This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within open-pit mining. Since hauling accounts for up to 60% of total operational costs, ...

Like many crime labs in the United States, analysts at the center routinely perform forensic firearms identification, meaning they inspect crime scene evidence — in this instance, the microscopic ...

In a single experiment, scientists can decipher the entire genomes of many patient samples, animal models, or cultured cells.

Electrical distribution systems are characterized by dynamic operating conditions and complex network topologies, which pose significant challenges for the effective deployment of protection schemes.

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

How does a tiny cluster of cells become an embryo with a head, trunk, and tail? And how do thousands of genes coordinate this development?

Abstract: Scientific workflow serves as a critical framework supporting large-scale scientific discovery. However, their I/O performance has become the bottleneck in Exascale computing environment.

Abstract: We propose a novel ensemble clustering approach for multi-label document classification by decoding cluster boundaries. Our methodology leverages the strengths of multiple clustering ...