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Titlebook: Digital Technologies to Implement the UN Sustainable Development Goals; Walter Leal Filho,Sandeep Kautish,Sanjoy Kumar Pau Book 2024 The E

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樓主: 變成小松鼠
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發(fā)表于 2025-3-26 22:17:15 | 只看該作者
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發(fā)表于 2025-3-27 01:25:54 | 只看該作者
the planet’s ecosystem, promoting sustainable economic growth and decent work for all while fostering innovation. Investments in renewable energy could save up to $4.2 trillion per year. Many countries have committed to installing 698 gigawatts (GW) of sustainable energy sources by 2030..Digital tec
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發(fā)表于 2025-3-27 08:53:05 | 只看該作者
cal constructs and WTP; gender’s role as a moderator is also explored. All of the psychological constructs had a significant effect on WTP and AI, with AI playing a significant mediating role. The empirical finding was based on data collected from Indian respondents by using convenience sampling tec
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發(fā)表于 2025-3-27 10:31:00 | 只看該作者
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發(fā)表于 2025-3-27 16:47:59 | 只看該作者
ociated with their implementation. Specifically, the chapter will examine the role of digital technologies in building smart transportation systems, smart energy grids, and smart waste management systems. Overall, this chapter contributes to the ongoing discussion on the potential of digital technol
36#
發(fā)表于 2025-3-27 19:40:55 | 只看該作者
https://doi.org/10.1007/978-3-658-00175-9llenges to accomplish the sustainable development goals (SDGs) in the realm of sustainable manufacturing. The study further delves into the directions for overcoming these challenges while underlining the future research avenues. This research finds implications for industry practitioners and decisi
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發(fā)表于 2025-3-28 00:55:50 | 只看該作者
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發(fā)表于 2025-3-28 05:34:10 | 只看該作者
Book 2024ustainable Development Goals (UN SDGs). However, the gap between technological innovation and sustainable development applications is quite wide. For instance, it is unclear how artificial intelligence can be leveraged to tackle some of the world’s biggest environmental challenges, including climate
39#
發(fā)表于 2025-3-28 08:59:53 | 只看該作者
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發(fā)表于 2025-3-28 13:24:27 | 只看該作者
AI-Based Predictive Maintenance Strategies for Improving the Reliability of Green Power Systems,feasible. To better predict the likelihood of equipment failure and the remaining useful life, it is necessary to analyze sensor data for patterns, trends, and anomalies that may indicate impending failures or performance degradation. In addition, there is an increase in the use of digital twin tech
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