Remote Sensing, Artificial Intelligence and Deep Learning in Hydraulic Structure Safety Monitoring

With the gradual transformation of hydraulic engineering from digitization and intelligence to WISDOM, remote sensing technology, artificial intelligence and deep learning methods have been widely used for automatic perception, processing, storage and analysis of hydraulic structure engineering moni...

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Μορφή:	Online
Γλώσσα:	Αγγλικά
Έκδοση:	MDPI - Multidisciplinary Digital Publishing Institute 2026
Θέματα:	Cofferdam Double-row sheet pile Soft-ground foundation Structural stability Finite element method Residual neural network Knowledge distillation Transfer learning Concrete dam Crack detection Deformation prediction model Sluice Long short-term memory Seagull optimization algorithm Weighted Markov model UAV Ice jam Frazil ice floe Remote sensing Frazil ice jam Teledetection Ice morphometry Data processing High concrete dam In situ observation data Temperature field Temperature control index Information entropy Cloud model Dam safety Sluice seepage Prediction model MHHO BiLSTM Dam monitoring data Gross errors Environmental change FCM algorithm OPTICS algorithm LOF algorithm Streamflow forecast Machine learning Statistical techniques Göksu Stream Nonuniform deformation Random coefficient model Individual effect values Maximum entropy principle Swin Transformer Vision Transformer Feature fusion Hydraulic structure Soft foundation Integrated numerical analysis Time-dependent behavior Global sensitivity analysis BP neural network Pumped storage power station Core wall rockfill dam Phreatic line Vertical earth pressure Deformation Settlement prediction model Concrete face rockfill dam Variational mode decomposition Harris hawks optimization Support vector regression Factor mining Coal mine Underground reservoir Coal pillar dam Artificial dam Stability Structure safety monitoring Deformation prediction Artificial intelligence Feature engineering Stacking method Performance indicators N A thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Διαθέσιμο Online:	ONIX_20260416T142754_9783725854455_18
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ONIX_20260416T142754_9783725854455_18

Remote Sensing, Artificial Intelligence and Deep Learning in Hydraulic Structure Safety Monitoring

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