机构

• 金属研究所 [1]
• 成都山地灾害与环境研... [1]
• 地质与地球物理研究所 [1]
• 海洋研究所 [1]
• 武汉岩土力学研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [5]

发表日期

• 2025 [2]
• 2024 [1]
• 2023 [2]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Optimizing Cu2+adsorption prediction in Undaria pinnatifida using machine learning and isotherm models 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2025, 卷号: 492, 页码: 13 作者:  Chen, Haoran;  Zhang, Rui;  Qu, Xiaohan;  Shan, Tifeng;  Wang, Yuhe   |  收藏  |  浏览/下载：3/0  |  提交时间：2025/07/11 Heavy metal removal  Machine learning  Traditional adsorption models  Bioactive materials  Explainable analysis   Knowledge-Based Machine learning for Real-Time rock strength testing while Drilling: Bridging Simulation and Reality 期刊论文  OAI收割 MEASUREMENT, 2025, 卷号: 246, 页码: 17 作者:  Bai, Jun;  Wang, Sheng;  Liu, Liu;  Xu, Zhengxuan;  Li, Shaojun   |  收藏  |  浏览/下载：9/0  |  提交时间：2025/06/27 Intelligent Real-time  In-situ Rock Strength Testing  Physics-Informed Machine Learning  Explainable AI Methods  Multi-Scenario Adaptability   Application of Remote Sensing and Explainable Artificial Intelligence (XAI) for Wildfire Occurrence Mapping in the Mountainous Region of Southwest China 期刊论文  OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 19, 页码: 27 作者:  Liu, Jia;  Wang, Yukuan;  Lu, Yafeng;  Zhao, Pengguo;  Wang, Shunjiu   |  收藏  |  浏览/下载：35/0  |  提交时间：2024/12/04 wildfire  driving factor  machine learning  random forest  extreme gradient boosting  explainable artificial intelligence  prediction accuracy   An explainable machine learning model for superalloys creep life prediction coupling with physical metallurgy models and CALPHAD 期刊论文  OAI收割 COMPUTATIONAL MATERIALS SCIENCE, 2023, 卷号: 227, 页码: 11 作者:  Huang, Yuyu;  Liu, Jide;  Zhu, Chongwei;  Wang, Xinguang;  Zhou, Yizhou   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/01/07 Creep life prediction  Explainable machine learning  Physical metallurgy models  CALPHAD   Prediction and interpretation of antibiotic-resistance genes occurrence at recreational beaches using machine learning models 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 卷号: 328, 页码: 10 作者:  Iftikhar, Sara;  Karim, Asad Mustafa;  Karim, Aoun Murtaza;  Karim, Mujahid Aizaz;  Aslam, Muhammad   |  收藏  |  浏览/下载：27/0  |  提交时间：2023/03/30 Antibiotic resistance genes  Machine learning  Black box models  Explainable  Artificial intelligence  Recreational beaches