TH1.PA2.5
Normal With Occasional Anomalies: Feature Extraction for Detecting Non-Stationary Abnormal Events in Wind Turbines
Takuya Wakayama, Taiki Inoue, Waseda University, Japan; Jun Ogata, National Institute of Advanced Industrial Science and Technology, Japan; Makoto Iida, The University of Tokyo, Japan; Tetsuji Ogawa, Waseda University, Japan
Session:
TH1.PA2: Signal and Data Analytics for Machine Learning - III Poster
Track:
SiG-DML - Signal and Data Analytics for Machine Learning
Location:
Poster Area 2
Presentation Time:
Thu, 29 Aug, 10:30 - 12:30 France Time (UTC +1)
Presentation
Discussion
Resources
No resources available.
Session TH1.PA2
TH1.PA2.1: Resilience of Data-Driven Cyberattack Detection Systems in Smart Power Grids
Abdulrahman Takiddin, Florida State University, United States; Rachad Atat, Texas A&M University at Qatar, Qatar; Hayat Mbayed, Florida State University, United States; Muhammad Ismail, Tennessee Tech University, United States; Erchin Serpedin, Texas A&M University, United States
TH1.PA2.2: TIGHT HYBRIDIZATION OF LONG SHORT-TERM MEMORY NEURAL NETWORKS AND ROBUST KALMAN FILTER FOR REMAINING USEFUL LIFE ESTIMATION OF PROTON EXCHANGE MEMBRANE FUEL CELLS
Mathias Lecroart, Audrey Giremus, Tudor-Bogdan Airimitoaie, Mathieu Chevrié, Christophe Farges, Univ. Bordeaux, CNRS, Bordeaux INP, IMS, UMR 5218, France
TH1.PA2.3: RGB2LST: ENHANCING DEEP LEARNING-BASED LAND SURFACE TEMPERATURE ESTIMATION WITH MULTI-MODALITY AND ARTIFACTS REMOVAL
Issam Khedher, Univ Lyon, Univ Lyon 2, CNRS, INSA Lyon, UCBL, Centrale Lyon, LIRIS, UMR5205, France; Jean-Marie Favreau, Université Clermont Auvergne, CNRS, Mines de Saint-Etienne, LIMOS, France; Serge Miguet, Gilles Gesquière, Univ Lyon, Univ Lyon 2, CNRS, INSA Lyon, UCBL, Centrale Lyon, LIRIS, UMR5205, France
TH1.PA2.4: A Double-Edged Sword: The Power of Two in Defending Against DNN Backdoor Attacks
Quentin Le Roux, Thales Group, France; Kassem Kallas, IMT Atlantique, France; Teddy Furon, INRIA, France
TH1.PA2.5: Normal With Occasional Anomalies: Feature Extraction for Detecting Non-Stationary Abnormal Events in Wind Turbines
Takuya Wakayama, Taiki Inoue, Waseda University, Japan; Jun Ogata, National Institute of Advanced Industrial Science and Technology, Japan; Makoto Iida, The University of Tokyo, Japan; Tetsuji Ogawa, Waseda University, Japan
TH1.PA2.6: TOWARDS AUTONOMOUS ROBOTIC STRUCTURE INSPECTION WITH DENSE-DIRECT VISUAL-SLAM
Diego Navarro Tellez, Centre Inria d’Universit ́e Cˆote d’Azur & Cerema Normandie-Centre, France; Raphael Antoine, Cerema Normandie-Centre, France; Ezio Malis, Philipe Martinet, Centre Inria d’Universit ́e Cˆote d’Azur, France
TH1.PA2.7: Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Images
XIANLU LI, Nicolas Nadisic, Ghent University, Belgium; Shaoguang Huang, China University of Geosciences, China; Aleksandra Pizurica, Ghent University, Belgium
TH1.PA2.8: Enhancing the Explainability of Gradient Boosting Classification through Comparable Samples Selection
Emilien Boizard, Gilles Chardon, Frédéric Pascal, Universite Paris-Saclay, CNRS, CentraleSupelec, France
TH1.PA2.9: tLoc: A Mathematical Probabilistic Model for Wireless Fingerprinting
Alexandre Maranhão da Rocha, Lucas José Velôso de Souza, Guilherme Nascimento de Oliveira, CentraleSupélec, France; Raul de Lacerda, CentraleSupélec, Université Paris-Saclay, France
TH1.PA2.10: TinyData: Joint Dataset Condensation with Dimensionality Reduction
Yezi Liu, Yanning Shen, University of California Irvine, United States