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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
Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2, Pages 501-517 doi: 10.1007/s11709-020-0610-y
Keywords： investigation slope failure slope analysis finite element method numerical analysis seismic loading QilaBala Hisar
Kulanthaivel BALAKRISHNAN, Ramasamy DHANALAKSHMI,bala.k.btech@gmail.com,r_dhanalakshmi@yahoo.com
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10, Pages 1451-1478 doi: 10.1631/FITEE.2100569
For optimal results, retrieving a relevant feature from a has become a hot topic for researchers involved in the study of (FS) techniques. The aim of this review is to provide a thorough description of various, recent FS techniques. This review also focuses on the techniques proposed for s to work on multiclass classification problems and on different ways to enhance the performance of learning algorithms. We attempt to understand and resolve the imbalance problem of datasets to substantiate the work of researchers working on s. An analysis of the literature paves the way for comprehending and highlighting the multitude of challenges and issues in finding the optimal feature subset using various FS techniques. A case study is provided to demonstrate the process of implementation, in which three microarray cancer datasets are used to evaluate the classification accuracy and convergence ability of several wrappers and hybrid algorithms to identify the optimal feature subset.
Keywords： Feature selection High dimensionality Learning techniques Microarray dataset
Title Author Date Type Operation
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
Journal Article
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