IEEE

Integrating Travel Survey and Amap API Data Into Travel Mode Choice Analysis With Interpretable Machine Learning Models: A Case Study in China

Abstract: Travel survey data has long been one of the fundamental sources for travel mode choice behavior analysis. It can provide a wealth of travel-related information and detailed household ...
IEEE

Data-Driven Solutions for Human Trafficking: Detection and Impact Analysis Using Machine Learning

Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...
RenewEconomy

AI giant chooses Australia’s first 100 pct (net) renewable grid to build country’s biggest data centre

The biggest data centre in Australia – more than twice the size of anything that has come previously – is to be built in South Australia, because of the state’s “clean energy abundance,” and because ...
Time

AI Could Use as Much Water as 1.3 Billion People by 2030, U.N. Report Warns

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Nature

Machine learning-optimized composting strategies can enhance nutrient recycling and transform food system waste into a net carbon sink

Currently, approximately 108 Tg of nitrogen (N) is fixed annually through the Haber–Bosch process to produce fertilizer for food production 1, consuming 3–5% of global natural gas and emitting 0.46 Gt ...