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《环境科学与工程前沿(英文)》 2023年 第17卷 第6期 doi: 10.1007/s11783-023-1676-2
● A novel framework integrating quantile regression with machine learning is proposed.
关键词: Driver-response Upper boundary of relationship Interpretable machine learning Quantile regression Total phosphorus Chlorophyll a
Spatial prediction of soil contamination based on machine learning: a review
《环境科学与工程前沿(英文)》 2023年 第17卷 第8期 doi: 10.1007/s11783-023-1693-1
● A review of machine learning (ML) for spatial prediction of soil contamination.
关键词: Soil contamination Machine learning Prediction Spatial distribution
Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method
《环境科学与工程前沿(英文)》 2023年 第17卷 第11期 doi: 10.1007/s11783-023-1738-5
● A novel integrated machine learning method to analyze O3 changes is proposed.
State-of-the-art applications of machine learning in the life cycle of solid waste management
《环境科学与工程前沿(英文)》 2023年 第17卷 第4期 doi: 10.1007/s11783-023-1644-x
● State-of-the-art applications of machine learning (ML) in solid waste (SW) is presented.
关键词: Machine learning (ML) Solid waste (SW) Bibliometrics SW management Energy utilization Life cycle
《化学科学与工程前沿(英文)》 2022年 第16卷 第2期 页码 183-197 doi: 10.1007/s11705-021-2073-7
关键词: machine learning flowsheet simulations constraints exploration
Evaluation and prediction of slope stability using machine learning approaches
《结构与土木工程前沿(英文)》 2021年 第15卷 第4期 页码 821-833 doi: 10.1007/s11709-021-0742-8
关键词: slope stability factor of safety regression machine learning repeated cross-validation
Machine learning in building energy management: A critical review and future directions
《工程管理前沿(英文)》 2022年 第9卷 第2期 页码 239-256 doi: 10.1007/s42524-021-0181-1
关键词: building energy management machine learning integrated framework knowledge evolution
Big data and machine learning: A roadmap towards smart plants
《工程管理前沿(英文)》 页码 623-639 doi: 10.1007/s42524-022-0218-0
关键词: big data machine learning artificial intelligence smart sensor cyber–physical system Industry 4.0 intelligent system digitalization
《环境科学与工程前沿(英文)》 2023年 第17卷 第6期 doi: 10.1007/s11783-023-1677-1
● MSWNet was proposed to classify municipal solid waste.
关键词: Municipal solid waste sorting Deep residual network Transfer learning Cyclic learning rate Visualization
Development of machine learning multi-city model for municipal solid waste generation prediction
《环境科学与工程前沿(英文)》 2022年 第16卷 第9期 doi: 10.1007/s11783-022-1551-6
● A database of municipal solid waste (MSW) generation in China was established.
关键词: Municipal solid waste Machine learning Multi-cities Gradient boost regression tree
Predicting the elemental compositions of solid waste using ATR-FTIR and machine learning
《环境科学与工程前沿(英文)》 2023年 第17卷 第10期 doi: 10.1007/s11783-023-1721-1
● A method based on ATR-FTIR and ML was developed to predict CHNS contents in waste.
关键词: Elemental composition Infrared spectroscopy Machine learning Moisture interference Solid waste Spectral noise
Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature
《医学前沿(英文)》 2023年 第17卷 第4期 页码 768-780 doi: 10.1007/s11684-023-0982-1
关键词: machine learning methods hypertrophic cardiomyopathy genetic risk
深度学习中的视觉可解释性 Review
Quan-shi ZHANG, Song-chun ZHU
《信息与电子工程前沿(英文)》 2018年 第19卷 第1期 页码 27-39 doi: 10.1631/FITEE.1700808
关键词: 人工智能;深度学习;可解释性模型
Machine learning for fault diagnosis of high-speed train traction systems: A review
《工程管理前沿(英文)》 doi: 10.1007/s42524-023-0256-2
关键词: high-speed train traction systems machine learning fault diagnosis
《环境科学与工程前沿(英文)》 2022年 第16卷 第3期 doi: 10.1007/s11783-021-1472-9
• A spectral machine learning approach is proposed for predicting mixed antibiotic.
关键词: Antibiotic contamination Spectral detection Machine learning
标题 作者 时间 类型 操作
driver-response relationships: identifying factors using a novel framework integrating quantile regression with interpretablemachine learning
期刊论文
Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method
期刊论文
Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet
期刊论文
MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal
期刊论文
Development of machine learning multi-city model for municipal solid waste generation prediction
期刊论文
Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature
期刊论文