IEEE

A Study on the Fusion of Multiple Linear Statistical Regression and Deep Learning Models for Sea Surface Wind Speed Retrieval in Typhoon Regions Based on FY-3D_MWRI Data

Abstract: The Level 1 (L1) brightness-temperature data from the Fengyun-3D (FY-3D) Microwave Radiation Imager (MWRI) provide an important data source for retrieving high wind speeds over ocean ...
GitHub

Linear Regression Practice Using Python

Linear Regression Practice Using Python This study involves practical application of regression analysis, as covered in the Google Advanced Data Analytics course. For more information, you may refer ...
The Hacker News

Legacy Python Bootstrap Scripts Create Domain-Takeover Risk in Multiple PyPI Packages

Cybersecurity researchers have discovered vulnerable code in legacy Python packages that could potentially pave the way for a supply chain compromise on the Python Package Index (PyPI) via a domain ...
Scientific Research Publishing

A Multiple Linear Regression Model for Inflation Rate in the UK ()

School of Computing and Engineering, University of West, London, UK. In recent years, inflation has been a worrying factor for every country, which has become particularly high due to various ...
IEEE

ŶUGO: Enhancing Power Consumption Predictions in Data Centers through Combined Multiple Linear Regression and Gradient Boosting Techniques on Hypervisor Load

Abstract: Accurate power consumption prediction in data centers is critical for optimizing energy efficiency, but is fundamentally challenged by workloads exhibiting both linear and non-linear ...
Scientific Research Publishing

Le, N.T. and Benjapolakul, W. (2018) A Data Imputation Model in Phasor Measurement Units Based on Bagged Averaging of Multiple Linear Regression. IEEE Access, 6, 39324-39333.

ABSTRACT: This paper presents a new anomaly detection scheme based on modified DFT Adaptive Neural Network (ADALINE) for the determination of time skew error and ...