AbstractIn the last two decades, improvements in materials, sensors and machine
learning technologies have led to a rapid extension of electronic nose (EN)
related research topics with diverse applications. The food and beverage
industry, agriculture and forestry, medicine and health-care, indoor and outdoor
monitoring, military and civilian security systems are the leading fields which
take great... hiện toàn bộ
AbstractAudio-visual learning, aimed at exploiting the relationship between
audio and visual modalities, has drawn considerable attention since deep
learning started to be used successfully. Researchers tend to leverage these two
modalities to improve the performance of previously considered single-modality
tasks or address new challenging problems. In this paper, we provide a
comprehensive survey... hiện toàn bộ
AbstractLarge-scale multi-objective optimization problems (MOPs) that involve a
large number of decision variables, have emerged from many real-world
applications. While evolutionary algorithms (EAs) have been widely acknowledged
as a mainstream method for MOPs, most research progress and successful
applications of EAs have been restricted to MOPs with small-scale decision
variables. More recently... hiện toàn bộ