This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

This study presents a comparative analysis of machine ... learning algorithms were selected for comparative analysis based on their prevalence in IoT security literature and varying computational ...

Literature by Sun and Liu, (1995) puts forward a nonlinear programming model that unifies all kind of multiple linear regression such as principal components regression, ridge regression, robust ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer genomes.

Linear regression in machine learning is considered as the basis or foundation in machine learning. This video explains the entire maths and the algorithm behind What is Linear Regression in ...

and Linear Least Squares Regression (LSR) method. It is shown that LSR method to perform better than the rest. Then, Support Vector Machines (SVM) and Gaussian Process Regression (GPR) are tested by ...