IEEE

Research on a Novel Vehicle Rollover Risk Warning Algorithm Based on Support Vector Machine Model

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 ...
IEEE

CiteSpace-based Visualization and Analysis of Support Vector Machines in the Direction of Artificial Intelligence and Machine Learning

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 ...
Frontiers

Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models

Our findings suggest that, while PD is generally associated with a larger DAT deficit in specific brain structures of the neostriatum, it exhibits intrinsic heterogeneity across individuals, which may ...
InfoWorld

How to choose a data analytics and machine learning platform

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 ...
Scientific Research Publishing

Performance Analysis of Support Vector Machine (SVM) on Challenging Datasets for Forest Fire Detection ()

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 ...
Nature

Early warning and diagnostic visualization of Sclerotinia infected tomato based on hyperspectral imaging

This research explored the feasibility of early warning and diagnostic visualization of Sclerotinia infected tomato by using hyperspectral imaging technology. Healthy tomato plants and tomato plants ...
GitHub

Phi-OTDR_dataset_and_codes

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 ...
GitHub

Text preprocessing, representation and visualization from zero to hero.

Texthero is a python toolkit to work with text-based dataset quickly and effortlessly. Texthero is very simple to learn and designed to be used on top of Pandas. Texthero has the same expressiveness ...
Frontiers

Building an Open Source Classifier for the Neonatal EEG Background: A Systematic Feature-Based Approach From Expert Scoring to Clinical Visualization

Neonatal brain monitoring in the neonatal intensive care units (NICU) requires a continuous review of the spontaneous cortical activity, i.e., the electroencephalograph (EEG) background activity. This ...
istockphoto

Data Center stock illustrations

Data center interior isometric concept. Scenes of people... Data center interior isometric concept. Scenes of people characters working in departments: server tech support, storage, distribution or ...
Scientific Research Publishing

Sharma, R., Hara, K., & Tateishi, R. (2018). Developing Forest Cover Composites through a Combination of Landsat-8 Optical and Sentinel-1 SAR Data for the Visualization and ...

ABSTRACT: The Indochinese Peninsula, which contains two thirds of the world’s tropical forests, however, is one of the world’s most threatened habitat with some of the highest rates of deforestation ...