Functional traits are frequently used to evaluate plant adaptation across environments. Yet,
traits tend to have multiple functions and interactions, which cannot be accounted for in …

Machine learning is a field at the intersection of statistics and computer science that uses
algorithms to extract information and knowledge from data. Its applications increasingly find …

Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to
methods for unraveling the extraordinary complexity of neuronal connectivity. From the …

The emergence of blockchain technology has sparked significant attention from the supply
chain management (SCM) and logistics communities. In this paper, we present the results …

When people are facing difficulties, they often feel the need for a confidant-a person to vent
to or a sympathetic ear with whom to talk things through. How do they decide on whom to …

Deep neural networks (DNNs) have been widely applied to various applications, including
image classification, text generation, audio recognition, and graph data analysis. However …

Exactly half a century has passed since the launch of the first documented research project
(1965 Dendral) on computer‐assisted organic synthesis. Many more programs were created …

Action to tackle the complex and divisive issue of climate change will be strongly influenced
by public perception. Online social media and associated social networks are an …

Throughout the book, we use empirical examples to illustrate the material. Because social
networks are studied in a variety of traditional academic disciplines, we draw our examples …

Abstract This paper improved Cuckoo Search Optimization (CSO) algorithm with a Genetic
Algorithm (GA) for community detection in complex networks. CSO algorithm has problems …