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101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aGeo-Congress 2024 $eGeotechnical Data Analysis and Computation
205   $a1st ed.
210  1$aReston :$cAmerican Society of Civil Engineers,$d2024.
210  4$dİ2024.
215   $a1 online resource (542 pages)
225 1 $aGeotechnical Special Publications ;$vv.352
327   $aIntro -- 0001 -- 0002 -- 0003 -- 0004 -- 0005 -- 0006 -- 0007 -- 0008 -- 0009 -- 0010 -- 0011 -- 0012 -- 0013 -- 0014 -- 0015 -- 0016 -- 0017 -- 0018 -- 0019 -- 0020 -- 0021 -- 0022 -- 0023 -- 0024 -- 0025 -- 0026 -- 0027 -- 0028 -- 0029 -- 0030 -- 0031 -- 0032 -- 0033 -- 0034 -- 0035 -- 0036 -- 0037 -- 0038 -- 0039 -- 0040 -- 0041 -- 0042 -- 0043 -- 0044 -- 0045 -- 0046 -- 0047 -- 0048 -- 0049 -- 0050 -- 0051 -- 0052 -- 0053 -- 0054 -- 0055 -- 0056 -- 0057 -- 0058.
330   $aGSP 352 contains 53 peer-reviewed papers on geotechnical data analysis and computation presented at Geo-Congress 2024, held in Vancouver, British Columbia, Canada, February 25-28, 2024.
410  0$aGeotechnical Special Publications
606   $aCOMPUTERS / Data Science / Data Modeling & Design$2bisacsh
606   $aTECHNOLOGY & ENGINEERING / Civil / Soil & Rock$2bisacsh
615  7$aCOMPUTERS / Data Science / Data Modeling & Design
615  7$aTECHNOLOGY & ENGINEERING / Civil / Soil & Rock
700   $aEvans$b T. Matthew$01823004
701   $aStark$b Nina$c(Geotechnical engineer)$01885148
701   $aChang$b Susan$01428382
801  0$bMiAaPQ
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906   $aBOOK
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996   $aGeo-Congress 2024$94520295
997   $aUNINA