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  1. 1

    Anomalous Diffusion Models Involving Regularized General Fractional Derivatives with Sonin Kernels by Maryam Alkandari, Dimitri Loutchko, Yuri Luchko

    Published 2025-06-01
    “…Next, we derive a fractional diffusion equation involving regularized general fractional derivatives with Sonin kernels from the continuous time random walk model in the asymptotical sense of long times and large distances. …”
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  2. 2

    Toward Artificial General Intelligence in Hydrogeological Modeling With an Integrated Latent Diffusion Framework by Chuanjun Zhan, Zhenxue Dai, Jiu Jimmy Jiao, Mohamad Reza Soltanian, Huichao Yin, Kenneth C. Carroll

    Published 2025-02-01
    “…Its generalization across diverse objectives underscores its potential as a cornerstone for advancing Artificial General Intelligence in hydrogeological modeling.…”
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  3. 3

    Dynamics of a Diffusive Predator-Prey Model with General Nonlinear Functional Response by Wensheng Yang

    Published 2014-01-01
    “…We study a diffusive predator-prey model with nonconstant death rate and general nonlinear functional response. …”
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  4. 4

    The Diffusion-Driven Instability for a General Time-Space Discrete Host-Parasitoid Model by Xuetian Zhang, Chunrui Zhang

    Published 2023-01-01
    “…In this paper, we consider a general time-space discrete host-parasitoid model with the periodic boundary conditions. …”
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    BCDDM: Branch Correction Denoising Diffusion Model for Black Hole Image Generation by Ao Liu, Zelin Zhang, Songbai Chen, Cuihong Wen, Jieci Wang

    Published 2025-01-01
    “…This paper introduces the Branch Correction Denoising Diffusion Model (BCDDM), a deep learning framework that synthesizes black hole images directly from physical parameters. …”
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    An advection–diffusion equation with a generalized advection term: Well-posedness analysis and examples by Tetyana Malysheva, Luther W. White

    Published 2024-12-01
    “…We consider a Cauchy–Dirichlet problem for a semilinear advection–diffusion equation with a generalized advection term. …”
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  8. 8

    Traveling waves in a delayed reaction-diffusion SVIR epidemic model with generalized incidence function and imperfect vaccination by Rassim Darazirar

    Published 2025-07-01
    “…This paper is concerned with traveling wave solutions for a delayed reaction-diffusion SVIR epidemic model that includes both general incidence function and imperfect vaccination. …”
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  9. 9

    Information-Theoretic Security of RIS-Aided MISO System Under <i>N</i>-Wave with Diffuse Power Fading Model by José David Vega-Sánchez, Ana Zambrano, Ricardo Mena, José Oscullo

    Published 2024-11-01
    “…This general framework allows us to accurately approximate key practical factors in RIS’s channel modeling, such as generalized fading conditions, spatial correlation, discrete phase shift, beamforming, and the presence of direct and indirect links. …”
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    Revisiting the Group Classification of the General Nonlinear Heat Equation <i>u<sub>t</sub></i> = (<i>K</i>(<i>u</i>)<i>u<sub>x</sub></i>)<i><sub>x</sub></i> by Winter Sinkala

    Published 2025-03-01
    “…Group classification is a powerful tool for identifying and selecting the free elements—functions or parameters—in partial differential equations (PDEs) that maximize the symmetry properties of the model. In this paper, we revisit the group classification of the general nonlinear heat (or diffusion) equation <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>u</mi><mi>t</mi></msub><mo>=</mo><msub><mfenced separators="" open="(" close=")"><mi>K</mi><mrow><mo>(</mo><mi>u</mi><mo>)</mo></mrow><mspace width="0.166667em"></mspace><msub><mi>u</mi><mi>x</mi></msub></mfenced><mi>x</mi></msub><mo>,</mo></mrow></semantics></math></inline-formula> where <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>K</mi><mo>(</mo><mi>u</mi><mo>)</mo></mrow></semantics></math></inline-formula> is a non-constant function of the dependent variable. …”
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    On the solutions of generalized Cauchy differential equations and diffusion equations with k-Hilfer-Prabhakar derivative by Ved Prakash Dubey, Jagdev Singh, Sarvesh Dubey, Dumitru Baleanu, Devendra Kumar

    Published 2025-03-01
    “…Our new generalized solutions of k-HPFD type Cauchy problems and diffusion models may be used to explore fluid mechanics, ocean engineering, and wave phenomena and so on. …”
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    The general intelligence of GPT–4, its knowledge diffusive and societal influences, and its governance by Mohammad Mahdi Jahani Yekta

    Published 2024-06-01
    “…This paper explores this AGI, its knowledge diffusive and societal influences, and its governance. …”
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  16. 16

    DIFshilling: A Diffusion Model for Shilling Attacks by Weizhi Chen, Xingkong Ma, Bo Liu

    Published 2025-03-01
    “…Many current approaches either fail to capture the natural distribution of real user data or are highly tailored to specific RS algorithms, limiting their general applicability and effectiveness. To overcome these limitations, we propose DIFshilling, a novel diffusion-based model for shilling attacks. …”
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    A survey of emerging applications of diffusion probabilistic models in MRI by Yuheng Fan, Hanxi Liao, Shiqi Huang, Yimin Luo, Huazhu Fu, Haikun Qi

    Published 2024-06-01
    “…Diffusion probabilistic models (DPMs) which employ explicit likelihood characterization and a gradual sampling process to synthesize data, have gained increasing research interest. …”
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  19. 19

    Automatic Generation of Standard Nursing Unit Floor Plan in General Hospital Based on Stable Diffusion by Zhuo Han, Yongquan Chen

    Published 2024-08-01
    “…It includes dataset processing, model training, model testing and generation. It enables the generation of well-organized, clear, and readable functional block floor plans with strong generalization capabilities by inputting the boundaries of the nursing unit’s floor plan. …”
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  20. 20

    Stability and Bifurcation Analysis for a Class of Generalized Reaction-Diffusion Neural Networks with Time Delay by Tianshi Lv, Qintao Gan, Qikai Zhu

    Published 2016-01-01
    “…Considering the fact that results for static neural networks are much more scare than results for local field neural networks and our purpose letting the problem researched be more general in many aspects, in this paper, a generalized neural networks model which includes reaction-diffusion local field neural networks and reaction-diffusion static neural networks is built and the stability and bifurcation problems for it are investigated under Neumann boundary conditions. …”
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