MLSP-25.3
DATA-DRIVEN APPROACH FOR THE FLOQUET PROPAGATOR INVERSE PROBLEM SOLUTION
Alexander Hvatov, ITMO University, Russian Federation
Session:
Machine Learning for Earth Sciences and Materials
Track:
Machine Learning for Signal Processing
Location:
Gather Area G
Presentation Time:
Tue, 10 May, 21:00 - 21:45 China Time (UTC +8)
Tue, 10 May, 13:00 - 13:45 UTC
Tue, 10 May, 13:00 - 13:45 UTC
Session Chair:
Mihalis Nicolaou, The Cyprus Institute
Session MLSP-25
MLSP-25.1: FDSNET: AN ACCURATE REAL-TIME SURFACE DEFECT SEGMENTATION NETWORK
Jian Zhang, Runwei Ding, Miaoju Ban, Tianyu Guo, Key Laboratory of Machine Perception, Peking University, Shenzhen Graduate School, China
MLSP-25.2: PATH SIGNATURES FOR NON-INTRUSIVE LOAD MONITORING
Paul Moore, Theodor-Mihai Iliant, Filip-Alexandru Ion, Terry Lyons, University of Oxford, United Kingdom of Great Britain and Northern Ireland; Yue Wu, University of Strathclyde, United Kingdom of Great Britain and Northern Ireland
MLSP-25.3: DATA-DRIVEN APPROACH FOR THE FLOQUET PROPAGATOR INVERSE PROBLEM SOLUTION
Alexander Hvatov, ITMO University, Russian Federation
MLSP-25.4: CHUNKFUSION: A LEARNING-BASED RGB-D 3D RECONSTRUCTION FRAMEWORK VIA CHUNK-WISE INTEGRATION
Chaozheng Guo, Lin Zhang, Ying Shen, Tongji University, China; Yicong Zhou, University of Macau, China
MLSP-25.5: CLOSING THE SIM-TO-REAL GAP IN GUIDED WAVE DAMAGE DETECTION WITH ADVERSARIAL TRAINING OF VARIATIONAL AUTO-ENCODERS
Ishan Khurjekar, Joel Harley, University of Florida, United States of America
MLSP-25.6: DEEP LEARNING ON THE SPHERE FOR MULTI-MODEL ENSEMBLING OF SIGNIFICANT WAVE HEIGHT
Andrea Littardi, Offshore Monitoring Ltd., Cyprus. The Cyprus Institute, Cyprus, Italy; Anders Hildeman, Chalmers University of Technology, Sweden., Sweden; Mihalis A. Nicolaou, The Cyprus Institute, Cyprus., Cyprus