The Internet of Things (IoT) is enabled by the latest developments in smart sensors,
communication technologies, and Internet protocols with broad applications. Collecting data …

Machine learning (ML) allows the Internet of Things (IoT) to gain hidden insights from the
treasure trove of sensed data and be truly ubiquitous without explicitly looking for knowledge …

Nonalcoholic Fatty Liver Disease (NAFLD) is the most common cause of chronic liver
disease around the world. Remaining silent in the early stages makes its evaluation a …

In the last decade, there has been an admirable improvement in the classification accuracy
of various machine learning techniques used for disease diagnosis. This even aids in …

The classification of missing data is a challenging task, because the lack of pattern attributes
may bring uncertainty to the classification results and most classification methods produce …

实测数据的完整性和可靠性是工业大数据时代推动各行业发展的必要前提和关键因素.
盾构机作为隧道掘进施工的关键设备, 具有系统结构复杂, 部分属性关联度高等特点 …

Abstract Granular Computing (GrC) is a human-centric way to discover the fundamental
structure of data sets. The resulting information granules can be efficiently exploited to …

Various traffic-sensing technologies have been employed to facilitate traffic control. Due to
certain factors, eg, malfunctioning devices and artificial mistakes, missing values typically …

Identification of the correct number of clusters and the appropriate partitioning technique are
some important considerations in clustering where several cluster validity indices, primarily …

Liver disease is one of the leading causes of mortality in India, as it is in rest of the world.
This paper presents a survey on intelligent techniques applied to liver disorders between the …