The first step in the construction of a regression model or a data-driven analysis, aiming to
predict or elucidate the relationship between the atomic-scale structure of matter and its …

Data clustering is a commonly used data processing technique in many fields, which divides
objects into different clusters in terms of some similarity measure between data points …

Oxytocin is a neuropeptide involved in animal and human reproductive and social behavior.
Three oxytocin signaling genes have been frequently implicated in human social behavior …

Automated analyses of the outcome of a simulation have been an important part of atomistic
modeling since the early days, addressing the need of linking the behavior of individual …

Density peaks clustering (DPC) is as an efficient clustering algorithm due for using a non-
iterative process. However, DPC and most of its improvements suffer from the following …

Global natural and manmade events are exposing the fragility of the tourism industry and its
impact on the global economy. Prior to the COVID-19 pandemic, tourism contributed 10.3 …

The character of an electronically excited state is one of the most important descriptors
employed to discuss the photophysics and photochemistry of transition metal complexes. In …

Product bundling is a commonly-used marketing strategy in both offline retailers and online
e-commerce systems. Current research on bundle recommendation is limited by:(1) noisy …

Pattern recognition (PR) is the study of how machines can examine the environment, learn
to distinguish patterns of interest from their background, and make reliable and feasible …

Homes are the building block of cities and societies and therefore smart homes are critical to
establishing smart living and are expected to play a key role in enabling smart, sustainable …