我校自供电凝胶传感创新团队突破传统水凝胶技术瓶颈，创新研发-27℃不冻结的智能传感凝胶，相关研究成果以“An Antifreeze Gel as Strain Sensors and Machine Learning Assisted ...

为解决埃塞俄比亚清洁安全饮用水获取难题，研究人员开展 “Predicting determinants of unimproved water supply in Ethiopia using machine learning analysis of EDHS-2019 data” 研究。结果显示随机森林（Random Forest）模型表现最佳，社区贫困等因素影响显著。该研究为解决水危机提供决策 ...

最近，哈佛大学推出了一门新课程，旨在帮助人们更好地掌握机器学习的基础知识。这门课程被许多留学生视为零基础学习Machine ...

为解决土地覆盖信息获取难题，研究人员开展 “Remote sensing for land cover mapping across Victoria, Australia – a machine learning application” 主题研究。利用随机森林算法和 Sentinel-2 影像，绘制出 2021/22 年土地覆盖图，整体精度达 86%，为多领域应用提供关键数据。

Zheng Wang is Professor of Intelligent Software Technology at the School of Computer Science at the University of Leeds. He is internationally known for his work in incorporating machine learning into ...