Shipping is a heavily regulated industry and responsible for around 3% of global carbon
emissions. Global trade is highly dependent on shipping which covers around 90% of …

To face the worldwide competition and meet the recent requirements in the new information
technologies era, digitalization and adoption of new information techniques have become a …

In this paper, a modified cuckoo search algorithm with rough sets is presented to deal with
high dimensionality data through feature selection. The modified cuckoo search algorithm …

Feature selection is a process of selecting optimal features that produce the most prognostic
outcome. It is one of the essential steps in knowledge discovery. The crisis is that not all …

Evolutionary algorithms (EAs) have recently been suggested as a candidate for solving big
data optimization problems that involve a very large number of variables and need to be …

Early diagnosis of malignant leukemia can enormously help the physicians in choosing the
right treatment for the patient. A lot of diagnostic techniques are available to identify …

In recent years, most of the researchers are developing brain–computer interface (BCI)
applications for the physically disabled to be able to interconnect with peripheral devices …

Due to its rapid technological development, artificial intelligence will enter corporate
boardrooms in the very near future. This chapter explores the interplay between artificial …

Ambient intelligence is an emerging platform that provides advances in sensors and sensor
networks, pervasive computing, and artificial intelligence to capture the real time climate …

This paper developed a multiobjective Big Data optimization approach based on a hybrid
salp swarm algorithm and the differential evolution algorithm. The role of the differential …