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

Large-scale optimizations (LSOPs) with high dimensional decision variables have become
one of the most challenging problems in engineering optimization. High dimensional …

Graph unlearning emerges as a crucial advancement in the pursuit of responsible AI,
providing the means to remove sensitive data traces from trained models, thereby upholding …

Complex networks (CNs) have gained much attention in recent years due to their
importance and popularity. The rapid growth in the size of CNs leads to more difficulties in …

In this study, a novel computational paradigm based on Morlet wavelet neural network
(MWNN) optimized with integrated strength of genetic algorithm (GAs) and Interior-point …

As a noticeable focal point in the field of analysis tools, Social Network Analysis (SNA) has
received much interest to model real-world phenomena in a variety of domains, eg, research …

Our global environment is facing significant waste and waste management challenges,
despite minor differences in definitions and what constitutes waste. In recent decades, waste …

Community detection is an important research area in social networks analysis where we
are concerned with discovering the structure of the social network. Detecting communities is …

Deep learning models are vulnerable to adversarial examples, and adversarial attacks used
to generate such examples have attracted considerable research interest. Although existing …

Detecting human mobility community structures is an important means to reveal urban
spatial structures. Due to the circadian clock, human mobility has a daily rhythm …