Abstract Cultural Algorithms (CAs) are evolutionary algorithms (EAs) inspired by the
conceptual models of the human cultural evolution process. In contrast to the conventional …

Protection of the water system is paramount due to the negative consequences of
contaminated water on the public health. Water resources are one of the critical …

To realize the bidirectional cognitive computing supported by cloud technology, the cloud
model is taken as a bidirectional cognitive computing model based on probability and …

Recently, multi-objective evolutionary algorithms (MOEAs) have been widely explored and
applied to many real-world problems. Particularly, preference-based MOEAs are among the …

From the perspective of military intelligence work, the rise and widespread use of the
network has opened up new horizons for intelligence acquisition, but the continuous …

Water is the source of human life and water pollution is becoming more and more serious
with the development of cities. The supervision and treatment of water resources have …

This paper presents and explores a novel methodology for solving the problem of a water
distribution network contamination event, which includes determining the exact source of …

We propose models based on SVM, Naïve Bayes and deep learning to solve the
consumption intention classification problem. Applying consumption intention mining to …

Urban water supply networks are susceptible to intentional, accidental chemical, and
biological pollution, which pose a threat to the health of consumers. In recent years, drinking …

Water distribution network (WDN) is one of the most essential infrastructures all over the
world and ensuring water quality is always a top priority. To this end, water quality sensors …