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期刊论文 2

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2022 1

2020 1

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特征选择；高维；学习技术；微阵列数据集 1

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Geotechnical forensic investigation of a slope failure on silty clay soil—A case study

Mohammad Abubakar NAVEED, Zulfiqar ALI, Abdul QADIR, Umar Naveed LATIF, Saad HAMID, Umar SARWAR

《结构与土木工程前沿（英文）》 2020年 第14卷 第2期   页码 501-517 doi: 10.1007/s11709-020-0610-y

摘要： Qila Bala Hisar is one of the noteworthy places of Peshawar, Khyber Pakhtunkhwa. The fort was constructed on a filled ground during the 18th century and it was renovated several times by the occupants ever since. Recently, due to an earthquake of magnitude 7.3, the upper part of the south-western wall of the fort collapsed. The collapse of the wall was attributed to the failure of the retained slope. This research was undertaken to characterize the slope material, study causal factors of failure and evaluate remedial strategy. The investigation involved conventional field and laboratory testing and geophysical investigation using electrical resistivity technique to evaluate the nature of stratum. Also, X-ray Diffraction and Scanning Electron Microscopy was used to study the slope material at a molecular level to evaluate the existence of swelling potential. The analysis has shown that excessive seepage of water caused by the poor maintenance of runoff and sewage drains is the causal factor triggered by the seismic event. A remedial strategy involving soil nails, micro piles and improvement of the surface drainage is recommended.

关键词： forensic geotechnical investigation     slope failure     slope analysis     finite element method     numerical analysis     seismic loading     Qila Bala Hisar    

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微阵列数据集的特征选择技术：综合评述、分类和未来方向 Review

Kulanthaivel BALAKRISHNAN, Ramasamy DHANALAKSHMI

《信息与电子工程前沿（英文）》 2022年 第23卷 第10期   页码 1451-1478 doi: 10.1631/FITEE.2100569

摘要：

为获得最佳结果，从微阵列数据集中检索相关特征已成为特征选择（FS）技术的研究热点。本综述旨在全面阐述各种最新特征选择技术，同时介绍了基于微阵列数据集的处理多类分类问题的技术以及提高学习算法性能的不同方法。我们试图理解和解决数据集不平衡问题，以证实研究人员在微阵列数据集上的工作。对文献的分析为理解和强调在通过各种特征选择技术寻找最佳特征子集时存在的众多挑战和问题铺平了道路。同时提供了一个案例说明该方法的实施过程，该方法使用3个微阵列癌症数据集评估一些包装方法和混合方法的分类精度和收敛能力，以确认最优特征子集。

关键词： 特征选择；高维；学习技术；微阵列数据集    

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标题 作者 时间 类型 操作

Geotechnical forensic investigation of a slope failure on silty clay soil—A case study

Mohammad Abubakar NAVEED, Zulfiqar ALI, Abdul QADIR, Umar Naveed LATIF, Saad HAMID, Umar SARWAR

期刊论文

微阵列数据集的特征选择技术：综合评述、分类和未来方向

Kulanthaivel BALAKRISHNAN, Ramasamy DHANALAKSHMI

期刊论文