Unsupervised detection of contextual anomaly in remotely sensed data
Sign Up to like & getrecommendations! Published in 2017 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2017.01.034
Abstract: Abstract Massive amounts of remotely sensed data are being generated at an unprecedented rate, offering new opportunities for data-driven scientific discovery in the Earth sciences and related domains. However, due to the sheer volume of… read more here.
Keywords: unsupervised detection; sensed data; detection contextual; remotely sensed ... See more keywords
Distributed Unsupervised Detection for Robust Power System False Data Attacks via Flexible Dynamic Time Warping Strategy
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2024.3452202
Abstract: This article studies the modeling method of false data injection attacks (FDIAs) considering topological changes and relevant countermeasures. A novel robust FDIA model is built, which incorporates network and measurement uncertainties into the attack subnet… read more here.
Keywords: detection; distributed unsupervised; dynamic time; false data ... See more keywords
Abstract 4912: Unsupervised detection of stromal phenotypes with distinct fibrogenic and inflamed properties in NSCLC
Sign Up to like & getrecommendations! Published in 2024 at "Cancer Research"
DOI: 10.1158/1538-7445.am2024-4912
Abstract: Background: Understanding the composition of cancer-associated stroma (CAS) is vital, as the number and location of immune cells and fibroblasts, as well as the degree of extracellular matrix deposition, have implications for cancer progression and… read more here.
Keywords: cancer; stromal phenotypes; collagen; stroma ... See more keywords