Advances in high‐throughput omics technologies are leading plant biology research into the
era of big data. Machine learning (ML) performs an important role in plant systems biology …

Data mining is an analytical approach that contributes to achieving a solution to many
problems by extracting previously unknown, fascinating, nontrivial, and potentially valuable …

Background Genome mining for biosynthetic gene clusters (BGCs) has become an integral
part of natural product discovery. The> 200,000 microbial genomes now publicly available …

With the rapid development and implementation of ICT, academics and industrial
practitioners are widely applying robotic process automation (RPA) to enhance their …

Faradaic deionization (FDI) is an emerging water treatment technology based on electrodes
able to remove ionic species from water by charge transfer reactions. It is a young and …

In risk assessment of cardiovascular disease (CVD), the classification error caused by
unbalanced data is a significant challenge, which has sparked widespread concern and …

Abstract Artificial Intelligence (AI) and Machine Learning (ML) are currently hot topics in
industry and business practice, while management-oriented research disciplines seem …

Knowing personality traits and how people tend to think, feel and behave has been always
an appealing and studied topic. This interest together with the vast amount of data …

Every year, thousands of papers are published in journals and conferences by researchers
in many different fields. These papers are an important guide for other researchers …

One of the central issues that must be resolved for a metaheuristic optimization process to
work well is the dilemma of the balance between exploration and exploitation. The …