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Dynamically-Scaled Deep Canonical Correlation Analysis
Canonical Correlation Analysis (CCA) is a method for feature extraction of two views by finding maximally correlated linear projections of them....
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Study on the Fundamentals of Electrical Engineering Based on Grey Correlation Analysis
The fundamentals of electrical engineering is a compulsory course set up by the school of electrical and automation of Wuhan University for...
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Regression Analysis for Finding Correlation on Indian Agricultural Data
Food scarcity will be a threatening problem in front of the global civilization due to huge growth in world population and reduce in world...
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Constrained Canonical Correlation Analysis for fMRI Analysis Utilizing Experimental Paradigm Information
Data-driven methods have been successfully used in functional magnetic resonance imaging (fMRI) data analysis, utilizing no explicit prior...
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Canonical correlation and visual analytics for water resources analysis
In the last decades, urbanization and population growth substantially increased water consumption for agricultural, industrial, and residential...
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A correlation analysis framework via joint sample and feature selection
Correlation Analysis is a popular technique for describing relationships between two datasets. In this paper, we proposed a correlation analysis...
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Robust generalized canonical correlation analysis
Generalized canonical correlation analysis (GCCA) has been widely used for classification and regression problems. The key idea of GCCA is to map the...
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Correlation analysis of energy consumption, carbon emissions and economic growth
In today's highly advanced industrialised and modernised world, China's economy is still growing, and its demand for energy is increasing daily. It...
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Research on Traffic Flow Prediction Based on Spatio-Temporal Correlation Analysis
With the advancement of urbanization, people’s living standards have significantly improved, but have also resulted in various challenges,...
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Visual Analysis of Machine Tool Operation Mode Correlation Based on Parameter Category Coding
Aiming at the problem that the machine tool operation data has many dimensions, the parameters relationship is complex, and its abnormal patterns and...
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Analysis of imprecise measurement data utilizing z-test for correlation
The conventional Z-test for correlation, grounded in classical statistics, is typically employed in situations devoid of vague information. However,...
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Inverter Fault Diagnosis Based on Improved Grey Correlation Analysis
The main component of the robot power system, the inverter, is crucial for maintaining the safety of the robot system. The failure modes and fault...
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Correlation-based advanced feature analysis for wireless sensor networks
In this study, we focus on real-time anomaly detection using the gated graph neural network (GGNN) and long short-term memory (LSTM) algorithms for...
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Correlation–Comparison Analysis as a New Way of Data-Mining: Application to Neural Data
This paper aims to present a way of multidimensional data-mining termed correlation–comparison analysis (CCA). It was applied to neural data to...
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In-depth Correlation Power Analysis Attacks on a Hardware Implementation of CRYSTALS-Dilithium
During the standardisation process of post-quantum cryptography, NIST encourages research on side-channel analysis for candidate schemes. As the...
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Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis
We introduce an informative metric, called morphometric correlation, as a measure of shared neuroanatomic similarity between two cognitive traits....
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Root Cause Analysis with Fuzzy Cognitive Maps and Correlation Coefficient
Production line calibration is a critical industrial task that requires thoroughly planned actions. Even tiny deviations from the optimal settings...
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UCM: Personalized Document-Level Sentiment Analysis Based on User Correlation Mining
Personalized document-level sentiment analysis (PDSA) is important in various fields. Although various deep learning models for PDSA have been...
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A Lattice Attack on CRYSTALS-Kyber with Correlation Power Analysis
CRYSTALS-Kyber is a key-encapsulation mechanism, whose security is based on the hardness of solving the learning-with-errors (LWE) problem over...
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Cross-Correlation Based Trace Segmentation for Clustering Power Analysis on Public Key Cryptosystems
Simple Power Analysis (SPA) is a technique that directly analyzes the power consumption information collected during the execution of cryptographic...