Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
With evident relevance to SDG 6, the research explores a water pollution control technology evaluation model based on the Pythagorean language neutrosophic set (PLNS) in the context of the pulp and paper industry. The authors' model aims to assist in the choice of appropriate water pollution control technology for those working within the paper industry. It is tested in an example based in China.
This year’s RELX SDG Inspiration Day will bring together global AI leaders, corporate representatives, investors, government, and NGOs to explore issues, gain practical insights and be inspired to take action in support of the Global Goals. Elsevier is proud to share this special collection of articles and chapters in celebration of this event.
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.
We’re passionate about helping students learn more about STEM, and through our academic program we give students the opportunity to collaborate on STEM-related projects involving innovative technologies like data analytics, robotics and AI. Since 2011, we have partnered with a number of universities to sponsor research projects, internships, robotics teams, scholarships, and other educational programs that provide students with access to hands-on learning and real-world engineering experience.
Born from the deep data analysis experience of LexisNexis® Risk Solutions, HPCC Systems® is a proven, open source solution for Big Data insights that can be implemented by businesses of all sizes. With HPCC Systems®, developers can design applications with Big Data at their core, enabling businesses to better analyze and understand data at scale. HPCC Systems® offers a consistent data-centric programming language, two processing platforms and a single, complete end-to-end architecture for efficient processing. Access to open source Big Data technology is vital for SDG 4 Quality education and SDG 9 Industry, innovation and infrastructure.
In this episode of the "World We Want" podcast, Márcia Balisciano interviews Dr. Ana Maria Porras, Assistant Prof of Biomedical Engineering, Crochet Artist, and Science Communicator. They discuss how biomedical engineering is helping develop better treatment strategies for tropical disorders, which have historically received very little attention.
In the pursuit of improving engine performance and mitigating emissions, researchers have explored the intriguing domain of fuel blends incorporating butanol and gasoline. This innovative study aims to unravel the intricate dynamics between butanol and gasoline when utilized as a blended fuel in internal combustion engines. The current study integrates cutting-edge techniques such as Artificial Neural Networks (ANN) and Response Surface Methodology (RSM) for the optimization of engine performance.
The research questions explore the recent progress and technological advancements in Wireless Power Transfer (WPT), the reflection of global engagement within the WPT community through publication trends and geographical distribution, and the alignment of thematic clusters with SDG goals. Questions also investigate the contribution of AI to WPT, challenges and barriers to WPT adoption revealed by bibliometric analysis, ways WPT technology can democratize technology access in marginalized regions, and specific recommendations to ensure WPT technologies effectively accelerate progress towards achieving a broader set of SDGs.
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.
