The prosperity of machine learning has been accompanied by increasing attacks on the
training process. Among them, poisoning attacks have become an emerging threat during …

Purpose The application of digital twins to optimise operations and supply chain
management functions is a bourgeoning practice. Scholars have attempted to keep pace …

Spatial omics data are advancing the study of tissue organization and cellular
communication at an unprecedented scale. Flexible tools are required to store, integrate and …

The COVID-19 pandemic has led to a changing environment posing many challenges that
call for innovative solutions, leading to a changing innovation landscape. We explore …

The acquisition, processing, mining, and visualization of sensory data for knowledge
discovery and decision support has recently been a popular area of research and …

Social media, such as Twitter and Facebook, plays a critical role in disaster management by
propagating emergency information to a disaster-affected community. It ranks as the fourth …

Egocentric network analysis is used widely across the social sciences, especially in
anthropology, political science, economics, and sociology, and is increasingly being …

Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …

Animal social networks are descriptions of social structure which, aside from their intrinsic
interest for understanding sociality, can have significant bearing across many fields of …

The COVID-19 pandemic has caused dramatic changes on a global scale. According to the
United Nations World Tourism Organization (2020), the restricted movement that has arisen …