Anonymization is a practical solution for preserving user's privacy in data publishing. Data
owners such as hospitals, banks, social network (SN) service providers, and insurance …

Cloud computing is a long‐standing dream of computing as a utility, where users can store
their data remotely in the cloud to enjoy on‐demand services and high‐quality applications …

Clustering in wireless sensor networks (WSNs) has proved to be one of the most efficient
ways to hierarchically organize the network topology for the purposes of load-balancing and …

Global continuous optimization is populated by its implementation in many real-world
applications. Such optimization problems are often solved by nature-inspired and meta …

Predicting crop yield is an important issue for farmers. Food security is important for decision-
makers. The agriculture industry can more accurately supply human demand for food if the …

K-means clustering algorithm is a partitional clustering algorithm that has been used widely
in many applications for traditional clustering due to its simplicity and low computational …

Nowadays, more and more optimization techniques are used to deal with complex
engineering optimization problems. Firefly algorithm (FA) inspired by the flash …

Predicting evaporation is essential for managing water resources in basins. Improvement of
the prediction accuracy is essential to identify adequate inputs on evaporation. In this study …

Nowadays, the proper management of data is a key business enabler and booster for
companies, so as to increase their competitiveness. Typically, companies hold massive …

Optimal power flow (OPF) is widely used in power systems. This problem involves adjusting
variables such as online capacity, generator output, power stability, and bus voltage to …