001471824 000__ 04715cam\\2200661\i\4500
001471824 001__ 1471824
001471824 003__ OCoLC
001471824 005__ 20230908003316.0
001471824 006__ m\\\\\o\\d\\\\\\\\
001471824 007__ cr\cn\nnnunnun
001471824 008__ 230717s2023\\\\si\a\\\\ob\\\\000\0\eng\d
001471824 019__ $$a1390123618$$a1390559875
001471824 020__ $$a9789819927562$$q(electronic bk.)
001471824 020__ $$a9819927560$$q(electronic bk.)
001471824 020__ $$z9819927552
001471824 020__ $$z9789819927555
001471824 0247_ $$a10.1007/978-981-99-2756-2$$2doi
001471824 035__ $$aSP(OCoLC)1390627558
001471824 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dOCLCQ
001471824 049__ $$aISEA
001471824 050_4 $$aTA710
001471824 08204 $$a624.1/513630285631$$223/eng/20230717
001471824 1001_ $$aWengang, Zhang,$$eauthor.
001471824 24510 $$aApplication of machine learning in slope stability assessment /$$cZhang Wengang, Liu Hanlong, Wang Lin, Zhu Xing, Zhang Yanmei.
001471824 264_1 $$aSingapore :$$bSpringer ;$$aBeijing :$$bScience Press,$$c[2023]
001471824 264_4 $$c©2023
001471824 300__ $$a1 online resource (xix, 201 pages) :$$billustrations (chiefly color)
001471824 336__ $$atext$$btxt$$2rdacontent
001471824 337__ $$acomputer$$bc$$2rdamedia
001471824 338__ $$aonline resource$$bcr$$2rdacarrier
001471824 504__ $$aIncludes bibliographical references.
001471824 5050_ $$aOverview -- Remote Sensing Techniques -- Machine Learning Algorithms -- Real-time Monitoring and Early Warning of Landslide -- Prediction of Slope Stability Using Ensemble Learning Techniques -- Application of LSTM and Prophet Algorithm in Slope Displacement Prediction -- Displacement Prediction of Jiuxianping Landslide using GRU Networks -- Efficient Seismic Stability Analysis of Slopes Subjected to Water Level Changes Using Gradient Boosting Algorithms -- Efficient Reliability Analysis of Slopes in Spatially Variable Soils Using XGBoost -- Efficient Time-variant Reliability Analysis of Bazimen Landslide in the TGRA Using XGBoost and LightGBM -- Future work recommendation.
001471824 506__ $$aAccess limited to authorized users.
001471824 520__ $$aThis book focuses on the application of machine learning in slope stability assessment. The contents include: overview of machine learning approaches, the mainstream smart in-situ monitoring techniques, the applications of the main machine learning algorithms, including the supervised learning, unsupervised learning, semi- supervised learning, reinforcement learning, deep learning, ensemble learning, etc., in slope engineering and landslide prevention, introduction of the smart in-situ monitoring and slope stability assessment based on two well-documented case histories, the prediction of slope stability using ensemble learning techniques, the application of Long Short-Term Memory Neural Network and Prophet Algorithm in Slope Displacement Prediction, displacement prediction of Jiuxianping landslide using gated recurrent unit (GRU) networks, seismic stability analysis of slopes subjected to water level changes using gradient boosting algorithms, efficient reliability analysis of slopes in spatially variable soils using XGBoost, efficient time-variant reliability analysis of Bazimen landslide in the Three Gorges Reservoir Area using XGBoost and LightGBM algorithms, as well as the future work recommendation.The authors also provided their own thoughts learnt from these applications as well as work ongoing and future recommendations.
001471824 588__ $$aDescription based on print version record.
001471824 650_0 $$aSlopes (Soil mechanics)$$xStability$$xData processing.
001471824 650_0 $$aMachine learning$$xIndustrial applications.
001471824 650_0 $$aArtificial intelligence$$xEngineering applications.
001471824 655_0 $$aElectronic books.
001471824 7001_ $$aHanlong, Liu,$$eauthor.
001471824 7001_ $$aLin, Wang,$$eauthor.
001471824 7001_ $$aXing, Zhu,$$eauthor.
001471824 7001_ $$aYanmei, Zhang,$$eauthor.
001471824 77608 $$iPrint version:$$tAPPLICATION OF MACHINE LEARNING IN SLOPE STABILITY ASSESSMENT.$$d[Place of publication not identified] : SPRINGER VERLAG, SINGAPOR, 2023$$z9819927552$$w(OCoLC)1375536942
001471824 852__ $$bebk
001471824 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-2756-2$$zOnline Access$$91397441.1
001471824 909CO $$ooai:library.usi.edu:1471824$$pGLOBAL_SET
001471824 980__ $$aBIB
001471824 980__ $$aEBOOK
001471824 982__ $$aEbook
001471824 983__ $$aOnline
001471824 994__ $$a92$$bISE