Deep learning (DL) techniques have obtained remarkable achievements on various tasks,
such as image recognition, object detection, and language modeling. However, building a …

With the evolution of new technologies, the production of digital data is constantly growing. It
is thus necessary to develop data management strategies in order to handle the large-scale …

Hierarchical time series demands are often associated with products, time frames, or
geographic aggregations. Traditionally, these hierarchies have been forecasted using “top …

Detecting cyber security vulnerabilities in the Internet of Things (IoT) devices before they are
exploited is increasingly challenging and is one of the key technologies to protect IoT …

This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …

Railway accident prediction is of great significance for establishing an early warning
mechanism and preventing the occurrences of accidents. Safety agencies rely on prediction …

Cocrystal engineering as an effective way to modify solid-state properties has inspired great
interest from diverse material fields while cocrystal density is an important property closely …

Google AlphaGos win has significantly motivated and sped up machine learning (ML)
research and development, which led to tremendous ML technical advances and wider …

Railroads are critical to the economic health of a nation. Unfortunately, railroads lose
hundreds of millions of dollars from accidents each year. Trends reveal that derailments …

Abstract Recently, Big Data analytics has been one of the most emerging topics in the
business field. Data is collected, processed and analyzed to gain useful insight for their …