本研究针对意大利频发的重大地质水文灾害（滑坡和洪水），创新性地采用CatBoost机器学习算法，结合环境、社会经济和国土规划等多源数据（62个指标），构建了"紧急状态月数（MES）"预测模型。研究首次系统揭示了中等风险区土地开发（MRI）、GDP与地形湿度 ...

Microsoft is betting big on AI. Starting with integrating Bing with ChatGPT, it has implemented AI capabilities in its products. Microsoft Designer is a new product from Microsoft with AI capabilities ...

Abstract: Student performance prediction is vital for identifying at-risk students and providing support to help them succeed academically. In this paper, we propose a feature importance-based ...

According to DeepLearning.AI, the introduction of TabPFN, a transformer model trained on a vast dataset of 100 million synthetic datasets, marks a significant advance in predictive analytics for ...

Background: Early identification of infants with necrotizing enterocolitis (NEC) at risk of surgery is essential for an effective treatment. This study aims to clarify the risk factors of surgical NEC ...

Tutorials might feel tedious in most games, but some titles bring a welcome twist to them. The best tutorials teach game basics and scale, like Skyrim's Prisoner Start. Iconic tutorials are fun and ...

Abstract: Snowflake beef is highly valued for its nutritional benefits and exquisite taste, yet the inconsistent quality in the market poses challenges for consumers in distinguishing genuine products ...

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