Water is the elixir of life. It is a vital component of human survival. Water should be purified
for better and healthy style life of all living and non-living things. The quality of water plays …

Artificial intelligence (AI) has been a key driver to reduce operational uncertainty and
improve performance in supply chain management. Due to the advent of new data gathering …

Distributed data mining and ensemble learning are two methods that aim to address the
issue of data scaling, which is required to process the large amount of data collected these …

Business intelligence (BI) is the process of gathering correct information in the correct format
at the correct time; and delivering the results for decision-making purposes, or have a …

Genetic fuzzy systems (GFS) are based on the use of genetic algorithms for designing fuzzy
systems, and for providing them with learning and adaptation capabilities. In this context …

RBFNN with different algorithms and the logic mining method for forecasting constitute the
most significant tools and techniques, which are used to demonstrate the economic growth …

In this work different repositioning rules are investigated and compared in the context of free-
floating bike-sharing systems. A static complete reposition setting is adopted, ie, the system …

This study developed a framework incorporating economies of scale into the multimodal
minimum cost flow problem. To properly account for the economies of scale observed in …

Feature selection for transient classification is the problem of choosing among several
monitored parameters (ie, the features) to be used for efficiently recognizing the developing …

Web 2.0 has brought a huge amount of user-generated, social media data that contains rich
information about people's opinions and ideas towards various products, services, and …