Abstract: The purpose of this paper is to explore the application of K-Means cluster analysis and linear programming model in agricultural production. Firstly, the linear programming model is used to ...

PCA and K-means clustering applied to Raman and PL imaging reveal structural defects in silicon wafers, enhancing understanding of optoelectronic performance.

Abstract: In the context of ultra-low end applications such as smart homes, smart vehicles and Industrial Internet of Things (IIoT), the use of Plastic Optical Fibers (POFs) as communications backbone ...

KubeRNP Python Client Library Overview This is the implementation of a Python library, otherwise known as "KubeRNP", for interacting with a Kubernetes cluster. You can use this lib with a JupyterHub ...

Pure Python: We will use nested lists to represent and operate with vectors and matrices. NumPy: You will learn to work with arrays, which facilitates many operations and optimizes performance. By the ...