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To address the challenges of aviation safety information overload in Pre-flight Information Bulletin (PIB) systems, this study proposes an intelligent classification framework (ERNIE-DPCNN) that integrates knowledge-enha...

This paper presents an innovative methodology for modeling and predicting high-frequency harmonic losses in the rotating field of an electrical machine powered by a frequency converter. Conventional approaches are often ...

Recent advances in computer vision and deep learning, particularly Convolutional Neural Networks (CNNs), have significantly increased road safety. CNNs were used in this work to automatically detect and categorise traffi...

In order to explore how different mass ratio combinations of virgin high-density polyethylene (V-HDPE)/recycled high-density polyethylene (R-HDPE) affect fibre and print quality, this study conducts a series of analyses....

Abstract In an elastic network paradigm, where the transceiver is able to control several characteristics of the transmitted signal according to the optical link quality and capacity demand, receivers able to automatical...

This article presents operational data from turboexpander units (TEU) wherein a stable temperature gradient across both the turboexpander and the turbocompressor coexists with its power imbalance. A hypothesis attributin...

The development of technology and the world of education today requires complex thinking. Technology can be used to make the learning process easier, more interesting, and more enjoyable. However, learning must continue ...

More flexible and cooperative decision-making processes are required as a result of society's digital transformation. The role of augmented intelligence, that is the synergistic fusion of artificial intelligence and huma...

BackgroundWith increasing pressure for global carbon emission reduction, geologic CO2 sequestration has emerged as a critical technical approach to achieving the goals of peak carbon dioxide emissions and carbon neutrali...

Although the available traffic data from navigation systems have increased steadily in recent years, it only reflects average travel time and possibly Origin-Destination information as samples, exclusively. However, the ...

The article analyzes current trends in the implementation of artificial intelligence (AI) technologies in manufacturing in the European Union. It is established that since 2018, the EU has evolved from the formation of b...

In the context of the rapid evolution of digital finance, artificial intelligence (AI) models are deeply integrated into critical business processes such as risk assessment, asset pricing, and anti-fraud. The resultant l...

ObjectiveLimestone water hazards in coal seam floors represent one of the two primary categories of mine water hazards in China. Limestone aquifers are generally characterized by abundant static water reserves and consid...

Abstract This study uses the Levenberg–Marquardt strategy with feed forward neural networks (LMS-FNN) to inspect the Soret-Dufour effect on radiative hybrid nanofluid flow across a Riga plate with gyrotactic microorgan...

The global transition to sustainable energy systems requires breakthroughs in electrochemical storage technologies that are not only safe but also resource efficient. Solid-state batteries (SSBs), which use superionic so...

Abstract Radio-Frequency Identification (RFID) is one of the leading enabling technologies of the Internet of Things (IoT) at low cost and high granularity scenarios. The cost of implementing IoT applications concerns th...

Abstract This paper describes an investigation of the possibility of using a new conductive ink, insted of copper clad laminates, in the manufacturing of microstrip patch antennas on glass and fiberglass substrates and o...

The Internet of Things (IoT) has emerged as a large-scale ecosystem that integrates sensing, communication, and computation across diverse application domains. Its deployment spans smart homes, wearable devices, industri...

Malware represents the most critical threat in cybersecurity, meant to compromise the security for any individual or any organization. These are covert software, designed to perform malicious act like data theft, data al...

Free-space optical (FSO) communication using dual-polarization self-coherent (DP-SC) transceivers is a promising solution for achieving high data rates and enhanced spectral efficiency in the next optical wireless system...

Real-time streaming pipelines are increasingly central to data-driven product decisions, yet the data quality literature has focused predominantly on batch systems. We present ADQM (Adaptive Data Quality Monitor), a fram...

Heterogeneous SoCs enhance system performance across various applications. However, managing and integrating components, interfacing hardware and software, and overseeing shared resources pose significant challenges for ...

This paper proposes an innovative automated multiphysics Microelectromechanical systems (MEMS) co-optimization platform integrating the embedded reduced-order modeling offered by Coventor MEMS+ with MATLAB’s numerical ...

High-end magnetron sputtering targets serve as the core foundational materials for fabricating critical functional films used in integrated circuits and flat panel displays. China currently faces a high external dependen...