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[HTML][HTML] Synthesizing Local Capacities, Multi-Source Remote Sensing and Meta-Learning to Optimize Forest Carbon Assessment in Data-Poor Regions
As the climate emergency escalates, the role of forests in carbon sequestration is
paramount. This paper proposes a framework that integrates local capacities, multi-source …
paramount. This paper proposes a framework that integrates local capacities, multi-source …
Traffic Flow Prediction Model Based on Multi-Period Spatial-Temporal Stepwise Search
Traditional deep learning methods for traffic spatial-temporal prediction often require manual
architecture adjustments by experts, which is both time-consuming and inefficient. Neural …
architecture adjustments by experts, which is both time-consuming and inefficient. Neural …