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Network Degradation Assessed by Evolved Gas Analysis-Mass Spectrometry Combined with Principal Component Analysis (EGA-MS-PCA): A Case of Thermo-Oxidized Epoxy/Amine Network
ULTRAVIOLET-IRRADIATION MECHANICAL-PROPERTIES BUTADIENE RUBBER EPOXY-RESINS TEMPERATURE PYROLYSIS COATINGS TRANSITION OXIDATION SCISSION
2023/11/16
To study the degradation of thermosetting polymers, we apply a novel method to simultaneously study the chemical structural changes and network topology: evolved gas analysis-mass spectrometry combine...
A laser scanner acquired in 2020 by the EN department’s metrology laboratory produces high-resolution 3D modelling of a wide variety of components.
ROAD NETWORK IDENTIFICATION AND EXTRACTION IN SATELLITE IMAGERY USING OTSU'S METHOD AND CONNECTED COMPONENT ANALYSIS
Road identification road extraction Otsu's method connected component analysis morphological operations
2019/2/27
As the high resolution satellite images have become easily available, this has motivated researchers for searching advanced methods for object detection and extraction from satellite images. Roads are...
A NOVEL TWO-COMPONENT DECOMPOSITION FOR CO-POLAR CHANNELS OF GF-3 QUAD-POL DATA
GF-3 satellite, Model-based decomposition, Two-component decomposition, Co-polar data, PolSAR
2018/5/14
Polarimetric target decomposition theory is the most dynamic and exploratory research area in the field of PolSAR. But most methods of target decomposition are based on fully polarized data (quad pol)...
CNN BASED RETINAL IMAGE UPSCALING USING ZERO COMPONENT ANALYSIS
Image upscaling CNN ZCA Whitening Retinal Images
2017/6/19
The aim of the paper is to obtain high quality of image upscaling for noisy images that are typical in medical image processing. A new training scenario for convolutional neural network based image up...
A Query Language for Understanding Component Interactions in Production Systems
Query language logs influence correlation production systems
2016/5/24
When something unexpected happens in a large production system,administrators must first perform a search to isolate which components and component interactions are likely to be involved. The system m...
Online Detection of Multi-Component Interactions in Production Systems
management statistical correlation modeling anomalies signal compression
2016/5/24
We present an online, scalable method for inferring the interactions among the components of large production systems.We validate our approach on more than 1.3 billion lines of log files from eight un...
Lithium battery component found to harm key soil microorganism
Lithium battery component soil microorganism
2016/2/23
The material at the heart of the lithium ion batteries that power electric vehicles, laptop computers and smartphones has been shown to impair a key soil bacterium, according to new research published...
Two-component Structure in the Entanglement Spectrum of Highly Excited States
Two-component Structure Entanglement Spectrum Highly Excited States
2016/1/22
We study the entanglement spectrum of highly excited eigenstates of two known models that exhibit a many-body localization transition, namely the one-dimensional random-field Heisenberg model and the ...
IMAGE FUSION BASED ON EXTENSIONS OF INDEPENDENT COMPONENT ANALYSIS
image processing integration image understanding fusion land cover
2015/12/31
Remote sensing image fusion can effectively improve the accuracy of image classification. This paper proposes an image fusion algorithm based on extensions of independent component analysis (ICA) and ...
SEASONAL VEGETATION CHANGE DETECTION USING INDEPENDENT COMPONENT ANALYSIS
Vegetation analysis PCA Independent component analysis Neural network Change detection
2015/12/31
The seasonal analysis of vegetation can be considered as looking for fundamental redundant information and detecting, at the same time, the natural changes of the vegetative cover undergone by the obs...
STUDY ON INDEPENDENT COMPONENT ANALYSIS’APPLICATION IN CLASSIFICATION AND CHANGE DETECTION OF MULTISPECTRAL IMAGES
Image Classification Change Detection Independent Component Analysis Principal Component Analysis
2015/12/31
Image classification and change detection is a hot topic in remote sensing. This paper sought to apply the method of independent component analysis (ICA), which develops from blind source separation, ...
AUTOMATIC CLASSIFICATION METHODS OF HIGH-RESOLUTION SATELLITE IMAGES:THE PRINCIPAL COMPONENT ANALYSIS APPLIED TO THE SAMPLE TRAINING SET
Remote Sensing IKONOS Classification Land Cover Processing Georeferencing
2015/12/31
In Remote Sensing the various bands of multispectral data have not the same relevance in order to identify pixels inside a specific land cover class. The band algebra combines different images in orde...
DETECTION AND INTERPRETATION OF GEOLOGICAL LINEAR FEATURES ON THE SATELLITE IMAGES BY USING GRADIENT FILTERING AND PRINCIPAL COMPONENT ANALYSIS
Geological Linear Feature Edge Detections Filtering Remote Sensing Landsat
2015/12/29
Digital image processing has the ability to detect geological linear features on the image by using some algorithms. The most common algorithm which is used for this purpose is edge filtering. Gradien...
CREVASSE DETECTION IN ALPINE AREAS USING GROUND PENETRATING RADAR AS A COMPONENT FOR A MOUNTAIN GUIDE SYSTEM
Gglaciology Crevasse Detection Ground Penetrating Radar Experiment
2015/12/28
Snow covered crevasses are of great danger for mountain tourists, especially if the snow cover is rather thin in late spring or early winter. This was the motivation to investigate methods and techniq...