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101
Using hierarchical drift diffusion models to elucidate computational mechanisms of reduced reward sensitivity in adolescent major depressive disorder
Published 2024-12-01“…Bayesian hierarchical drift diffusion modeling (HDDM) was employed to determine changes in reward sensitivity and computational process during decision-making. …”
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102
MCATD: Multi-Scale Contextual Attention Transformer Diffusion for Unsupervised Low-Light Image Enhancement
Published 2025-01-01“…While recent diffusion-based methods have shown promise, they often struggle with generalization and require paired training data. …”
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103
Stability of the positive steady-state solutions of systems of nonlinear Volterra difference equations of population models with diffusion and infinite delay
Published 2000-01-01“…An open problem given by Kocic and Ladas in 1993 is generalized and considered. A sufficient condition is obtained for each solution to tend to the positive steady-state solution of the systems of nonlinear Volterra difference equations of population models with diffusion and infinite delays by using the method of lower and upper solutions and monotone iterative techniques.…”
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104
Everyone is Different, but does it Matter? The Role of Heterogeneity in Empirically Grounded Agent-Based Models of Alternative Fuel Vehicles Diffusion
Published 2025-01-01“…There is a large literature on agent-based models (ABMs) to study the diffusion of alternative fuel vehicles (AFVs). …”
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105
Apparent Permeability Prediction of Coal Matrix with Generalized Lattice Boltzmann Model considering Non-Darcy Effect
Published 2020-01-01“…The impact of effective pore radius and gas surface diffusion on permeability in the gas adsorption-desorption process is also considered in the model. …”
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106
A note on modelling with measures: Two-features balance equations
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107
A Comparative Analysis of Option Pricing Models Under Jump Dynamics, Skewness, and Non-Normal Kurtosis
Published 2025-12-01“…This study evaluates the pricing accuracy of four option pricing models—the Black-Scholes model, the Merton jump-diffusion model, the Kou double-exponential jump model, and the Gram-Charlier expansion model—with a focus on their performance under varying degrees of skewness and kurtosis. …”
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108
Assessing the suitability of the Langevin equation for analyzing measured data through downsampling
Published 2025-01-01“…Our approach effectively distinguishes between diffusive or Brownian-type trajectories and non-diffusive trajectories such as those with jumps. …”
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109
Inflammatory and Nutritional Biomarker in Different Subtypes of Early Stage Diffuse Large B-Cell Lymphoma: Towards a Diagnostic Model
Published 2025-07-01“…Hasan Sadikin General Hospital, Jl. Pasteur No. 38, Pasteur, Bandung, West Java, 40161, Indonesia, Email delita.prihatni@unpad.ac.idBackground: Diffuse Large B-Cell Lymphoma (DLBCL) is a heterogeneous malignancy with distinct Germinal Center B-Cell Like (GCB) and non-GCB subtypes. …”
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110
Pretraining-improved Spatiotemporal graph network for the generalization performance enhancement of traffic forecasting
Published 2025-07-01“…A key challenge is capturing the long-term spatiotemporal dependencies of traffic data while improving the model’s generalization ability. To address these issues, various sophisticated modules are embedded into different models. …”
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111
Three-Dimensional Mathematical Modeling and Simulation of the Impurity Diffusion Process Under the Given Statistics of Systems of Internal Point Mass Sources
Published 2025-03-01“…A three-dimensional mathematical model and simulation of the impurity diffusion process are developed under the given statistical characteristics of the system of internal stochastically disposed point sources of mass. …”
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112
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113
Machine Learning Prediction of CO<sub>2</sub> Diffusion in Brine: Model Development and Salinity Influence Under Reservoir Conditions
Published 2025-07-01“…The RF model demonstrated the best performance, with an R<sup>2</sup> of 0.95, an RMSE of 0.03, and an MAE of 0.11 on the test set, indicating high predictive accuracy and generalization capability. …”
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114
AnomalyControl: Few-Shot Anomaly Generation by ControlNet Inpainting
Published 2024-01-01“…Despite the fast-increasing quality of such models, generating realistic defective images remains a challenging task due to the same data scarcity problem, which makes it difficult to steer large general-purpose models to produce realistic defects for specific industrial products. …”
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115
T_SRNET: A multimodal model based on convolutional neural network for emotional speech enhancement
Published 2025-06-01“…However, the lack of high-quality speech annotation datasets makes it difficult for many models to provide sufficient data for training, resulting in poor model generalization performance. …”
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116
General conclusions
Published 2018-12-01“…Chapter 2 provided a general overview of the Dutch housing market and the risks involved in home-ownership. …”
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117
Diffusion and Risks of House Prices in the Netherlands
Published 2018-02-01“…Using the hedonic and repeated sales indexes, the empirical analysis suggests the proposed modified scheme is highly efficient and may eliminate up to 70% of the residual risks. In general, the dissertation adopts innovative empirical methodological approach that combines standard statistical analyses and more recent and complex econometric modelling techniques in the study of the diffusion and risks of house prices in the Netherlands. …”
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118
On the Vertical Structure of Oceanic Mesoscale Tracer Diffusivities
Published 2022-06-01“…This study investigates the vertical structure of the isopycnal tracer diffusivity diagnosed by a multiple‐tracer inversion method in an idealized basin circulation model. …”
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119
Inference of a Susceptible–Infectious stochastic model
Published 2024-09-01“…We considered a time-inhomogeneous diffusion process able to describe the dynamics of infected people in a susceptible-infectious (SI) epidemic model in which the transmission intensity function was time-dependent. …”
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120
Applying clustered artificial neural networks to enhance contaminant diffusion prediction in geotechnical engineering
Published 2024-11-01“…While these conventional models struggled to capture the full range of diffusion dynamics, particularly under extreme conditions, CLANN consistently provided predictions that closely aligned with the actual FEA data across all scenarios. …”
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