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Sizhe Wang

As seen in: Wiley Online Library, arXiv, Eyes on Earth, Frontiers, MDPI, Royal Society of Chemistry, AI Magazine
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Articles

Adapting Video Foundation Models for Spatiotemporal Wildfire Forecasting via Cross-Modal Progressive Fine-Tuning

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By Wenwen Li, Sizhe Wang, Chia Yu Hsu
| asu.elsevierpure.com
Deep learning Earth observation (EO) Vision Transformer (ViT) foundation models geospatial artificial intelligence (GeoAI) progressive fine-tuning satellite imagery spatiotemporal forecasting wildfire spread prediction General Earth and Planetary Sciences Electrical and Electronic Engineering APA Standard Harvard Vancouver Author BIBTEX RIS
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Research on Quantitative Analysis Technology for Pacific White Shrimp Density Based on Environmental DNA

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By Sizhe Wang, Shan Wang Verified, Guangyan Liang
| Wiley Online Library Verified
1 Introduction Litopenaeus vannamei is among the most prominent shrimp species in global aquaculture, valued for its high protein and low fat content, palatable flavor, and strong consumer demand (Li et al. 2021). The species sustains stable market demand and substantial economic returns in both domestic and international markets, driving the continuous expansion of farming operations. According to 2024 statistics, L.
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Underlying mechanisms of exercise protection against diabetes mellitus: a narrative review

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By Sizhe Wang, Fan Lu, Yuelin Liu, Ruyi Xu, Guannan Zhang, Yuxin Miao, Shanshan Lu, Zixu Liu, Weiqian Huang, Danyang Tian, Jinqi Meng
| Frontiers
Abstract Diabetes mellitus is a significant metabolic disorder posing a serious threat to human health. While current pharmacological therapies are relatively well-established, they are often associated with certain side effects. As an economical and low-risk intervention, exercise has emerged as a pivotal non-pharmacological strategy in diabetes management.
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