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	Hyperspectral Monitoring Driven by Machine Learning Methods for Grassland Above-Ground Biomass 期刊论文 Remote Sensing, 2022, 卷号: 14, 期号: 9 作者: Huang, Weiye; Li, Wenlong; Xu, Jing; Ma, Xuanlong; Li, Changhui 收藏 \| 浏览/下载：79/0 \| 提交时间：2022/05/19 Adaptive boosting Biomass Data mining Feature extraction Remote sensing Aboveground biomass Alpine grasslands Features selection Gaussian process regression Growing season HyperSpectral Interpretability Machine learning methods Machine learning models Support vectors machine
	A new secondary decomposition-reconstruction-ensemble approach for crude oil price forecasting 期刊论文 Resources Policy, 2022, 卷号: 77 作者: Sun, Jingyun; Zhao, Panpan; Sun, Shaolong 收藏 \| 浏览/下载：69/0 \| 提交时间：2023/02/24 Knowledge acquisition Costs Machine learning Crude oil Empirical mode decomposition Learning algorithms Entropy Chaotic sparrow search algorithm Chaotics Crude oil forecasting Crude oil futures Kernel extreme learning machine Oil forecasting Oil futures price Permutation entropy Search Algorithms Secondary decomposition
	A Novel Multivariate Decomposition Ensemble Model with News Text for Crude Oil Price Forecasting 其他 SSRN, 2022-08-10 作者: Zhao, Zhengling 收藏 \| 浏览/下载：76/0 \| 提交时间：2022/12/21 Costs Crude oil Data fusion Forecasting Machine learning Crude oil price forecasting Crude oil prices Empirical Mode Decomposition Ensemble models Granger causality test Hybrid forecasting Machine-learning Multivariate empirical mode decomposition Sample entropy Text-mining
	Prediction and exploration of emission wavelength (or energy) of luminescent materials based on machine learning 期刊论文 Journal of Luminescence, 2025, 卷号: 279 作者: Shi, Xin; Zhong, Xiaotong; Liu, Wei; Wang, Songwei; Zhang, Zhijun 收藏 \| 浏览/下载：21/0 \| 提交时间：2024/12/31 Luminous materials Xgboost Ionization potential Luminescence Emission energies Emission wavelength Luminescent material Machine learning models Machine-learning Material science Material-based On-machines Optical field
	Data-driven optimization and machine learning analysis of compatible molecules for halide perovskite material 期刊论文 NPJ COMPUTATIONAL MATERIALS, 2024, 卷号: 10, 期号: 1 作者: Wang, Shaojun; Huang, Yiru; Hu, Wenguang; Zhang, Lei 收藏 \| 浏览/下载：40/0 \| 提交时间：2024/06/12 Additives Density functional theory Design for testability Genetic algorithms Hydrogen bonds Lead compounds Machine learning Molecules Perovskite Photoelectrochemical cells Condition Data-driven methods Data-driven optimization Extra-trees Halide perovskites Industrial deployment Machine-learning Photoelectrochemicals Post treatment Solvent treatment
	SGB-ELM: An Advanced Stochastic Gradient Boosting-Based Ensemble Scheme for Extreme Learning Machine 期刊论文 COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2018, 卷号: 2018 作者: Guo, Hua; Wang, Jikui; Ao, Wei; He, Yulin Adobe PDF(2005Kb) \| 收藏 \| 浏览/下载：115/3 \| 提交时间：2021/03/24 Iterative methods Knowledge acquisition Machine learning Optimization Boosting mechanism Derivation formulas Ensemble methods Extreme learning machine Generalization performance Objective functions Second order optimization Stochastic gradient boosting
	The impact of green innovation on carbon reduction efficiency in China: Evidence from machine learning validation 期刊论文 Energy Economics, 2024, 卷号: 133 作者: Zhao, Qiuyun; Jiang, Mei; Zhao, Zuoxiang; Liu, Fan; Zhou, Li 收藏 \| 浏览/下载：63/0 \| 提交时间：2024/05/13 Carbon Efficiency Engineering education Engineering research Environmental technology Machine learning River pollution Carbon efficiency Carbon reduction Carbon reduction efficiency EBM model Green technology Green technology innovation Machine-learning Pollution reduction Reduction efficiency Technology innovation
	Land Use/Land Cover Mapping Based on GEE for the Monitoring of Changes in Ecosystem Types in the Upper Yellow River Basin over the Tibetan Plateau 期刊论文 Remote Sensing, 2022, 卷号: 14, 期号: 21 作者: Feng, Senyao; Li, Wenlong; Xu, Jing; Liang, Tiangang; Ma, Xuanlong 收藏 \| 浏览/下载：73/0 \| 提交时间：2022/12/21 Decision trees Engines Forestry Land use Machine learning Mapping Rivers Watersheds Wetlands Ecosystem type Google earth engine Google earths Land cover mapping Land use/land cover Land use/land cover mapping Machine-learning Sentinel-2 Upper yellow river basin Upper yellow rivers Yellow River basin
	SMpeaks-A semi-supervised clustering algorithm based on density peaks 会议论文 Proceedings of SPIE - The International Society for Optical Engineering, Qingdao, China, July 8, 2022 - July 10, 2022 作者: Duan, Huiyu; Chen, Chen; Wang, Jikui 收藏 \| 浏览/下载：70/0 \| 提交时间：2022/12/21 Clustering algorithms Machine learning Arbitrary shape Cluster centers Clusterings Density Different densities Different sizes Fast search Multiple-peak Semi-supervised clustering algorithms Semi-supervised learning
	Analysis and validation of energy-conservation and emission-reduction effects of economic agglomeration 期刊论文 ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024 作者: Kang, Weiyi; Guo, Jingjun; Chen, Suisui 收藏 \| 浏览/下载：68/0 \| 提交时间：2024/05/13 Economic agglomeration CO2 emissions Energy consumption Spatial econometrics Machine learning

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