LEADER 01094nam0-2200373li-450 001 990000164530203316 005 20180312154857.0 010 $a3-540-60207-0 035 $a0016453 035 $aUSA010016453 035 $a(ALEPH)000016453USA01 035 $a0016453 100 $a20001109d1995----km-y0itay0103----ba 101 0 $aeng 102 $aGW 200 1 $aNeural networks$ean introduction$fB. Müller, J. Reinhart, M. T. Strickland 205 $a2nd updated and corrected ed 210 $aBerlin [etc.]$cSpringer-Verlag$dcopyr. 1995 610 1 $areti neurali 676 $a006.3$9. 700 1$aMuller,$bBerndt$047380 702 1$aReinhardt,$bJoachim 702 1$aStrickland,$bMichael T. 801 $aSistema bibliotecario di Ateneo dell' Università di Salerno$gRICA 912 $a990000164530203316 951 $a006.3 MÜL$b0007009 959 $aBK 969 $aTEC 979 $c19960610 979 $c20001110$lUSA01$h1712 979 $c20020403$lUSA01$h1624 979 $aPATRY$b90$c20040406$lUSA01$h1612 996 $aNeural networks$9924993 997 $aUNISA LEADER 11049nam 22004813 450 001 9910831500603321 005 20240204090250.0 010 $a981-9962-29-3 035 $a(MiAaPQ)EBC31099697 035 $a(Au-PeEL)EBL31099697 035 $a(EXLCZ)9930165526400041 100 $a20240204d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent Advances in Civil Engineering $eSelect Proceedings of ICC-IDEA 2023 205 $a1st ed. 210 1$aSingapore :$cSpringer Singapore Pte. Limited,$d2024. 210 4$d©2024. 215 $a1 online resource (683 pages) 225 1 $aLecture Notes in Civil Engineering Series ;$vv.398 311 08$aPrint version: Reddy, Krishna R. Recent Advances in Civil Engineering Singapore : Springer Singapore Pte. Limited,c2024 9789819962280 327 $aIntro -- Preface -- Contents -- Editors and Contributors -- Geotechnical Engineering -- Enhance the Engineering Properties of Low Load Carrying Capacity of Expansive Soil by Using Alccofine-1203 and Phosphogypsum -- 1 Introduction -- 2 Materials and Methodology -- 2.1 Black Cotton Soil -- 2.2 Alccofine -- 2.3 Phosphogypsum (PG) -- 2.4 Testing Methodology -- 3 Result and Discussion -- 3.1 Atterberg Limits -- 3.2 Free Swell Index (FSI) -- 3.3 Free Swell Ratio (FSR) -- 3.4 Cation-Exchange Capacity -- 3.5 Unconfined Compressive Strength (UCS) -- 4 Mineralogical and Microstructural Analysis -- 4.1 SEM Analysis -- 5 Conclusion -- References -- Early Strength of an Expansive Soil Stabilized Using a Blend of Hydrated Lime, Unrefined Brown Sugar and Ground Gallnut Dust Under Varying Curing Conditions -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 3.1 Optimization of UBS and GGD -- 3.2 Influence of Curing Condition -- 3.3 Wet-Dry Response -- 4 Conclusions and Recommendations -- References -- A Study on the Strength Characteristics of Expansive Soil Blended with Rice Husk Ash -- 1 Introduction -- 2 Materials Used -- 2.1 Soil -- 2.2 Rice Husk Ash -- 3 Sample Preparation and Tests on Soil -- 4 Results and Discussions -- 4.1 Compaction Characteristics Behavior of Soil -- 4.2 Unconfined Compressive Strength -- 4.3 California Bearing Ratio -- 4.4 Free Swell Index -- 5 Conclusions -- References -- Study on Performance of Expansive Soil Using Agro Waste as a Sustainable Stabilizer -- 1 Introduction -- 2 Materials and Methodology -- 2.1 Soil -- 2.2 Wheat Husk Ash (WHA) -- 3 Sample Preparation and Tests -- 4 Results and Discussion -- 4.1 Effect of Additive in Strength Characteristics of the Soil -- 4.2 Effect of Additive in Swell Characteristics of the Soil -- 4.3 Microstructural Analysis of the Soil -- 5 Conclusion -- References. 327 $aArtificial Intelligence in the Construction Industry: A Status Update, Prospects, and Potential Application and Challenges -- 1 Introduction -- 1.1 The Conference that Started the Reign -- 1.2 Aim of the Review -- 2 Previous Systematic Literature Review in Civil Engineering -- 3 Research Methodology -- 3.1 Construction of Literature Review -- 4 Research and Analysis -- 4.1 RQ1 Elucidate AI? -- 4.2 RQ2 How Many Scholarly Works on AI from the AEC Have Been Published? -- 4.3 RQ3 What is the Application of AI in the Building Business? -- 4.4 RQ4 What is the Future of AI in the Building Sectors? -- 4.5 RQ5 What Are the Challenges Overlooked in Applying AI in Building Technology? -- 5 Conclusion -- References -- Prediction of Diaphragm Wall Deflection by Using Different Models for Deep Excavation in Sands -- 1 Introduction -- 2 Case Study Overview -- 3 Numerical Modelling -- 3.1 Mohr-Coulomb Model (MC Model) -- 3.2 Hardening Soil Model (HS Model) -- 3.3 Hardening Soil Small Strain Model (HSS Model) -- 4 Results -- 4.1 MC Model -- 4.2 HS Model -- 4.3 HSS Model -- 4.4 Comparing of Results from Different Soil Models -- 4.5 Numerical Analysis in 3D -- 5 Conclusion -- References -- Geomatics, Geosciences, Remote Sensing, Geographical Information Systems -- A Comparative Study on Various Water Index Methods Through Satellite Image Processing for Pre- and Post-flood Monitoring of 2021-A Case Study of Chengalpattu Taluk, India -- 1 Introduction -- 2 Study Area -- 3 Data Collection -- 4 Methodology -- 4.1 Data -- 4.2 Image Preprocessing -- 4.3 Index Analysis -- 4.4 Normalized Difference Water Index (NDWI) -- 4.5 Modified Normalized Difference Water Index (MNDWI) -- 4.6 Water Ratio Index (WRI) -- 5 Accuracy Assessment -- 6 Conclusion -- References -- Metro Route Selection Using Quantum GIS -- 1 Introduction -- 2 Methodology -- 3 QGIS Modelling Process. 327 $a3.1 Creating Shape File -- 3.2 Creating Road Map -- 3.3 Geomorphology Map -- 3.4 Soil Map -- 3.5 Slope Map -- 4 Results and Discussion -- 5 Conclusions -- References -- Groundwater Potential Zone Identification Through Remote Sensing GIS Technology in Part of Dharmapuri District, Tamil Nadu -- 1 Introduction -- 1.1 Climate and Rainfall -- 1.2 Population -- 1.3 Communication -- 1.4 Vegetation -- 1.5 Crops -- 1.6 Hydrogeology -- 2 Materials and Methods -- 2.1 Base Map Generation -- 2.2 Remote Sensing -- 3 Study Area Details and Groundwater Possibility -- 3.1 Study Area Description -- 3.2 Soil -- 3.3 Geology -- 3.4 Drainage Patterns and Drainage Density -- 3.5 Land Use/Land Cover -- 3.6 Slope -- 3.7 GIS Analysis -- 3.8 Groundwater Possible Studies -- 4 Conclusion -- References -- Watershed Monitoring Application for Sub-watersheds of Lower Palar River Reach Using Remote Sensing Data and Google Earth Engine Platform -- 1 Introduction -- 2 Study Area -- 3 Material and Methods -- 3.1 Data Used -- 3.2 Watershed Delineation -- 3.3 Rainfall Estimation -- 3.4 Land Use Land Cover Classification -- 3.5 Surface Water Mapping -- 3.6 Flood Mapping -- 3.7 Web-Based Application -- 4 Results and Discussion -- 5 Conclusion -- References -- Using Decision Risk and Decision Accuracy Metrics for Decision Making for Remote Sensing and GIS Applications -- 1 Introduction -- 1.1 Confusion Matrix -- 2 Research Background -- 3 Decision Metrics -- 3.1 Absolute Accuracy -- 3.2 Decision Risk -- 3.3 Decision Accuracy -- 4 Decision Metrics Interpretation -- 4.1 Decision Making for Classifier or Predictor or Estimator -- 4.2 Decision Making for Classification or Prediction or Estimation -- 5 Research Methodology -- 6 Result and Discussion -- 6.1 Classification -- 6.2 Classifier -- 7 Conclusion -- Appendix: Reference Confusion Matrix -- Confusion Matrix (Count-Based Method) [10]. 327 $aReferences -- Potential Hafir Dam Site Selection Using GIS and Remote Sensing Techniques in Gabiley District, Somaliland -- 1 Introduction -- 2 Study Area and Methodology -- 2.1 Research Area -- 2.2 Dam Site Selection Criteria -- 2.3 Steps of Site Selection -- 3 Results and Discussions -- 4 Conclusion -- References -- Surveying and Geospatial Engineering -- Spatial Analysis of Physical Characteristics of Slums in Tiruchirappalli City -- 1 Introduction -- 1.1 Role of GIS and Remote Sensing in Slum Mapping -- 2 Study Area -- 3 Methodology -- 3.1 Mapping and Assessment of Slum Using GIS -- 3.2 Mapping Through ArcMap -- 4 Results and Discussions -- 4.1 Results Obtained from Mapping Data -- 4.2 Identified Slums and Recognized Slums -- 4.3 Housing Conditions, Street Lights, and Street Light Availability -- 4.4 Slum Analysis -- 5 Conclusions -- References -- Assessment on the Impact of Land Use, Land Cover in the Upstream of the Adyar River Basin, Tamil Nadu, India -- 1 Introduction -- 2 Study Area: Upstream of the Adyar River Basin -- 3 Methods and Data Acquisitions -- 4 Result and Discussion -- 4.1 Land Use Land Cover Classification (LULC) -- 4.2 Accuracy Assessment -- 4.3 Upstream of the Adyar basin's LULC Change Deduction -- 5 Conclusion -- References -- Spatial Analysis of Soil Organic Carbon in the Thuckalay Block of the Kanyakumari District -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Area Description -- 2.2 Data -- 2.3 Methodology -- 3 Indices -- 3.1 Normalized Difference Vegetation Index (NDVI) -- 3.2 Bare Soil Index (BSI) -- 3.3 Soil Adjusted Vegetation Index (SAVI) -- 4 Results -- 4.1 Relationship Between SOC, BSI, and SAVI -- 5 Discussion -- 6 Conclusion -- References -- Analytical Hierarchy Process for Land Suitability Analysis of Urban Growth in Latakia, Syria -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Area. 327 $a2.2 Multicriteria Evaluation (MCE) Method and Thematic Maps Preparation -- 2.3 Defining Criteria Weights Using AHP -- 3 Results and Discussion -- 3.1 Land Slope -- 3.2 Land Elevation -- 3.3 Land Use (LU) -- 3.4 Road Proximity -- 3.5 Water Bodies -- 3.6 Coastal Line -- 3.7 Existing Settlements -- 4 Conclusion -- References -- Geospatial Analysis of Urban Sprawl Using Landsat Data in Kannur, Kerala -- 1 Introduction -- 2 Study Area -- 3 Materials and Methodology -- 3.1 Land Use/Land Cover Classifications -- 3.2 Accuracy Assessment -- 3.3 Change Detection -- 3.4 Built-up Area Map -- 4 Results and Discussion -- 4.1 Land Use and Land Cover Map -- 4.2 Accuracy Assessment -- 4.3 Change Detection in Built-up Area -- 5 Conclusion -- References -- Estimation and Monitoring on Fraction of Absorbed Photosynthetically Active Radiation (FPAR) Changes in Sathyamangalam Reserve Forest -- 1 Introduction -- 2 Normalized Difference Vegetation Index -- 3 Significance of FPAR -- 4 Study Area -- 5 Data Source -- 6 Methodology -- 7 Result and Discussion -- 8 Result and Discussion -- References -- Environmental Engineering -- Microplastics and the Environment: A Review -- 1 Introduction -- 2 Literature Survey -- 3 Sources of Microplastics -- 4 Distribution and Accumulation of Microplastics -- 5 Fate of Microplastics -- 6 Hazard of Microplastics -- 7 Conclusions -- References -- Microplastic Pollution Investigation for Chennai Coast -- 1 Introduction -- 1.1 Microplastic Definition -- 1.2 Primary Microplastics -- 1.3 Secondary Microplastics -- 1.4 Sources of Microplastics -- 1.5 Potential Effects on the Environment -- 1.6 Study Area -- 1.7 Necessity for the Project -- 1.8 Objective of the Project -- 2 Methodology for Water Samples -- 2.1 General -- 2.2 Sampling -- 3 Methodology for Beach Sediments -- 3.1 General -- 4 Conclusion -- References. 327 $aTreatment of Wastewater with Phytoremediation Using Water Hyacinth-A Review. 410 0$aLecture Notes in Civil Engineering Series 676 $a624 700 $aReddy$b Krishna R$0847446 701 $aRavichandran$b P. T$01669357 701 $aAyothiraman$b R$01669358 701 $aJoseph$b Anil$01669359 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910831500603321 996 $aRecent Advances in Civil Engineering$94030487 997 $aUNINA