Abstract: This article proposed a graphical and statistical features-based broad learning system (GSF-BLS) to detect tropical cyclogenesis with the cross-calibrated multiplatform version 2.0 (CCMP ...

Abstract: Urban traffic flow prediction is a core task in intelligent transportation systems and plays a vital role in enabling real-time decision making and congestion management. However, ...

MicroRNAs (miRNAs) are of significance in tuning and buffering gene expression. Despite abundant analysis tools that have been developed in the last two decades, plant miRNA identification from ...

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J Clin Pharmacol. 2021 Aug; 61(8): 1081–1095. The availability of a model describing the time course of drug concentration profile is instrumental for implementing such a pharmacometric framework. The ...

The automatic identification of the topology of power networks is important for the data-driven and situation-aware operation of power grids. Traditional methods of topology identification lack a data ...

The dramatic success in machine learning has led to an explosion of artificial intelligence (AI) applications and increasing expectations for autonomous systems that exhibit human-level intelligence.

Popular neural networks for image-processing problems often contain many different operations, multiple layers of connections, and a large number of trainable parameters, often exceeding several ...