The recently introduced multidimensional archive of phenotypic elites (MAP-Elites) is an
evolutionary algorithm capable of producing a large archive of diverse, high-performing …

Artificial intelligence has deeply revolutionized the field of medicinal chemistry with many
impressive applications, but the success of these applications requires a massive amount of …

Partitional clustering algorithms represent an interesting issue in pattern recognition due to
their high scalability and efficiency. The k-means, proposed since 1965, had shown great …

Since support vector machine (SVM) considers all the training samples equally, it suffers
from the problems of noise/outliers and class imbalance. Although many fuzzy support …

The agricultural sector is one of the leading ones in the economy of many countries, as it
creates the basis for their economic growth. Every region in every country has its own …

Real-time detection of anomalies in streaming data is receiving increasing attention as it
allows us to raise alerts, predict faults, and detect intrusions or threats across industries. Yet …

Molecular dynamics (MD) simulations are an exceedingly and increasingly potent tool for
molecular behavior prediction and analysis. However, the enormous wealth of data …

In this paper, a component-based multi-layer parallel network is proposed for airplane
detection in Synthetic Aperture Radar (SAR) imagery. In response to the problems called …

To solve the information overload problem of multimodal answers in community question
answering (CQA), this paper proposes a multimodal representative answer extraction …

Abstract By loading 3-nitrophenylboronic acid (3-NPBA) which can react with saccharide,
the fluorescence lanthanide metallogel can emit fluorescence signals at 398, 490 and 546 …