A research team from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences has developed a ...

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Weather forecasting is not easy. The truth is that predicting future weather conditions over broad, or even narrow, swaths of ...

But in an era of intense scrutiny and increasingly lean resources, utilities are challenged with how to successfully balance ...

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Article citations More>> Zhang, Y., et al. (2023) Machine Learning and GIS Integration for Land Consolidation in Hilly Regions. Frontiers in Plant Science, 14, Article 1120450. has been cited by the ...

Our approach outperforms traditional signal models by incorporating urban morphology and demographic context. As part of this system, we also create a Geographic Information System (GIS) that displays ...

Landslide susceptibility prediction (LSP) is a useful technology for landslide prevention. Due to the complex nonlinear correlations among environmental factors, traditional machine learning (ML) ...

Machine learning and deep learning for coral reef surveillance Machine learning has emerged as a powerful tool in coral reef surveillance, enhancing the efficiency and accuracy of monitoring ...

But while it still plays a part in our machine learning, AI PC, it’s not the lynchpin. Still, you want a modern one with lots of cores and preferably a strong upgrade path for the future, too.