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Bayesian variable selection with graphical structure learning: Applications in integrative genomics.
Published 2018-01-01“…We propose a novel multi-scale Bayesian approach that combines integrative graphical structure learning from multiple sources of data with a variable selection framework-to determine the key genomic drivers of cancer progression. …”
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Characterizing Wake Behavior of Adaptive Aerodynamic Structures Using Reduced-Order Models
Published 2025-07-01“…Alongside that, the Materials and Methods section shows different modeling environments and their possible integration into FLORIS. …”
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Adaptive Integrated Navigation Algorithm Based on Interactive Filter
Published 2025-07-01“…To address the diverse requirements of accuracy and robustness in integrated navigation for unmanned aerial vehicles, an interactive robust filter algorithm that integrates the interactive multiple model concept and leverages the complementary applicability of the strong tracking filter and the smooth variable structure filter is proposed. …”
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Structural Equation Modeling and Genome-Wide Selection for Multiple Traits to Enhance Arabica Coffee Breeding Programs
Published 2025-07-01“…Recognizing the interrelationship among variables becomes critical in genetic breeding programs, where the goal is often to optimize selection for multiple traits. …”
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Development of a river dissolved oxygen prediction model integrating spatial effects and multiple deep learning algorithm
Published 2025-12-01“…In this model, the DO series is first decomposed into multiple sub-series via VMD, and each sub-series is individually trained and predicted using the FECAM-WTConv-Transformer structure; the final output is obtained by aggregating the predictions. …”
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Integrating multiple “omics” analysis for plant metabolites and their functions
Published 2013-05-01“…Glucosinolate (GSL) metabolic pathways provide a useful model system for the research of genome structure of the quantitative characters, while the genome-wide association studies (GWAS) fast become the preferred method for analyzing complex quantitative traits. …”
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Multi-Information-Assisted Joint Detection and Tracking of Ground Moving Target for Airborne Radar
Published 2025-06-01“…Additionally, we innovatively propose an improved Variable Structure Interacting Multiple Model (VS-IMM) filter that leverages road network constraints and detector outputs for tracking, featuring an enhanced model probability calculation to significantly reduce computational time. …”
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Transformer-Based Models for Probabilistic Time Series Forecasting with Explanatory Variables
Published 2025-02-01“…This study assesses how incorporating these variables enhances forecast accuracy, addressing a research gap in the comprehensive evaluation of explanatory variables within multiple Transformer-based models. …”
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“Quo Vadis urban areas?”: (Re)thinking the future of urban areas using interpretive structural modeling
Published 2025-06-01“…The main purpose of this study is to propose a process-oriented methodology that integrates cognitive mapping, interpretive structural modeling (ISM) and a matrice d’impacts croisés multiplication appliquée à un classement (MICMAC) analysis to evaluate and prioritize key determinants of urban development. …”
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Depth-specific soil moisture estimation in vegetated corn fields using a canopy-informed model: A fusion of RGB-thermal drone data and machine learning
Published 2025-02-01“…Sophisticated regression models such as Gradient Boosting Machines (GBM), Least Absolute Shrinkage and Selection Operator (Lasso), and Support Vector Machines (SVM) were employed to analyze the effects of spectral indices, land surface temperature (LST), and structural canopy variables on soil moisture estimation accuracy. …”
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An integrated mutation-based immunoinformatic approach incorporating variability in epitopes: a study based on HIV subtype C
Published 2025-05-01“…The vaccine’s structure was modeled and examined to validate its structural quality, and a high population coverage was also found. …”
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MR-EILLS: an invariance-based Mendelian randomization method integrating multiple heterogeneous GWAS summary datasets
Published 2025-08-01“…The MR-EILLS model works in both univariate and multivariate scenarios and allows for invalid instrumental variables that violate the exchangeability and exclusion restriction assumptions. …”
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Model-based design of a mechanically intelligent shape-morphing structure
Published 2024-10-01“…In conclusion, utilizing multiple smart materials within the model-based design framework offers an efficient approach for developing mechanically intelligent structure capable of complex deformations and variable stiffness, thereby providing support for underwater or offshore engineering applications.…”
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Thermal analysis for obtaining coal ignition characteristics in boilers——Part 2: Intrinsic reaction kinetics
Published 2025-04-01“…Although the study of thermal analysis reaction kinetics has been developed for decades, three main issues persist: ① Inconsistency between nonisothermal and isothermal kinetic parameters; ② Inconsistency between fixed kinetic parameters and mean variable kinetic parameters; ③ Lack of a universal kinetic model without uncertain parameters, such as the commonly used nth-order kinetic model, random pore model, and autocatalytic model, each containing uncertain parameters like reaction order n, structural parameter ψ, and reaction index a and c. …”
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Spatial and Spectral Structure-Aware Mamba Network for Hyperspectral Image Classification
Published 2025-07-01“…Moreover, the lack of neighborhood spectral information utilization fails to mitigate the impact of spatial variability on classification performance. To address these limitations, we propose a novel model, Dual-Aware Discriminative Fusion Mamba (DADFMamba), which is simultaneously aware of spatial-spectral structures and adaptively integrates discriminative features. …”
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