Intelligent transportation (eg, intelligent traffic light) makes our travel more convenient and
efficient. With the development of mobile Internet and position technologies, it is reasonable …

Big Data has emerged in the past few years as a new paradigm providing abundant data
and opportunities to improve and/or enable research and decision-support applications with …

This study conducted a comprehensive review of big data supply chain analytics (BDSCA).
The paper explored the application of big data in supply chain management and its benefits …

As we have entered an era of high resolution earth observation, the RS data are undergoing
an explosive growth. The proliferation of data also give rise to the increasing complexity of …

This paper introduces GeoSpark an in-memory cluster computing framework for processing
large-scale spatial data. GeoSpark consists of three layers: Apache Spark Layer, Spatial …

This paper describes SpatialHadoop; a full-fledged MapReduce framework with native
support for spatial data. SpatialHadoop is a comprehensive extension to Hadoop that injects …

Large spatial data becomes ubiquitous. As a result, it is critical to provide fast, scalable, and
high-throughput spatial queries and analytics for numerous applications in location-based …

The physical phenomena derived from an analysis of remotely sensed imagery provide a
clearer understanding of the spectral variations of a large number of land use and cover …

The paper presents the details of designing and developing GeoSpark, which extends the
core engine of Apache Spark and SparkSQL to support spatial data types, indexes, and …

Almost 20 years have passed since the commercial introduction of whole-slide imaging
(WSI) scanners. During this time, the creation of various WSI devices with the ability to …