alexandria engineering journal最新文献_第8页

MGHNM: A multi-granularity based on hybrid network model for postpartum hemorrhage prediction MGHNM：基于多粒度混合网络的产后出血预测模型

IF 6.8 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

alexandria engineering journal

Pub Date : 2026-01-01 DOI: 10.1016/j.aej.2025.12.026

Xiaodan Li , Yue Zhou , Fengchun Gao , Di Cheng , Wushan Li , Kaijian Xia , Hongsheng Yin

Precise prediction of postpartum hemorrhage (PPH) is of great significance for early identification of high-risk pregnant women, optimizing medical resource allocation, and reducing maternal mortality. However, existing PPH prediction methods suffer from limitations such as coarse prediction granularity, and single-stage prediction processes, leading to insufficient prediction accuracy. This has made prediction methods based on hybrid network architectures an important research direction in current PPH studies. This paper proposes a Multi-Granularity Hybrid Network Model (MGHNM) for PPH prediction, which integrates advanced methods such as ensemble learning, convolutional neural networks (CNN), and variational autoencoders (VAE). By leveraging multi-level feature extraction, the model effectively suppresses interference from secondary information, thus significantly enhancing prediction accuracy. The MGHNM model introduces a learnable control switch mechanism to achieve dynamic feature selection, significantly enhancing the model's discriminative ability. By organically combining the CatBoost classifier, CNN feature extractor, VAE representation learning module, and Vision Transformer (ViT), the hybrid network prediction model achieves a significant improvement in prediction accuracy for the three-level classification task of PPH severity (mild, moderate, and severe). The experimental data in this paper is derived from a PPH dataset constructed from the electronic medical record (EMR) system of the Maternal and Child Health Hospital in Jinan, Shandong Province, China. Three experiments were designed: First, the hyperparameters of the prediction model were optimized and analyzed. Second, a multi-model comparative experiment was conducted. Finally, an ablation study was performed. The experimental results demonstrate the significant superiority of the proposed MGHNM model for PPH prediction. It achieves an overall mean accuracy of 89.50 % with a standard deviation of 0.0045 %, substantially outperforming both the baseline and state-of-the-art (SOTA) methods.

准确预测产后出血（PPH）对早期发现高危孕妇、优化医疗资源配置、降低孕产妇死亡率具有重要意义。然而，现有的PPH预测方法存在预测粒度粗、预测过程单阶段等局限性，导致预测精度不足。这使得基于混合网络架构的预测方法成为当前PPH研究的一个重要研究方向。本文提出了一种用于PPH预测的多粒度混合网络模型（MGHNM），该模型集成了集成学习、卷积神经网络（CNN）和变分自编码器（VAE）等先进方法。该模型通过多级特征提取，有效地抑制了二次信息的干扰，显著提高了预测精度。MGHNM模型引入了可学习的控制切换机制，实现了动态特征选择，显著提高了模型的判别能力。混合网络预测模型通过将CatBoost分类器、CNN特征提取器、VAE表示学习模块和Vision Transformer （ViT）有机结合，对PPH严重程度（轻度、中度、重度）三级分类任务的预测精度有了显著提高。本文的实验数据来源于中国山东省济南市妇幼保健院电子病历（EMR）系统构建的PPH数据集。设计了三个实验：首先，对预测模型的超参数进行了优化和分析。其次，进行了多模型对比实验。最后，进行消融研究。实验结果表明，所提出的MGHNM模型在PPH预测方面具有显著的优越性。它的总体平均准确度为89.50 %，标准差为0.0045 %，大大优于基线和最先进的（SOTA）方法。

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引用次数: 0

New oscillation results for nonlinear delay differential equations of third-order in the canonical case 三阶非线性时滞微分方程在典型情况下的新的振荡结果

IF 6.8 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

alexandria engineering journal

Pub Date : 2026-01-01 DOI: 10.1016/j.aej.2025.12.036

Feryal Abdullah Aladsani , Ali Muhib

In this paper, we focus on finding new oscillation criteria for third-order differential equations. We used a variety of analytical techniques and combined them with new relationships to address some of the problems that have hindered previous studies. As a result, and by using comparability principles, we were able to obtain results that improve and extend some of the previous results published in the literature. We provide some examples to illustrate the effectiveness of the obtained results.

本文主要研究三阶微分方程的新的振动判据。我们使用了各种分析技术，并将它们与新的关系相结合，以解决阻碍以前研究的一些问题。因此，通过使用可比性原则，我们能够获得改进和扩展先前在文献中发表的一些结果的结果。通过算例说明所得结果的有效性。

引用次数: 0

Numerical techniques for two-parameter elastic foundation using integro-partial differential equations 双参数弹性地基的积分-偏微分方程数值计算技术

IF 6.8 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

alexandria engineering journal

Pub Date : 2026-01-01 DOI: 10.1016/j.aej.2025.12.037

P. Antony Prince , Sekar Elango , L. Govindarao , Bundit Unyong

This article presents numerical techniques for solving two-parameter singularly perturbed differential equations, which include a Fredholm integral term. Such problems arise in shell structures interacting with two-parameter elastic foundations. The proposed approach employs a developed exponentially fitted operator for the spatial component, the composite trapezoidal rule for the integral component on a uniform grid, and the backward Euler method for the temporal component to approximate the solution. The method achieves a first-order convergence rate when

ϵ ≪ μ^{2}

, and a second-order rate when

μ^{2} ≪ ϵ

in the spatial direction and first-order convergence in the temporal direction. Numerical findings are presented to demonstrate the theoretical framework of the proposed technique.

本文给出了求解含Fredholm积分项的双参数奇摄动微分方程的数值方法。这种问题出现在壳结构与双参数弹性基础相互作用时。该方法对空间分量采用发展的指数拟合算子，对均匀网格上的积分分量采用复合梯形规则，对时间分量采用倒推欧拉法逼近解。该方法在χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ。数值结果证明了该技术的理论框架。

引用次数: 0

GSPH: Granularity-guided Saturation Proxy Hashing with Self-adaptive Feature Importance for image retrieval GSPH：具有自适应特征重要性的粒度引导饱和代理哈希图像检索

IF 6.8 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

alexandria engineering journal

Pub Date : 2026-01-01 DOI: 10.1016/j.aej.2025.12.047

Richen Huang , Wenhua Zhou , Li Li , Jiyang Ye , Xiaolong Chen , Shuhua Peng

Deep supervised hashing, learning compact binary codes under label supervision through deep neural networks, is mainstream for large-scale image retrieval. However, existing methods still face two limitations. First, existing methods typically adopt a category-agnostic optimization mechanism for intra-category compactness, which neglects the varying intra-category diversity caused by category granularity and thereby limits model generalization. Moreover, these methods assign equal importance to all extracted features when feeding them into the hash layer, neglecting the incorporated irrelevant background information during feature extraction, reducing hash codes discriminative power. To address these, we propose a novel Granularity-guided Saturation Proxy Hashing (GSPH) framework. First, we introduce a Granularity-guided Saturation Proxy (GSP) loss that employs category-specific Hamming balls to achieve an optimization saturation mechanism: samples within their Hamming balls are deemed saturated and thus terminated from optimization, while those outside continue to be optimized toward their proxy. Additionally, GSP establishes a negative boundary with fixed margin outside each category’s Hamming ball, effectively ensuring inter-category separability. Second, we develop a Self-adaptive Feature Importance (SFI) module that employs gating mechanism to regulate feature importance during feature extraction, ensuring more discriminative representations. Extensive experiments on four benchmark datasets demonstrate that our method consistently outperforms existing methods.

深度监督哈希是指通过深度神经网络在标签监督下学习紧凑二进制码，是大规模图像检索的主流。然而，现有的方法仍然面临两个局限性。首先，现有方法通常采用与类别无关的类别内紧度优化机制，忽略了类别粒度引起的类别内多样性的变化，从而限制了模型的泛化。此外，这些方法在将提取的特征输入哈希层时对所有提取的特征赋予同等的重要性，在特征提取过程中忽略了合并的不相关背景信息，降低了哈希码的判别能力。为了解决这些问题，我们提出了一种新的粒度导向饱和代理哈希（GSPH）框架。首先，我们引入了一个粒度导向的饱和代理（GSP）损失，该损失采用特定类别的汉明球来实现优化饱和机制：汉明球内的样本被认为是饱和的，因此从优化中终止，而那些外部的样本继续朝着其代理进行优化。此外，GSP在每个类别的汉明球之外建立了一个固定边界的负边界，有效地保证了类别间的可分离性。其次，我们开发了一个自适应特征重要性（SFI）模块，该模块在特征提取过程中采用门控机制来调节特征重要性，以确保更具区别性的表征。在四个基准数据集上的大量实验表明，我们的方法始终优于现有的方法。

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引用次数: 0

Mathematical model analysis and solution properties of nonlinear filtration processes in multidimensional domains 多维域非线性过滤过程的数学模型分析及解的性质

IF 6.8 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

alexandria engineering journal

Pub Date : 2026-01-01 DOI: 10.1016/j.aej.2025.12.062

Mamatov Abrorjon , Aziza Nurumova , Mohammed Alharthi , Eman Ghareeb Rezk , Zaid Bassfar , Marwa M. Alzubaidi

This paper investigates a nonlinear thermo-chemical diffusion-reaction system characterized by coupled parabolic equations that govern the spatio-temporal evolution of temperature and concentration-dependent processes. The model incorporates nonlinear diffusion coefficients, cross-coupling terms, and nonlinear source functions, which collectively describe the complex interplay between heat and mass transfer in reactive media. A robust numerical framework is developed based on an Alternating Direction Implicit (ADI) scheme of the Peaceman-Rachford type, allowing for efficient and stable time integration of the nonlinear system. The implementation ensures high computational efficiency and improved numerical stability, particularly for stiff reaction terms and strongly coupled diffusion dynamics. Comprehensive numerical experiments are conducted to validate the accuracy and stability of the proposed scheme. Error convergence analysis confirms the expected second-order spatial and first-order temporal accuracy, while the time-step sensitivity and stability tests demonstrate the robustness of the algorithm under various discretization parameters. Boundary layer behavior is also examined to capture localized gradients and nonlinear interaction patterns. The obtained results reveal that the proposed computational framework accurately reproduces the characteristic thermo-chemical diffusion phenomena and maintains stability even under extreme parameter regimes. The study provides a reliable numerical tool for analyzing multi-scale diffusion-reaction systems relevant to chemical engineering, materials processing, and thermal energy storage applications.

本文研究了一个以耦合抛物方程为特征的非线性热化学扩散反应系统，该系统控制温度和浓度依赖过程的时空演化。该模型包含非线性扩散系数、交叉耦合项和非线性源函数，它们共同描述了反应介质中传热传质之间的复杂相互作用。基于Peaceman-Rachford型交替方向隐式（ADI）格式，建立了鲁棒的数值框架，实现了非线性系统高效稳定的时间积分。该实现保证了较高的计算效率和改进的数值稳定性，特别是对于刚性反应项和强耦合扩散动力学。通过全面的数值实验验证了该方案的准确性和稳定性。误差收敛分析证实了该算法具有预期的二阶空间精度和一阶时间精度，时间步长灵敏度和稳定性测试证明了该算法在各种离散化参数下的鲁棒性。边界层行为也被检查捕捉局部梯度和非线性相互作用模式。结果表明，所提出的计算框架准确地再现了典型的热化学扩散现象，即使在极端参数条件下也能保持稳定性。该研究为分析化学工程、材料加工和热能储存等应用中的多尺度扩散反应系统提供了可靠的数值工具。

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引用次数: 0

A multiscale physics-informed framework for robust no-reference underwater image quality evaluation 鲁棒无参考水下图像质量评价的多尺度物理信息框架

IF 6.8 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

alexandria engineering journal

Pub Date : 2026-01-01 DOI: 10.1016/j.aej.2025.12.048

Mobeen Ur Rehman , Zeeshan Abbas , Muhammad Fahad Nasir , Irfan Hussain

The quality of underwater imagery is critical to the success of marine exploration, ecological monitoring, and autonomous underwater operations, where visual data often serve as the primary sensory modality. However, underwater image acquisition is fundamentally constrained by the physics of light propagation in water leading to color distortions, turbidity, scattering-induced haze, and loss of structural detail. Despite significant advancements in underwater image enhancement (UIE), the field of underwater image quality assessment (UIQA) remains underexplored, particularly in no-reference (NR) settings where pristine images are unavailable. Existing NR UIQA methods are either overly reliant on handcrafted features or exhibit limited generalizability across diverse underwater domains. In this paper, we introduce PUIQA, a physically grounded, multi-domain multi-scale descriptor framework for robust no-reference underwater image quality prediction. Our approach systematically fuses features derived from physical imaging priors (e.g., non-uniform illumination, veiling light gradients), perceptual features (e.g., local entropy, edge energy, contrast), and frequency-domain signatures (e.g., DCT-based structural degradation). To further model scale-variant degradations, we extend these descriptors across Gaussian and resolution-based multiscale domains. The extracted features are combined into a high-dimensional representation and regressed via a support vector regression (SVR) pipeline optimized for perceptual fidelity. To validate the generalizability and robustness of PUIQA, we conduct extensive experiments on two diverse and publicly available underwater image datasets: UID2021, and UIEB. PUIQA achieves SROCC of 0.726/0.768 and PLCC of 0.754/0.773 on UWIQA and UID2021, outperforming existing NR-IQA metrics, demonstrating strong cross-dataset transferability and effectiveness in handling both real and synthetic underwater distortions. This work presents a substantial step toward establishing a principled, generalizable foundation for blind UIQA in practical underwater imaging systems. The full implementation of PUIQA is publicly available at: https://github.com/Rehman1995/PUIQA.

水下图像的质量对海洋勘探、生态监测和自主水下作业的成功至关重要，其中视觉数据通常是主要的感官方式。然而，水下图像采集从根本上受到光在水中传播的物理特性的限制，导致颜色失真、浑浊、散射引起的雾霾和结构细节的丢失。尽管水下图像增强（UIE）取得了重大进展，但水下图像质量评估（uqa）领域仍未得到充分探索，特别是在无参考（NR）环境中，原始图像不可用。现有的NR UIQA方法要么过度依赖于手工制作的特征，要么在不同的水下领域表现出有限的通用性。本文介绍了一种基于物理基础的多域多尺度描述子框架PUIQA，用于鲁棒无参考水下图像质量预测。我们的方法系统地融合了来自物理成像先验（例如，非均匀照明，遮蔽光梯度），感知特征（例如，局部熵，边缘能量，对比度）和频域特征（例如，基于dct的结构退化）的特征。为了进一步模拟尺度变量的退化，我们将这些描述符扩展到高斯和基于分辨率的多尺度域。将提取的特征组合成高维表示，并通过针对感知保真度优化的支持向量回归（SVR）管道进行回归。为了验证PUIQA的通用性和鲁棒性，我们在两个不同的公开可用的水下图像数据集：UID2021和UIEB上进行了广泛的实验。PUIQA在UWIQA和UID2021上实现了0.726/0.768的SROCC和0.754/0.773的PLCC，优于现有的NR-IQA指标，在处理真实和合成水下失真方面表现出强大的跨数据集可转移性和有效性。这项工作为在实际水下成像系统中建立盲UIQA的原则、可推广的基础迈出了实质性的一步。PUIQA的完整实现可以在：https://github.com/Rehman1995/PUIQA上公开获得。

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引用次数: 0

A new modified homotopy perturbation method for strongly nonlinear oscillators 强非线性振子的一种新的修正同伦摄动方法

IF 6.8 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

alexandria engineering journal

Pub Date : 2025-12-26 DOI: 10.1016/j.aej.2025.12.044

Nazmul Sharif, M.S. Alam, Helal Uddin Molla

A newly modified version of the homotopy perturbation method (MHPM) is developed to obtain accurate periodic solutions for strongly nonlinear oscillators, including the fractal Duffing oscillator with arbitrary initial conditions and nonlinear oscillators in microelectromechanical systems. This modification builds on He’s homotopy perturbation method by presenting time scaling and an improved treatment of the power series expansion for the frequency. The key feature of this method is the systematic truncation of the infinite series at each approximation order before applying it to the next-order differential equation, ensuring improved convergence and accuracy. The proposed method is validated for a wide range of initial amplitudes, demonstrating an excellent agreement between the approximate and exact solutions. Notably, even the first-order approximate frequency provides remarkable precision for both small and large oscillation amplitudes. The frequency–amplitude relationship is also derived using He’s frequency formulation. Comparisons with other analytical and numerical methods confirm that MHPM is not only computationally efficient but also provides highly accurate and rapidly converging solutions, making it a powerful tool for analyzing complex nonlinear oscillatory systems. These results suggest that the MHPM can be effectively applied to the study and design of MEMS devices and other complex engineering systems involving nonlinear vibrations.

提出了一种改进的同伦摄动法（MHPM），用于求解具有任意初始条件的分形Duffing振子和微机电系统中的非线性振子等强非线性振子的精确周期解。这种改进建立在He的同伦摄动方法的基础上，提出了时间尺度和频率幂级数展开的改进处理。该方法的主要特点是在应用于下一阶微分方程之前，在每个近似阶上系统地截断无穷级数，从而保证了提高的收敛性和准确性。该方法在较宽的初始振幅范围内得到了验证，证明了近似解和精确解之间的良好一致性。值得注意的是，即使是一阶近似频率也可以为小振幅和大振幅的振荡提供显著的精度。利用何氏频率公式也推导出了频率与振幅的关系。与其他解析和数值方法的比较表明，MHPM不仅计算效率高，而且求解精度高，收敛速度快，是分析复杂非线性振荡系统的有力工具。这些结果表明，MHPM可以有效地应用于MEMS器件和其他涉及非线性振动的复杂工程系统的研究和设计。

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引用次数: 0

Performance enhancement and hydraulic optimization of water treatment processes: A case study of Kafr El-Sheikh Water Purification Plant, Egypt 水处理工艺的性能增强和水力优化：以埃及Kafr El-Sheikh净水厂为例

IF 6.8 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

alexandria engineering journal

Pub Date : 2025-12-26 DOI: 10.1016/j.aej.2025.12.034

Shimaa.M. Meleha, Mohamed Tarek Sorour, Medhat Moustafa, Samia A. Aly

Access to clean drinking water remains a significant challenge in developing countries due to increasing demand. This study evaluates the efficiency of the Kafr El-Sheikh Water Purification Plant (KWPP). KWPP is a conventional plant without any advanced units. Hydraulic analysis revealed that the existing sedimentation tanks exceeded the allowable surface overflow rate (108 m³/m²/day) and weir loading rate (864 m³/m²/day), necessitating redesign in accordance with the Egyptian Code of Design Principles. The focus is on redesigning the plant to meet current and future water demands efficiently, with a phased expansion plan extending to 2062. Using the WatPro 4.0 water treatment process simulator, the study explores optimized chlorination strategies and advanced treatment technologies to minimize the formation of Disinfection byproducts (DBPs). The simulation examines adjustments to chlorine dosing based on influent water quality, integrating granular activated carbon (GAC) adsorption to remove organic matter, and applying ultrafiltration (UF) membrane technology to stabilize chlorine levels. The optimized approach successfully reduced the required initial chlorine dose to 2 mg/L and consistently maintained a chlorine residual of 2 mg/L, while maintaining THMs and HAA5s concentrations below 10 µg/L throughout the year. The findings highlight the importance of pre-treatment techniques in reducing DBP precursors before post-chlorination, ensuring safer drinking water.

由于需求不断增加，在发展中国家获得清洁饮用水仍然是一项重大挑战。本研究评估了Kafr El-Sheikh净水厂（KWPP）的效率。KWPP是一个没有先进装置的常规电厂。水力分析表明，现有的沉淀池超过了允许的地表溢流率（108 m³/m²/天）和堰加载率（864 m³/m²/天），需要根据埃及设计原则规范重新设计。重点是重新设计工厂，以有效地满足当前和未来的用水需求，分阶段扩建计划将持续到2062年。利用WatPro 4.0水处理过程模拟器，该研究探索了优化的氯化策略和先进的处理技术，以最大限度地减少消毒副产物（DBPs）的形成。模拟研究了根据进水水质调整氯剂量，整合颗粒活性炭（GAC）吸附去除有机物，并应用超滤（UF）膜技术稳定氯水平。优化后的方法成功地将所需的初始氯剂量降低到2 mg/L，并始终保持2 mg/L的氯残留量，同时将THMs和HAA5s浓度全年保持在10 µg/L以下。研究结果强调了预处理技术在氯化后减少DBP前体的重要性，从而确保更安全的饮用水。

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引用次数: 0

Impact of numerical simulation and fractionality of the 3D fractional WBBM model using GERF and MGERF methods 基于GERF和MGERF方法的三维分数WBBM模型数值模拟和分数性影响

IF 6.8 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

alexandria engineering journal

Pub Date : 2025-12-26 DOI: 10.1016/j.aej.2025.12.043

Abdulla Al Mamun , Samsun Nahar Ananna , Chunhui Lu , Zhenfeng Zhang , Mithun Biswas , Shaik Baized Al Limon , Md. Asaduzzaman

This study recovers several novel accurate solutions to the 3D fractional Wazwaz-Benjamin-Bona-Mahony (WBBM) equation within the framework of numerous nonlinear physical phenomena originating from water wave mechanics. This is accomplished by transforming the WBBM equation into an ordinary differential equation (ODE). The ODE then uses two effective methods based on the conformable derivative: the Generalized Exponential Rational Function (GERF) and Modified Generalized Exponential Rational Function (MGERF) Methods. Periodic solutions, w-shaped solitons, single and multiple solitons, dark-bright, and Jacobi elliptic doubly periodic type solutions are thus explored. Applications of the GERF and MGERF approach in many scientific and technical domains assist in expanding our understanding of nonlinear systems, establishing mathematical methodologies, and supporting research solutions. The Modified Variational Iteration (MVI) method, a numerical technique, is employed to derive the approximate solutions to the WBBM problem. An analysis is conducted between this inquiry's findings and those previously acquired through different approaches. All produced wave solutions are determined to be novel in the sense of applied technique, fractionality, and unconstrained parameters. The consequences of unconstrained parameters and fractionality on the resulting solutions are explained physically and shown in a figure. When fractionality and the number of unbound parameters rise, the wave portents shift. Finally, this article dynamically demonstrates that appropriate transformation and relevant GERF and MGERF techniques are more helpful in studying the dynamics of water waves and might be used in future research to clarify other physical phenomena.

本文在水波力学的非线性物理现象框架下，对三维分数阶wazwazz - benjamin - bona - mahony （WBBM）方程恢复了几种新的精确解。这是通过将WBBM方程转换为常微分方程（ODE）来实现的。在此基础上，采用了两种有效的基于可调导数的方法：广义指数有理函数法（GERF）和修正广义指数有理函数法（MGERF）。研究了周期解、w型孤子、单孤子和多孤子、暗亮解和Jacobi椭圆双周期解。GERF和MGERF方法在许多科学和技术领域的应用有助于扩展我们对非线性系统的理解，建立数学方法，并支持研究解决方案。采用改进变分迭代（MVI）方法，推导了WBBM问题的近似解。对这次调查的结果和以前通过不同方法获得的结果进行了分析。所有产生的波解在应用技术、分数性和无约束参数方面都是新颖的。无约束参数和分数对结果解的影响在物理上得到解释，并在图中显示。当分数度和非定界参数的数量增加时，波的前兆发生移位。最后，本文动态地论证了适当的变换以及相关的GERF和MGERF技术更有助于研究水波的动力学，并可能在未来的研究中用于阐明其他物理现象。

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引用次数: 0

SR-PAN-EffNet: A collaborative optimization approach for low-quality image classification and restoration SR-PAN-EffNet：一种低质量图像分类与恢复的协同优化方法

IF 6.8 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

alexandria engineering journal

Pub Date : 2025-12-24 DOI: 10.1016/j.aej.2025.12.029

Jun Li , Dong Liu

Low-quality images, due to degradation issues such as noise and compression artifacts, often lead to feature extraction distortion in classification models, thereby reducing classification accuracy. This issue is particularly prominent in practical computer vision applications. To address this, this paper proposes the SR-PAN-EffNet model, which integrates a semantic-guided SRGAN restoration module with a noise-aware PANet attention module, and employs end-to-end joint training to achieve the collaborative optimization of “restoration serving classification”. Experimental results show that the model achieves Top-1 accuracy of 68.5% and 57.6% on the ImageNet-1K and CIFAR-100 low-quality datasets, respectively, improving by 4.7–6.4 percentage points over NFNet-F4, with PSNR and SSIM also leading. Ablation experiments reveal that removing core modules results in a 2.9–6.8 percentage point decrease in accuracy. Future work will focus on improving the model’s real-time performance and robustness through lightweight design, extreme degradation adaptive optimization, and category-adaptive guidance, aiming to promote its application in scenarios such as surveillance and medical imaging.

低质量图像由于噪声和压缩伪影等退化问题，往往会导致分类模型的特征提取失真，从而降低分类精度。这个问题在实际的计算机视觉应用中尤为突出。针对这一问题，本文提出SR-PAN-EffNet模型，该模型将语义引导的SRGAN恢复模块与噪声感知的PANet关注模块集成在一起，采用端到端联合训练实现“恢复服务分类”的协同优化。实验结果表明，该模型在ImageNet-1K和CIFAR-100低质量数据集上分别达到了68.5%和57.6%的Top-1准确率，比NFNet-F4提高了4.7-6.4个百分点，其中PSNR和SSIM也处于领先地位。烧蚀实验表明，去除核心模块会导致精度降低2.9-6.8个百分点。未来的工作将重点通过轻量化设计、极端退化自适应优化和类别自适应制导来提高模型的实时性和鲁棒性，以促进其在监控和医学成像等场景中的应用。

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引用次数: 0