MMKE: Multi-trial vector-based monkey king evolution algorithm and its applications for engineering optimization problems
Monkey king evolution (MKE) is a population-based differential evolutionary algorithm in
which the single evolution strategy and the control parameter affect the convergence and the …
which the single evolution strategy and the control parameter affect the convergence and the …
A survey about community detection over On-line Social and Heterogeneous Information Networks
Abstract In modern Online Social Networks (OSNs), the need to detect users' communities
based on their interests and social connections has became a more and more important …
based on their interests and social connections has became a more and more important …
Overlap** community detection with adaptive density peaks clustering and iterative partition strategy
Y Niu, D Kong, L Liu, R Wen, J **ao - Expert Systems with Applications, 2023 - Elsevier
The community structure is a collection of individuals with common characteristics that
commonly exists in complex networks. The detection of community structures aids in mining …
commonly exists in complex networks. The detection of community structures aids in mining …
Performance evaluation of an independent time optimized infrastructure for big data analytics that maintains symmetry
Traditional data analytics tools are designed to deal with the asymmetrical type of data ie,
structured, semi-structured, and unstructured. The diverse behavior of data produced by …
structured, semi-structured, and unstructured. The diverse behavior of data produced by …
Stimulating trust cooperation in edge services: An evolutionary tripartite game
Network edge services have contributed to ordinary people's daily lives with numerous
conveniences but the accompanying problems, such as counterfeiting, the trust crisis and …
conveniences but the accompanying problems, such as counterfeiting, the trust crisis and …
A literature review of the current applications of machine learning and their practical implications
Abstract Customer Relationship Management (CRM) has been an important ally to
companies willing to improve their customer experiences. Lately, Machine Learning (ML) …
companies willing to improve their customer experiences. Lately, Machine Learning (ML) …
A deep learning approach for semi-supervised community detection in online social networks
Abstract Social Network Analysis (SNA) has gained popularity as a way to unveil and
identify useful social patterns as communities among users. However the continuous …
identify useful social patterns as communities among users. However the continuous …
Hiding ourselves from community detection through genetic algorithms
Community structure plays an important role in social networks, which can reveal potential
social relationships and deliver vast economic benefits to enterprises and organizations …
social relationships and deliver vast economic benefits to enterprises and organizations …
Population graph-based multi-model ensemble method for diagnosing autism spectrum disorder
With the advancement of brain imaging techniques and a variety of machine learning
methods, significant progress has been made in brain disorder diagnosis, in particular …
methods, significant progress has been made in brain disorder diagnosis, in particular …
How celebrities' green messages on twitter influence public attitudes and behavioral intentions to mitigate climate change
This research adds to the growing body of literature on the role of celebrities as emergent
spokespersons in climate advocacy using Twitter. This study investigates the effects of …
spokespersons in climate advocacy using Twitter. This study investigates the effects of …