Pinned Repositories
Bike-Sharing-Demand-Forecasting-with-Machine-Learning
The semi-covariance is to capture short and long term effects present in the data, to help on clean of the raw data for machine learning.
Circular-Variance-Median-Filter-for-Body-Temperature
E((X-E(X))^(sqrt(2)+sqrt(-2))) so called circular variance is used to find out stable region of the body temperature measurement process through fore head etc.
covid-19-gene-convertor
Convert covid-19 amino acid sequence into charge sequence, and calculates complex correlations among viruses.
DE-US-HS-PSO-Code-for-the-100-Digit-Challenge
A Cooperative Optimization method that combines Differential Evolution, Univariate Sampling, Harmony Search and Particle Swarm Optimizer to deal with the 100-Digit Challenge of finding global optimum of multi-modal problems.
Gold-price-to-Nasdaq-Shanghai
The Python codes are used to line up daily market quote, patch up holidays and calculate the semi covariance among countries more than two!
MEMS-LIDAR-Momenergy-Functor
Research project for http://www.ehawkeye.cn/
Poincare-Fuchs-KleinAutomorphicFunction-COVID19-Mutations
We use one of Langlands Program automorphic function maps charge, isoelectric point, molecular weight and hydrophobic-hydrophilic index into mass to charge ratio, and examine IHU & Omicron mutations against OC43 etc flu virus and Wuhan sample.
RdRp-Protease-Analysis
Multiple-Variable Semi-Covariance Co-Efficiency Analysis of RNA-dependent RNA polymerase Proteins from SARS-CoV-2 variant and Other Coronaviruses for their Cross-Species Evolution
Round-Variances-for-SARS-COV-2-Gene
E((X-E(X))^(sqrt(2)-sqrt(-2))) so called round variance is used to find out unknown region of the genomic sequence from wild animals' and human virus.
swan-swarm-algorithm
This code is based on Player/Stage for simulating artificial swan swarm behaviors over Finsler manifold
steedhuang's Repositories
steedhuang/swan-swarm-algorithm
This code is based on Player/Stage for simulating artificial swan swarm behaviors over Finsler manifold
steedhuang/DE-US-HS-PSO-Code-for-the-100-Digit-Challenge
A Cooperative Optimization method that combines Differential Evolution, Univariate Sampling, Harmony Search and Particle Swarm Optimizer to deal with the 100-Digit Challenge of finding global optimum of multi-modal problems.
steedhuang/Circular-Variance-Median-Filter-for-Body-Temperature
E((X-E(X))^(sqrt(2)+sqrt(-2))) so called circular variance is used to find out stable region of the body temperature measurement process through fore head etc.
steedhuang/covid-19-gene-convertor
Convert covid-19 amino acid sequence into charge sequence, and calculates complex correlations among viruses.
steedhuang/Gold-price-to-Nasdaq-Shanghai
The Python codes are used to line up daily market quote, patch up holidays and calculate the semi covariance among countries more than two!
steedhuang/Poincare-Fuchs-KleinAutomorphicFunction-COVID19-Mutations
We use one of Langlands Program automorphic function maps charge, isoelectric point, molecular weight and hydrophobic-hydrophilic index into mass to charge ratio, and examine IHU & Omicron mutations against OC43 etc flu virus and Wuhan sample.
steedhuang/MEMS-LIDAR-Momenergy-Functor
Research project for http://www.ehawkeye.cn/
steedhuang/Round-Variances-for-SARS-COV-2-Gene
E((X-E(X))^(sqrt(2)-sqrt(-2))) so called round variance is used to find out unknown region of the genomic sequence from wild animals' and human virus.
steedhuang/Bike-Sharing-Demand-Forecasting-with-Machine-Learning
The semi-covariance is to capture short and long term effects present in the data, to help on clean of the raw data for machine learning.
steedhuang/dog-from-hell-covid-variant
Excel sheet version of calculations for immune escape infectivity and virulence changes
steedhuang/Forest-pesticide-covid-19-toll-GDP
Forest Envrironment Association Analysis for the Pandemic Health with Semi-Covariance
steedhuang/RdRp-Protease-Analysis
Multiple-Variable Semi-Covariance Co-Efficiency Analysis of RNA-dependent RNA polymerase Proteins from SARS-CoV-2 variant and Other Coronaviruses for their Cross-Species Evolution
steedhuang/Hearing-Post-Quantum-Hackers
This Matlab code simulates the probability that hackers can break the post quantum encryption.
steedhuang/hopping-radios-on-rocking-boats
This sheet calculates the QoS of radios as output by taking the input of the parameters of radios on ships with storming conditions.
steedhuang/Integer-Complexity-Bound-of-Post-Quantum-Cryptography
steedhuang/Multivariate-Polynomial-Public-Key-Digital-Signature-Trefoil-Knot-Algorithm
steedhuang/RecommenderSystem
Cross Product Modulo Summation Recommender System
steedhuang/steed-covariance-for-trump-vs-biden
Social Economy Association Analysis for the 2020 Presidential Election with Semi-Covariance
steedhuang/war-economy
The statistics for a window of an engineering observation is called running window quantity. Running intra-covariance is a special case of running inter-covariance, when two variables are the same. The inter-covariance minus the geometric average of respected intra-covariances is called the pure inter-covariance. It gives you cleaner association analysis compared with the running Pearson analysis. The normalization of covariance to standard deviation is called Pearson correlation coefficient. The covariance for the region above or below the average is called semi-covariance (upper or down). Here we present a pure running semi-covariance, an accurate ReLU (Rectified Linear Unit) way of measuring the inter-non-linear correlation between variables exclude the inter-non-linear components. Our framework is applied to successfully analyze the association between alternative factors and the toll response. The result of our analyses of the 12 years period after the 2007 Mortgage crisis on the war equipment companies stock versus the gold suggest that stocks from different regions have slightly different impact on the gold value that reflects the overall economy prosperities.