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A multiparameter aerosol classification method and its application to retrievals from spaceborne polarimetry
Classifying observed aerosols into types (eg, urban‐industrial, biomass burning, mineral
dust, maritime) helps to understand aerosol sources, transformations, effects, and feedback …
dust, maritime) helps to understand aerosol sources, transformations, effects, and feedback …
Attack detection using artificial intelligence methods for SCADA security
Technological developments and transformations have rapidly risen since the Fourth
Industrial Revolution. The prevalence of industrial devices interconnected over the wireless …
Industrial Revolution. The prevalence of industrial devices interconnected over the wireless …
Online asynchronous detection of error-related potentials in participants with a spinal cord injury using a generic classifier
For brain–computer interface (BCI) users, the awareness of an error is associated with a
cortical signature known as an error-related potential (ErrP). The incorporation of ErrP …
cortical signature known as an error-related potential (ErrP). The incorporation of ErrP …
Enhancing web services with message-oriented middleware
P Maheshwari, H Tang, R Liang - … International Conference on …, 2004 - ieeexplore.ieee.org
This paper outlines the design and implementation of WSMQ, which is a message-oriented
middleware specifically designed to enhance the reliability of Web services. Highlights of …
middleware specifically designed to enhance the reliability of Web services. Highlights of …
[HTML][HTML] A Novel Hybrid Methodology Based on Transfer Learning, Machine Learning, and ReliefF for Chickpea Seed Variety Classification
Seed quality is a critical factor in crop production. Therefore, seed classification is required
to obtain high-quality seeds and to enhance agricultural sustainability and productivity. This …
to obtain high-quality seeds and to enhance agricultural sustainability and productivity. This …
A distributed trust establishment scheme for mobile ad hoc networks
J Sen, PR Chowdhury… - … Conference on Computing …, 2007 - ieeexplore.ieee.org
Wireless ad hoc networks have generated much interest, both in research literature and the
telecommunication industry. The attractiveness of these networks lies in the fact that unlike …
telecommunication industry. The attractiveness of these networks lies in the fact that unlike …
[PDF][PDF] Projection pursuit Random Forest using discriminant feature analysis model for churners prediction in telecom industry.
A major and demand issue in the telecommunications industry is the prediction of churn
customers. Churn describes the customer who attrites from the current provider to …
customers. Churn describes the customer who attrites from the current provider to …
[PDF][PDF] A simple and efficient supervised method for spatially weighted PCA in face image analysis
Abstract Principal Component Analysis (PCA) is an example of a successful unsupervised
statistical dimensionality reduction method, especially in small sample size problems …
statistical dimensionality reduction method, especially in small sample size problems …
Ranking tensor subspaces in weighted multilinear principal component analysis
Multilinear principal component analysis (MPCA) has been applied for tensor decomposition
and dimensionality reduction in image databases modeled through higher order tensors …
and dimensionality reduction in image databases modeled through higher order tensors …
Brain map** and interpretation of reading processing in children using eeg and multivariate statistical analysis
Difficulties in learning to read may have a number of causes and children tend to experience
on the phonological route the most common disturbance in this cognitive task. Using two …
on the phonological route the most common disturbance in this cognitive task. Using two …