI tools to promote sustainable transportation in electric vehicles.
This chapter aligns with Goals 9, 11, and 13 by outlining nondestructive evaluation methods which extend the lifecycle of these buildings and make their materials more durable.
This chapter aligns with Goals 9 and 14 by studying the risk-based assessment methods associated with health, safety, and environmental protection of engineering structures and infrastructure, discussing how to prevent and mitigate oil and gas leaks, fires, explosions, and more.
This chapter advances the UN SDG goals 9 and 11 by exploring the potential of AI tools to promote smart civil engineering.
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.
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.
This chapter advances the UN SDG goals 2 and 9 by highlighting the role AI can play in identifying crop improvement methods for sustainable agriculture.
This chapter advances the UN SDG goals 9 and 11 by highlighting the role AI tools can play in mitigating urban air pollution for improved urban air quality.
This chapter advances the UN SDG goals 9 and 13 by discussing the potential of AI tools to advance sustainable urban climate modeling.
