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A Comparative Study on Canonical Correlation Analysis-Based Multi-feature Fusion for Palmprint Recognition
Contactless palmprint recognition provides high-accuracy and friendly experience for users without directly contacting the recognition device....
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A novel supervised correlation analysis based on partial differential equations for multi-feature extraction and fusion
In high dimensional data analysis, canonical correlation analysis (CCA) mainly studies the linear correlation between two sets of features and it is...
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Correlation Cube Attack Revisited
In this paper, we improve the cube attack by exploiting low-degree factors of the superpoly w.r.t. certain “special” index set of cube (ISoC). This...
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Correlation-based outlier detection for ships’ in-service datasets
With the advent of big data, it has become increasingly difficult to obtain high-quality data. Solutions are required to remove undesired outlier...
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Power Spectral Fractal Dimension and Wavelet Features for Mammogram Analysis: A Machine Learning Approach
AbstractThe paper delineates a novel method based on power spectral fractal dimension for the identification, classification, and prediction of...
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An analysis of the correlation between income and the consumption of energy in Bangladesh
This research takes a methodical look at how rising incomes and climate change affect energy use in six different divisions of Bangladesh. To...
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Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI
Resting-state fMRI (rs-fMRI) functional connectivity (FC) analysis provides valuable insights into the relationships between different brain regions...
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Construction of the Evaluation Model of University Specialty Status Based on Hierarchical Dynamic Grey Correlation Analysis
The weight coefficient of each evaluation index is determined by fuzzy analytic hierarchy process (FAHP), and the grey correlation degree is obtained...
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Power Grid Missing Data Filling Method Based on Historical Data Mining Assisted Multi-dimensional Scenario Analysis
In recent years, power grid data missing which caused by manual operation error and equipment failure often occurs, bringing difficulties to power...
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A survey on wind power forecasting with machine learning approaches
Wind power forecasting techniques have been well developed over the last half-century. There has been a large number of research literature as well...
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Exploring Genomic Sequence Alignment for Improving Side-Channel Analysis
Side-channel analysis (SCA) extracts sensitive information from a device by analyzing information that is leaked through side channels. These...
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Environmental Feature Correlation and Meta-analysis for Occupancy Detection - A Real-Life Assessment
Even though occupancy inference is of utmost importance for numerous real-time and real-life applications a widely-accepted approach to predict...
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Research on Intelligent Identification Method of Power Grid Missing Data Based on Improved Generation Countermeasure Network with Multi-dimensional Feature Analysis
With the rapid development of data acquisition system in power grid, the data fusion of power grid has become more and more mature. Aiming at the...
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Research on Day-Ahead Scheduling Strategy of the Power System Includes Wind Power Plants and Photovoltaic Power Stations Based on Big Data Clustering and Filling
Traditional power system scheduling optimization methods cannot fully deal with the massive data brought by the increase of new energy penetration....
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Quantile generalized measures of correlation
In this paper, we introduce a quantile Generalized Measure of Correlation (GMC) to describe nonlinear quantile relationship between response variable...
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Temperature-Aware Electromigration Analysis with Current-Tracking in Power Grid Networks
Electromigration (EM) is a severe reliability issue in power grid networks. The via array possesses special EM characteristics and suffers from Joule...
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Comparison of Inputs Correlation and Explainable Artificial Intelligence Recommendations for Neural Networks Forecasting Electricity Consumption
The energy sector explores various paths to improve the energy management of buildings. Nowadays a frequent path is to schedule load forecasting...
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Efficient detection of multivariate correlations with different correlation measures
Correlation analysis is an invaluable tool in many domains, for better understanding the data and extracting salient insights. Most works to date...
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Pseudorandom Correlation Functions from Variable-Density LPN, Revisited
Pseudorandom correlation functions (PCF), introduced in the work of (Boyle et al., FOCS 2020), allow two parties to locally generate, from short...
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Intrusion detection for power grid: a review
Cyber-attacks on power system assets are increasingly causing disruption of operations for modern-day utilities. Intrusion detection systems are...
