Titlebook: Research on the Characteristics and Effects of Climate Extremes on Multi-spatial-temporal Scales in ; Chunlan Li Book 2024 The Editor(s) (

观点

eted the model’s decision-making process using local interpretable model-agnostic explanations (LIME) for added transparency and interpretability. By employing deep learning models with ICAP and LIME, this study demonstrates an effective use of the proposed system for improving student cognitive eng

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魅力

Ingenuity

Chunlan Lis can be evaluated by using the k-fold cross-validation and presenting detailed metrics. Users are then able to save the pre-trained model and reuse it for predicting unclassified instances or visualizing the Decision Tree. AutoDTrees was evaluated in terms of user experience using the System Usabil

Incommensurate

acolyte

Chunlan Lia Analysis” course shows the process of visualization of data about the learning situation. The analysis of the experimental results showed an increased effectiveness of ITS decision perception when using the data from the combined map and visualizing its simplified fragment.

GRIEF

江湖骗子

青石板

1610-2002 reme precipitation indices were calculated. Then, multi-spatial-temporal characteristics of climate extremes in the scope of intensity, duration and frequency were analyzed. At the same time, the vegetation var978-3-031-54495-8978-3-031-54493-4Series ISSN 1610-2002 Series E-ISSN 1610-2010

千篇一律

Book 2024tems due to their suddenness, unpredictability and strong destructiveness. Located in the typical arid–semiarid climate transition zone, the Mongolian Plateau, dominated by herbage animal husbandry, is greatly affected by climate extremes, and its ecosystem is extremely fragile. In the context of gl