Credit cards play an essential role in today's digital economy, and their usage has recently
grown tremendously, accompanied by a corresponding increase in credit card fraud …

In today's era, internet-connected things provide immense opportunities to the world for
enhancing the quality of lives through better data processing and intelligent decision …

A timely detection of seizures for newborn infants with electroencephalogram (EEG) has
been a common yet lifesaving practice in the Neonatal Intensive Care Unit (NICU). However …

Data science and machine learning (ML) techniques are employed to shed light into the
molecular mechanisms that affect fluid-transport properties at the nanoscale. Viscosity and …

Sparse and limited well data in oil fields pose challenges in accurately estimating
petrophysical properties for reservoir characterization. Conventional Machine Learning (ML) …

This chapter gives a brief overview of reservoir characterization, with a focus on how the
emerging artificial intelligence, machine learning and data analytics techniques can improve …

We propose a prognostic machine learning (ML) framework to support the behavioural
outcome prediction for cancer survivors. Specifically, our contributions are four-fold:(1) …

The cost of acquiring new customers in the online commerce industry is greater than that of
retaining existing customers. Regarding sellers, the cost of acquiring new sellers is also …