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Systematic hierarchical analysis of requirements for critical systems
Safety and security are key considerations in the design of critical systems. Requirements analysis methods rely on the expertise and experience of...
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HiM: hierarchical multimodal network for document layout analysis
In document layout analysis, both computer vision based and natural language processing based methods are employed individually or integrated to...
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Hierarchical classification-based pan-cancer methylation analysis to classify primary cancer
Hierarchical classification offers a more specific categorization of data and breaks down large classification problems into subproblems, providing...
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Damage identification of steel-ECC composite deck incorporating piezoelectric impedance methodology and hierarchical clustering analysis
As a highly ductile concrete, engineered cementitious composites (ECC) can be used as pavement to form a lightweight composite bridge deck system....
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Hierarchical modelling of variance components makes analysis of resolvable incomplete block designs more efficient
The standard approach to variance component estimation in linear mixed models for alpha designs is the residual maximum likelihood (REML) method. One...
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Hierarchical Supervised Contrastive Learning for Multimodal Sentiment Analysis
Multimodal sentiment analysis (MSA) is dedicated to deciphering human emotions in videos. It is a challenging task due to the semantic disparities...
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Chemotherapy-induced oral mucositis: hierarchical analysis of recurrence factors
PurposeThis study aimed to analyze, through a hierarchical model, the risk factors associated with the recurrence of chemo-induced oral mucositis...
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Hierarchical disjoint principal component analysis
Dimension reduction, by means of Principal Component Analysis (PCA), is often employed to obtain a reduced set of components preserving the largest...
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Hierarchical non-dominated sort: analysis and improvement
Pareto dominance-based multiobjective evolutionary algorithms use non-dominated sorting to rank their solutions. In the last few decades, various...
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Connecting process models to response times through Bayesian hierarchical regression analysis
Process models specify a series of mental operations necessary to complete a task. We demonstrate how to use process models to analyze response-time...
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TSCL-FHFN: two-stage contrastive learning and feature hierarchical fusion network for multimodal sentiment analysis
Multimodal sentiment analysis faces two challenges: modality representation and modality fusion. Most of the existing models rely only on the feature...
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Description of the Divergence of Subpopulations in the Hierarchical System under the Analysis of Isonymy: III. Surname Inbreeding Coefficient
AbstractThe hierarchical structure of metapopulations characteristic of humans with their subdivision into parts (subpopulations), usually classified...
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Crashworthiness analysis of bio-inspired hierarchical circular tube under axial crushing
In this study, numerical and theoretical investigations are carried out to study the crushing behavior and energy absorption characteristics of...
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Isogeometric Analysis Using Basis Functions of Splines Spaces over Hierarchical T-meshes with High Level Differences
By using the method of space map**, basis functions of biquadratic polynomial spline spaces over the hierarchical T-meshes without limitation for...
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Hierarchical graph contrastive learning of local and global presentation for multimodal sentiment analysis
Multi-modal sentiment analysis (MSA) aims to regress or classify the overall sentiment of utterances through acoustic, visual, and textual cues....
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Creep level qualitative evaluating of crushed rock based on uncertainty measurement theory and hierarchical analysis
A large number of tectonically mixed rock belts and complex tectonic zones are distributed in the southwestern part of China. In these areas, high...
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A hierarchical cluster analysis for clinical profiling of tofacitinib treatment response in patients with rheumatoid arthritis
Tofacitinib is the first oral JAK inhibitor approved for treating rheumatoid arthritis (RA). To enhance our understanding of tofacitinib drug...
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Discovering the hierarchical structure of variables describing adult attachment: insight from a joint analysis of seven questionnaires
Our work aimed to discover the structure of variables developed to conceptualize attachment dimensions in seven main approaches and measurement...
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Hierarchical and networked analysis of resilience factors in mountain communities in Southwest China
Communities' pre-disaster resistance, disaster response, and post-disaster recovery processes are all affected by the level of resilience. This...
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Hierarchical pose net: spatial hierarchical body tree driven multi-person pose estimation
In this paper, we explore multi-level semantic information of human body structure and propose a paradigm for bottom-up multi-person pose estimation....
