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  1. 701
  2. 702

    AgriFusionNet: A Lightweight Deep Learning Model for Multisource Plant Disease Diagnosis by Saleh Albahli

    Published 2025-07-01
    “…This paper proposes AgriFusionNet, a lightweight and efficient deep learning model designed to diagnose plant diseases using multimodal data sources. …”
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  3. 703
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  5. 705

    Generalized Taylor Series Method for Solving Nonlinear Fractional Differential Equations with Modified Riemann-Liouville Derivative by Süleyman Öğrekçi

    Published 2015-01-01
    “…A new technique for calculating the generalized Taylor series coefficients (also known as “generalized differential transforms,” GDTs) of nonlinear functions and a new approach of the generalized Taylor series method (GTSM) are presented. …”
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  6. 706

    Generalized Stampacchia Vector Variational-Like Inequalities and Vector Optimization Problems Involving Set-Valued Maps by Yanfei Chai, Sanyang Liu, Guotao Wang

    Published 2014-01-01
    “…Finally, an existence result of generalized weakly efficient solutions for vector optimization problem involving a subdifferentiable and preinvex set-valued mapping is established by exploiting the existence of a solution for the weak formulation of the generalized Stampacchia vector variational-like inequality via a Fan-KKM lemma.…”
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  7. 707
  8. 708

    A General Framework for Sorting Large Data Sets Using Independent Subarrays of Approximately Equal Length by Shahriar Shirvani Moghaddam, Kiaksar Shirvani Moghaddam

    Published 2022-01-01
    “…Designing an efficient data sorting algorithm that requires less time and space complexity is essential for computer science, different engineering disciplines, data mining systems, wireless networks, and the Internet of things. …”
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  9. 709

    Introducing µGUIDE for quantitative imaging via generalized uncertainty-driven inference using deep learning by Maëliss Jallais, Marco Palombo

    Published 2024-11-01
    “…This work proposes µGUIDE: a general Bayesian framework to estimate posterior distributions of tissue microstructure parameters from any given biophysical model or signal representation, with exemplar demonstration in diffusion-weighted magnetic resonance imaging. …”
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  10. 710
  11. 711

    Improved Probability-Weighted Moments and Two-Stage Order Statistics Methods of Generalized Extreme Value Distribution by Autcha Araveeporn

    Published 2025-07-01
    “…This study evaluates six parameter estimation methods for the generalized extreme value (GEV) distribution: maximum likelihood estimation (MLE), two probability-weighted moments (PWM-UE and PWM-PP), and three robust two-stage order statistics estimators (TSOS-ME, TSOS-LMS, and TSOS-LTS). …”
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  12. 712

    Effect of an Integrated Cognitive-Behavioral, Acceptance, and Commitment Intervention on Generalized Anxiety Disorder among University Students by Alireza Zolfaghari, Hadi Bahrami, Kamran Ganji

    Published 2018-01-01
    “…Therefore, this intervention was concluded to be as efficient as other interventions, such as the cognitive-behavioral, acceptance, and commitment programs, in decreasing the symptoms of generalized anxiety disorder.…”
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  13. 713

    Induction motor tacholess fault detection in transient speeds using adaptive generalized Vold Kalman filter by Mohammad F. Yakhni, Sebastien Cauet, Anas Sakout, Hassan Assoum, Erik Etien, Laurent Rambault, Mohamad Ali, Mohamed El-Gohary

    Published 2024-12-01
    “…Techniques such as the Hilbert transform, adaptive observer, generalized demodulation transform (GDT), and Vold-Kalman filtering (VKF) are combined. …”
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  14. 714

    Exploration of the soliton solutions of the (n+1) dimensional generalized Kadomstev Petviashvili equation using an innovative approach by Bahadır Kopçasız, Fatma Nur Kaya Sağlam, Hasan Bulut, Taha Radwan

    Published 2025-04-01
    “…Abstract In this paper, we deal with the (n+1)-dimensional generalized Kadomtsev-Petviashvili equation (dgKPE). …”
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  15. 715

    An Automatic Generalization Method of a Block-Based Digital Depth Model Based on Surface Curvature Features by Dong Wang, Jian Dong, Lulu Tang, Mengkai Ma, Tian Xie

    Published 2024-12-01
    “…Addressing the limitations of current multi-scale seabed terrain construction methods for a Digital Depth Model (DDM) and the low computational efficiency of automatic generalization algorithms, this paper draws on the concept of curvature simplification from 3D point cloud data processing and proposes a block-based DDM automatic generalization method that leverages surface curvature features. …”
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  16. 716

    FuXi-DA: a generalized deep learning data assimilation framework for assimilating satellite observations by Xiaoze Xu, Xiuyu Sun, Wei Han, Xiaohui Zhong, Lei Chen, Zhiqiu Gao, Hao Li

    Published 2025-04-01
    “…In this study, we introduce FuXi-DA, a generalized DL-based DA framework for assimilating satellite observations. …”
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  17. 717

    The knowledge of Polish primary care physicians about bariatric surgery by Piotr Major, Tomasz Stefura, Monika Jezierska-Kazberuk, Michał Wysocki, Michał Pędziwiatr, Magdalena Pisarska, Piotr Małczak, Artur Kacprzyk, Andrzej Budzyński

    Published 2016-09-01
    “…Introduction: The general practitioner (GP) can play a key role in this multi-disciplinary team, coordinating care provided by dietitians and surgeons, maximizing the potential benefits of surgery. …”
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    General practitioners' consultation counts and associated factors in Swiss primary care - A retrospective observational study. by Yael Rachamin, Rahel Meier, Thomas Grischott, Thomas Rosemann, Stefan Markun

    Published 2019-01-01
    “…<h4>Background</h4>Research on individual general practitioner (GP) workload, e.g. in terms of consultation counts, is scarce. …”
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  20. 720

    Underwater Time Delay Estimation Based on Meta-DnCNN with Frequency-Sliding Generalized Cross-Correlation by Meiqi Ji, Xuerong Cui, Juan Li, Lei Li, Bin Jiang

    Published 2025-05-01
    “…Firstly, a multi-sub-window reconstruction is performed on the frequency-sliding generalized colorboxpinkcross-correlation (FS-GCC) matrix between signals to capture the time delay characteristics from different frequency bands and conduct the enhancement and extraction of features. …”
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