3 citations · 5 across the 6 of their papers we have counts for
6 papers
Disaster Anomaly Detector via Deeper FCDDs for Explainable Initial Responses
Takato Yasuno, Masahiro Okano, Junichiro Fujii
Extreme natural disasters can have devastating effects on both urban and rural areas. In any disaster event, an initial response is the key to rescue within 72 hours and prompt rec…
Wooden Sleeper Deterioration Detection for Rural Railway Prognostics Using Unsupervised Deeper FCDDs
Takato Yasuno, Masahiro Okano, Junichiro Fujii
Maintaining high standards for user safety during daily railway operations is crucial for railway managers. To aid in this endeavor, top- or side-view cameras and GPS positioning s…
One-class Damage Detector Using Deeper Fully-Convolutional Data Descriptions for Civil Application
Takato Yasuno, Masahiro Okano, Junichiro Fujii
Infrastructure managers must maintain high standards to ensure user satisfaction during the lifecycle of infrastructures. Surveillance cameras and visual inspections have enabled p…
MN-Pair Contrastive Damage Representation and Clustering for Prognostic Explanation
Takato Yasuno, Masahiro Okano, Junichiro Fujii
For infrastructure inspections, damage representation does not constantly match the predefined classes of damage grade, resulting in detailed clusters of unseen damages or more com…
VAE-iForest: Auto-encoding Reconstruction and Isolation-based Anomalies Detecting Fallen Objects on Road Surface
Takato Yasuno, Junichiro Fujii, Riku Ogata +1
In road monitoring, it is an important issue to detect changes in the road surface at an early stage to prevent damage to third parties. The target of the falling object may be a f…
Flood Inflow Forecast Using L2-norm Ensemble Weighting Sea Surface Feature
Takato Yasuno, Masazumi Amakata, Junichiro Fujii +2
It is important to forecast dam inflow for flood damage mitigation. The hydrograph provides critical information such as the start time, peak level, and volume. Particularly, dam m…