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An electromagnetic transient (EMT) simulation framework is developed by integrating the Parallel-in-Time algorithm with a data-oriented Entity–Component–System (ECS) architecture. The proposed method aims t...

Abstract The Broad Learning System (BLS) provides an effective framework for nonlinear mapping, offering advantages over traditional deep neural networks through its expanded input node architecture. While BLS has demons...

Abstract This research employs hybrid machine learning techniques to optimize the mechanical properties of 3D-printed polylactic acid (PLA) lattice structures. By integrating random forest (RF) and XGBoost (XGB) algorith...

The present article examines four interrelated elements of the economy: namely, markets, labour, production, and distribution. These elements thus function as principles and laws. This approach is predicated on the premi...

Interest in electron diffraction (ED) for structural characterization of both proteins and small molecules has grown significantly over the last decade. While ab initio phasing methods remain the gold standard for ED dat...

This study focuses on the explainability of AI operations for diagnosing degradations in cloud applications. Log data can provide essential contextual information on misbehaving applications in monitoring, evaluated agai...

Real-time routing on large-scale road networks remains a critical challenge for intelligent transportation systems, particularly under high query loads and increasing graph sizes. While classical shortest path algorithms...