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| 1 | Modeling oblique load carrying capacity of batter pile groups using neural network,random forest regression and M5 model tree显示文摘M5 model tree,random forest regression(RF)and neural network(NN)based modelling approaches were used to predict oblique load carrying capacity of batter pile groups using 247 laboratory experiments with smooth and rough pile groups.Pile length(L),angle of oblique load(a),sand density(ρ),number of batter piles(B),and number of vertical piles(V)as input and oblique load(Q)as output was used.Results suggest improved performance by RF regression for both pile groups.M5 model tree provides simple linear relation which can be used for the prediction of oblique load for field data also.Model developed using RF regression approach with smooth pile group data was found to be in good agreement for rough piles data.NN based approach was found performing equally well with both smooth and rough piles.Sensitivity analysis using all three modelling approaches suggest angle of oblique load(a)and number of batter pile(B)affect the oblique load capacity for both smooth and rough pile groups. | Tanvi SINGH Mahesh PAL V.K.ARORA | 2019 | Frontiers of Structural and Civil Engineering2019，13，3： | 3 |
| 2 | Effect of laminate thickness on moisture diffusion of polymer matrix composites in artificial seawater ageing显示文摘影响在海水沉浸,以及结果在潮湿散开上把聚合物矩阵 composites 的厚度压成薄片为 glass/isopolyester (G/IPE ) 的 composites 的机械性质降级, carbon/isopolyester (C/IPE ) , glass/vinylester (G/VE ) 和 carbon/vinylester (C/VE ) ,在这份报纸被调查。把 3 压成薄片并且在厚度的 10mm,使用湿手上篮技术制作,被描绘因为在人工的海水媒介的潮湿吸收,和他们的曲折力量和 interlaminar 砍力量(ILSS ) 降级被学习。潮湿散开被观察是到 Ficks 的 anamolous 为 3 的法律和 10mm 在散开的以后的阶段的厚样品。10mmthick 样品的潮湿渗透是比 3mm 的大的二~三份订单厚的,当潮湿浸透的时间仍然保持未改变时。随增加把厚度压成薄片, 1.4% 为 C/VE 增加的潮湿浸透并且 7% 为 G/IPE。剩余曲折力量和 ILSS 在 10mm 的情况下是更大的在 200 天暴露以后的厚标本。折断的标本的 SEM 检查在 10mm 显示出纤维 / 矩阵 debonding 的更大的层次厚标本。 | Ratna PAL H.N.NARASIMHA MURTHY M.SREEJlTHz,K.R.VISHNU MAHESH M.KRISHNA IS.C.SHARMA | 2012 | Frontiers of Materials Science2012，6，3： | 2 |
| 3 | Multinomial logistic regression-based featureselection for hyperspectral data显示文摘 | Pal Mahesh | 2012 | International Journal ofApplied Earth Observation and Geoinformation2012，14，1： | 1 |
| 4 | Modelling pile capacity using Gaussian process regression显示文摘 | Mahesh Pal Surinder Deswal | 2010 | Computer and Geotechnics2010，37，7： | 1 |
| 5 | An assessment of the effectiveness of decision tree methods for land cover classification显示文摘 | Mahesh Pal Paul M Mather | 2003 | Remote Sensing of Environment2003，，4： | 1 |
| 6 | A Comparison of Decision Tree and Backpropagation Neural Network Classifiers for Land Use Classification 显示文摘 | Mahesh Pal Paul M Mather | 2002 | Geoscience and Remote Sensing Symposium2002，6，1： | 1 |
| 7 | Feature selection for classification of hyper spectral data by SVM显示文摘 | Mahesh Pal Giles M Foody | 2010 | IEEE Trans on Geoscience and Remote Sensing2010，48，5： | 1 |
| 8 | A comparison of decision tree and backpropagation neural network classifiers for land use classification显示文摘 | Pal Mahesh Mather Paul M | 2002 | IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002)2002，，2428： | 1 |
| 9 | An assessment of the effec- tiveness of decision tree methods for land cover classification 显示文摘 | MAHESH PAL PAUL M MATHER | 2003 | Remote Sensing of Environment2003，86，： | 1 |
| 10 | An assessment of the effectiveness of decision tree methods for land cover classification 显示文摘 | Mahesh Pal Paul M Mather | 2003 | Remote Sensing of Environment2003，86，4： | 1 |
| 11 | An Assessment of the Effectiveness of Decision Tree Methods for Land Cover Classification显示文摘 | MAHESH PAL PAUL M MATHER | | 0，，04： | 1 |
| 12 | An assessment of the effectiveness of decision tree methods for land cover classification显示文摘 | Mahesh Pal Paul M M ather | 2003 | Remote Sensing of Environment2003，，86： | 1 |
| 13 | An assessment of the effectiveness of decision tree methods for land cover classification显示文摘 | Pal Mahesh Mather Paul M | 2003 | Remote Sensing of Environment2003，86，4： | 1 |
| 14 | Synthesis and characterization of organomodified Na-MMT using cation and anion surfactants显示文摘The Sodium Montmorillonite(Na-MMT)is not susceptible to polymer due to its organophilic character and low basal spacing.The primary objective of this study was to improve Na-MMT platelets separation by organically modifying it with cation and anion exchanges using Cetyl trimethyl ammonium bromide(CTAB)and Sodium dodecyl sulfate(SDS)respectively.Basal spacing,presence of functional groups,Zetapotential with particle size analysis and thermal stability of the Organomodified Na-MMT(OMMT)were characterized using XRD,FTIR,zeta-potential analyzer and TGA respectively.The basal spacing of CTAB modified OMMTincreased to 19.5Åfrom 11.0Åwhich corresponds to the basal spacing of Na-MMT.The SDS modified OMMT did not show any increase in the basal spacing.FTIR spectra of CTAB modified Na-MMT illustrated the attachment of CTAB functional groups to Na-MMT,while the same was absent in the case of SDS modified Na-MMT.The zeta-potential of Na-MMT shifted from–24.88 mV to 15.66 mV in the case of CTAB modified Na-MMTand 12.49 mV for SDS modified Na-MMT,indicating a greater surface potential of the modified nanoclay.The TGA showed greater weight loss for CTAB modified Na-MMT than that for Na-MMT,indicating the effective Na+ion exchange with alkyl amines. | K.R.Vishnu MAHESH H.N.Narasimha MURTHY B.E.KUMARASWAMY N.RAGHAVENDRA R.SRIDHAR M.KRISHNA Niranjan PATTAR Ratna PAL B.S.Sherigara | 2011 | Frontiers of Chemistry in China2011，6，2： | 1 |
| 15 | An assessment of the effectiveness of decision tree methods for land cover classification显示文摘 | Mahesh Pal Paul M Mather | 2003 | Remote Sensing of Environment2003，86，： | 1 |
| 16 | M5 model tree application in daily river flow forecasting in Sohu Stream, Turkey显示文摘 | M. Taghi Sattari Mahesh Pal Halit Apaydin Fazli Ozturk | 2013 | Water Resources2013，，3： | 1 |
| 17 | An assessment of the effectiveness of decision tree methods for land cover classification显示文摘 | Mahesh Pal Paul M Mather | 2003 | Remote Sensing of Environment2003，，4： | 1 |
| 18 | An assessment of the effective of decision tree methods for land cover classification显示文摘 | MAHESH PAL PAUL M M | 2003 | Remote Sensing of Environment2003，86，： | 1 |
| 19 | A comparison of decision tree and backpropagation neural network classifiers for land use classification显示文摘 | Pal Mahesh Mather Paul | 2002 | IEEE International Geoscience and Remote Sensing Symposium2002，，6： | 1 |
| 20 | A Comparison of Decision Tree and Backpropa- gation Neural Network Classifiers for Land Use Classification显示文摘 | Mahesh Pal Paul M Mather | 2002 | Geoscience and Remote Sensing Symposium2002，6，1： | 1 |
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