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The aim of this study is the early detection of developing insulation defects in high-voltage oil-filled bushings based on the analysis of the temporal behavior of diagnostic indicators rather than only their comparison ...

The shift toward sustainable and intelligent buildings has accelerated the demand for advanced maintenance strategies that reduce energy waste, downtime, and improve reliability. Traditional maintenance approaches (react...

Understanding how semantic information flow reorganizes market topology remains an open challenge in financial network analysis. Prior work typically emphasizes price correlations or sentiment polarity, but rarely quanti...

The main objectives of the study are to develop a methodology for calculating the energy efficiency of a pneumatic drive with controlled braking and compressed air recuperation based on a three-dimensional CFD model, as ...

Cardiovascular diseases remain the leading cause of mortality worldwide, making accurate and efficient imaging-based diagnosis indispensable. Modern modalities such as Coronary Computed Tomography Angiography, Cardiac Ma...

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...

Cybersecurity education often struggles to engage learners while effectively conveying complex web vulnerabilities. This challenge is particularly evident in topics such as cross-site scripting (XSS), where understanding...

Farmer credit default identification in the context of inclusive finance is significantly hindered by sample scarcity, heterogeneous data sources, and the underutilization of “soft information” embedded in ...

Infant cry paralinguistics provides a non-invasive signal for early assessment of physiological and affective states. Yet, most learning approaches implicitly assume that the mapping between acoustic patterns and semanti...

Federated Prompt Learning (FPL) enables efficient collaborative adaptation of large-scale models, but it remains vulnerable to data heterogeneity: locally optimized prompts may become biased, thereby weakening the aggreg...

This work describes the design and optimization of a printed circuit board containing a rectangular half-loop coil designed to apply radio frequency signals on micrometric diamond crystals. The structure was optimized to...

Abstract This study presents the optimization and performance analysis of a tandem solar cell structure with the solar cell capacitance simulator in one dimension (SCAPS-1D). The novel monolithic two-terminal (2 T) tand...

Time-series forecasting is fundamental to decision-making across numerous domains; however, systematic temporal delays in predictions remain a largely overlooked or unrecognised phenomenon. This phenomenon occurs when fo...

In classical vernacular Chinese fiction, inferring affective stance in the presence of rhetorical devices often depends on implicit semantics and contextual cues, which poses substantial challenges for joint pragmatic mo...

The concern about the health risks that wireless technology can provide has grown globally thanks to the growing use of the devices by the population, by the finding that the public exposure to EMFs from the devices can ...

This work presents a radiation-hardened Superjunction Vertical Double-Diffused MOSFET (SJ-VDMOS) architecture designed to improve robustness against destructive single-event effects (SEEs), specifically Single-Event Gate...

Self-affine property of a modified multifractal Cantor geometry is exploited to design frequency selective surfaces (FSS) with multiband response. The main advantage of the proposed structure is to design multiband FSS w...

Abstract A first-principles study of the structural, electronic, magnetic, mechanical, and optical properties of the double perovskite Ca₂GaAsO₆ is presented using density functional theory with the Perdew-Burke-Ernz...

In this paper, a multispectral demosaicking algorithm that builds upon bilinear decomposition of a color image is proposed. The proposed algorithm can be summarized into three parts, where the first part constructs a gra...

Abstract Normally the physical dimensions of the taper transition that realizes the impedance matching between the impedance of the feeding line built in microstrip line technology and the impedance of the component buil...

This paper proposes a reinforcement learning framework for vision-based locomotion control of bipedal robots on complex, unstructured terrains, integrating privileged perception transfer, offline Transformer-based depth ...

This study develops a first-order quasi-static framework for climbing initiation in passive handcarts and proposes two passive modules to relax the resulting geometric constraints. Unlike motorized platforms that apply t...

Introduction. Scalar control (SC) and field-oriented control (FOC) are widely used in sensorless induction motor (IM) drives for their balance of performance and cost. Among estimation techniques, the voltage-model (VM) ...

In response to the operation problem of electric vehicle charging spots with grid forming capabilities within grid-connected micro-grids, this paper studies an optimization method for the operation of grid-forming chargi...