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301
Flexible, Fan-Out, Wafer-Level Packaging Using Polydimethylsiloxane and Printed Redistribution Layers
Published 2024-04-01“…In this study, a fully additive and scalable manufacturing process flow to realize a low-cost, flexible FOWLP system was introduced. Here, the integration of 36 LED chips in a biocompatible polydimethylsiloxane (PDMS) substrate was demonstrated using a stencil-printed silver (Ag) redistribution layer (RDL). …”
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302
Hierarchical robust shipboard hybrid energy storage sizing with three‐layer power allocation
Published 2023-06-01Get full text
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303
Bifunctional Memristive Behavior of a Dual‐Layer Structure Depending on the Configuration of Charge Transport
Published 2025-08-01“…Abstract This paper presents a method for integrating neuronal and synaptic functions within a thin dual‐layer featuring distinct dielectric strengths. …”
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304
Magnetic response of topological insulator layer with metamaterial substrate induced by an electric point source
Published 2025-01-01“…Here, we show that integrating TIs with active metamaterial substrates can significantly enhance the induced magnetic field by more than 10 ^4 times. …”
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305
An Adaptive Multi-Layer Anti-Lock Braking Control Method Based on Fuzzy Logic
Published 2024-01-01“…To this end, this paper proposes an Adaptive Multi-Layer Anti-Lock Braking Control Method (AMABC). Integrating various control technologies and optimized through an automatic switching logic, AMABC includes a Deceleration Rate Control module, a Pressure Optimization module, and a Fuzzy-based Anti-lock Control module. …”
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306
A deep learning-driven multi-layered steganographic approach for enhanced data security
Published 2025-02-01“…This paper addresses key limitations of traditional steganographic methods, such as limited payload capacity, susceptibility to detection, and lack of robustness against attacks. A novel multi-layered steganographic framework is proposed, integrating Huffman coding, Least Significant Bit (LSB) embedding, and a deep learning-based encoder–decoder to enhance imperceptibility, robustness, and security. …”
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307
Deep Learning-Based Vertical Decomposition of Ionospheric TEC into Layered Electron Density Profiles
Published 2025-05-01“…This study proposes a deep learning-based vertical decomposition model for ionospheric Total Electron Content (TEC), which establishes a nonlinear mapping from macroscale TEC data to vertically layered electron density (Ne) spanning 60–800 km by integrating geomagnetic indices (AE, SYM-H) and solar activity parameters (F10.7). …”
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308
Comparative analysis of empirical and deep learning models for ionospheric sporadic E layer prediction
Published 2025-01-01“…This study highlights the importance of integrating artificial intelligence technology into ionosphere modelling generally, and into predicting Es layer occurrences and characteristics, in particular.…”
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309
Numerical Analysis of Damage in Composites: From Intra-Layer to Delamination and Data-Assisted Methods
Published 2025-05-01“…This review provides a comprehensive analysis of current damage modeling approaches, including intra-layer and inter-layer failures. Various numerical strategies, such as continuum damage mechanics (CDM), cohesive zone models (CZM), extended finite element methods (XFEM), phase-field models (PFM), and peridynamics (PD), are examined to assess their efficiency in predicting crack initiation, propagation, and interaction. …”
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310
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311
Analytical Solution for Sound Radiation of Vibrating Circular Plates coupled with Piezo-electric Layers
Published 2016-11-01“…In the present study, the classical plate theory (CPT) was used to study sound radiation of forced vibrating thin circular plates coupled with piezoelectric layers using simply supported and clamped boundary conditions. …”
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312
Colloidal few layered graphene–tannic acid preserves the biocompatibility of periodontal ligament cells
Published 2025-05-01“…In this study, a biocomposite of few-layered graphene and tannic acid (FLG–TA) was synthesized through a straightforward, bio-based methodology. …”
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313
Local Back-Propagation for Forward-Forward Networks: Independent Unsupervised Layer-Wise Training
Published 2025-07-01“…To overcome these challenges, we propose Local Back-Propagation (LBP), a method that integrates layer-wise unsupervised learning with standard inputs and conventional loss functions. …”
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314
A Multi-Scale Unsupervised Feature Extraction Network with Structured Layer-Wise Decomposition
Published 2025-06-01Get full text
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315
Measurements of the Stiffness and Thickness of the Pavement Asphalt Layer Using the Enhanced Resonance Search Method
Published 2014-01-01“…Thickness of the asphalt surface layer followed the specifications of Malaysian PWD and MDD UKM, while some of the values of stiffness obtained are higher than the standard.…”
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316
Advancing Data Privacy in Cloud Storage: A Novel Multi-Layer Encoding Framework
Published 2025-07-01“…This approach introduces a multi-layer encoding storage arrangement combined with the implementation of a one-time password authorization approach. …”
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317
Comparative Analysis of Layer Thickness Measurement Methods for Photovoltaic Modules: A Comprehensive Study
Published 2024-12-01“…Central to this effort is the precise determination of layer thicknesses, critical for effective characterization, and separation of input material. …”
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318
Planar Wide-Angle Imaging System with a Single-Layer SiC Metalens
Published 2025-07-01“…Optical systems with wide field-of-view (FOV) imaging capabilities are crucial for applications ranging from biomedical diagnostics to remote sensing, yet conventional wide-angle optics face integration challenges in compact platforms. Here, we present the design and experimental demonstration of a single-layer silicon carbide (SiC) metalens achieving a 90° total FOV, whose planar structure and small footprint address the challenges. …”
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Detecting Fraudulent Transactions for Different Patterns in Financial Networks Using Layer Weigthed GCN
Published 2025-04-01“…The proposed approach integrates adaptive layer weighting, enabling the model to dynamically adjust the contribution of different GNN layers to better capture intricate transaction patterns. …”
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