As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Abstract: A novel vehicle rollover warning algorithm based on support vector machine (SVM) empirical model is proposed to improve the real-time of un-tripped rollover warning algorithm and accuracy of ...

Childhood asthma poses a significant threat to pediatric health, and traditional assessment methods are often inadequate in efficiency and accuracy. This study aims to develop a rapid assessment tool ...

Abstract: The purpose of this review is to provide an in-depth bibliometric analysis of Support Vector Machine (SVM) research literature in the field of Artificial Intelligence and Machine Learning in ...

A brief guide to data visualization, data analytics, and data science platform capabilities and differences, and seven steps to selecting the right data platform for your needs. While analytics ...

Risk Management concept. Risk control with shield symbol. Vector set of risk management line icons. Contains icons risk analysis, loss minimization, investment plan, management decision, risk ...

1 Department of Computer Science, Chennai Mathematical Institute, Chennai, India. 2 Department of Mathematics & Computer Science, Chennai Mathematical Institute, Chennai, India. 3 Department of Data ...

This dataset contains six types of Phi-OTDR events, including background noises, digging, knocking, shaking, watering and walking, in total of 15,419 samples. The data is divided into training set and ...

Research on the microbiome has boomed recently, which resulted in a wide range of tools, packages, and algorithms to analyze microbiome data. Here we investigate and map currently existing tools that ...