Sfoglia per Soggetto "Change detection"
Items 1-10 di 10
-
Adaptive GLR Change Detector for Increasing Reliability of Vessel Performance System
(2019)In this paper a new adaptive GLR (generalized likelihood ratio) detector which is able to detect the stable periods of the operation of a vessel has been presented. To assess the performance of a vessel, the stable periods ... -
Backward Degree a new index for online and offline change point detection based on complex network analysis
(2022)How to identify an upcoming transition in a time series continues to be an important open research issue. In various fields of physical sciences, engineering, finance and neuroscience abrupt changes can occur unexpectedly ... -
Change detection and convolution neural networks for fall recognition
(2020)Accurate fall detection is a crucial research challenge since the time delay from fall to first aid is a key factor that determines the consequences of a fall. Wearable sensors allow a reliable way for motion tracking, ... -
Computer Vision and Pattern Recognition for the Analysis of 2D/3D Remote Sensing Data in Geoscience: A Survey
(2022)Historically, geoscience has been a prominent domain for applications of computer vision and pattern recognition. The numerous challenges associated with geoscience-related imaging data, which include poor imaging quality, ... -
Decentralized CUSUM change detection
(2006)We consider the problem of decentralized change detection using the CUSUM test. More than one sensors acquire independent signals and send their quantized version to a fusion center that uses this information to detect a ... -
Deep learning and change detection for fall recognition
(2019)Early fall detection is a crucial research challenge since the time delay from fall to first aid is a key factor that determines the consequences of a fall. Wearable sensors allow a reliable way for daily-life activities ... -
The EvoGen benchmark suite for evolving RDF data
(2016)Artificial and synthetic data are widely used for benchmarking and evaluating database, storage and query engines. This is usually performed in static contexts with no evolution in the data. In the context of evolution ... -
Land use changes and its impacts on water resources in Nile Delta region using remote sensing techniques
(2013)Sustainable water resources management plans depend on reliable monitoring of land use -land cover (LULC) changes. The use of the remote sensing techniques in LULC changes detection brings consistency and reliability to ... -
A new co-learning method in spatial complex fuzzy inference systems for change detection from satellite images
(2022)The detection of spatial and temporal changes (or change detection) in remote sensing images is essential in any decision support system about natural phenomena such as extreme weather conditions, climate change, and floods. ... -
Real Time Sentiment Change Detection of Twitter Data Streams
(2018)In the past few years, there has been a huge growth in Twitter sentiment analysis having already provided a fair amount of research on sentiment detection of public opinion among Twitter users. Given the fact that Twitter ...