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Hierarchical Low Si/Al Ratio Ferrierite Zeolite by Sequential Postsynthesis Treatment: Catalytic Assessment in Dehydration Reaction of Methanol
Published 2019-01-01“…., <20) via conventional NaOH-based treatment, making the obtainment of hierarchical zeolites with high acidity a challenging target. …”
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Hydrothermal Pre-Carbonization Triggers Structural Reforming Enabling Pore-Tunable Hierarchical Porous Carbon for High-Performance Supercapacitors
Published 2024-12-01Subjects: “…hierarchical porous carbon…”
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284
Online Monitoring of Copper Damascene Electroplating Bath by Voltammetry: Selection of Variables for Multiblock and Hierarchical Chemometric Analysis of Voltammetric Data
Published 2017-01-01“…The RTA employs multivariate calibration when predicting concentration parameters from a multivariate data set. Although the hierarchical and multiblock Principal Component Regression- (PCR-) and Partial Least Squares- (PLS-) based methods can handle data sets even when the number of variables significantly exceeds the number of samples, it can be advantageous to reduce the number of variables to obtain improvement of the model predictions and better interpretation. …”
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285
Chromosomal Regions in Prostatic Carcinomas Studied by Comparative Genomic Hybridization, Hierarchical Cluster Analysis and Self-Organizing Feature Maps
Published 2002-01-01“…In this paper we applied hierarchical cluster analysis as well as two implementations of self‐organizing feature maps as classical and neuronal tools for cluster analysis of CGH data from prostatic carcinomas to such transposed data sets. …”
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286
MM-HiFuse: multi-modal multi-task hierarchical feature fusion for esophagus cancer staging and differentiation classification
Published 2025-01-01“…In this paper, we propose a hierarchical feature fusion network, MM-HiFuse, for multi-modal multitask learning to improve the classification accuracy of esophageal cancer staging and differentiation level. …”
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287
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Which, renewable or non-renewable energy, is more vital for the economic growth of OECD countries? A Bayesian hierarchical analysis
Published 2025-02-01“…In light of this issue, a Bayesian mixed-effects (hierarchical) regression framework provides a flexible and efficient alternative. …”
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289
Achieving High-Quality Image Stylization Using Hierarchical Sensibility Boost, Visual Style Attention, and Covariance Evolution Blend
Published 2025-01-01“…This paper proposes a novel approach for high-quality image stylization by introducing a method that integrates Hierarchical Sensibility Boost (HSB), Visual Style Attention (VSA), and Covariance Evolution Blend (CovEB) blocks. …”
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290
Unsupervised SAR Image Segmentation Based on a Hierarchical TMF Model in the Discrete Wavelet Domain for Sea Area Detection
Published 2014-01-01“…This letter presents a hierarchical TMF model in the discrete wavelet domain of unsupervised SAR image segmentation for sea area detection, which we have named the wavelet hierarchical TMF (WHTMF) model. …”
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291
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Hierarchical Newton Iterative Parameter Estimation of a Class of Input Nonlinear Systems Based on the Key Term Separation Principle
Published 2018-01-01“…Based on the decomposition technique, a hierarchical Newton iterative identification method combining the key term separation principle is proposed for enhancing the estimation accuracy and handling the computational load with the presence of the high dimensional matrices. …”
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293
Prolonging the Lifetime of Wireless Sensor Networks Interconnected to Fixed Network Using Hierarchical Energy Tree Based Routing Algorithm
Published 2014-01-01“…It also proposes an energy efficient routing algorithm for WSN called hierarchical energy tree based routing algorithm (HETRA) based on hierarchical energy tree constructed using the available energy in each node. …”
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294
Examining influencing factors and their hierarchical relationships in flight crew resilient behavior through a hybrid ISM-DEMATEL approach
Published 2025-01-01“…This study builds on American Airlines’ pioneering work by extending the FCRB scope to the Chinese aviation sector, and identifies 22 key factors influencing FCRB across individual, cockpit, organizational, and social dimensions through a comprehensive literature review and expert interviews. A hierarchical model was developed using Interpretive Structural Modeling (ISM) to uncover the relationships and layered dependencies among these factors. …”
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295
FAULT DIAGNOSIS OF PLANETARY GEAR BOX BASED ON SENSITIVE TRANSIERT IMPACT FEATURE EXTRACTION AND HIERARCHICAL EXTREME LEARNING MACHINE
Published 2020-01-01“…Secondly,the de-noising automatic encoder is used to make the input weight and threshold of the implicit learning node of the extreme learning machine satisfy the orthogonal condition to realize the layering of its hidden layers.Finally,the above eigenvector set is used as the input of the hierarchical extreme learning machine,and the fault classification model of the planetary gearbox solar wheel is established through training. …”
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296
Privacy-Enhanced Data Sharing Systems from Hierarchical ID-Based Puncturable Functional Encryption with Inner Product Predicates
Published 2024-01-01“…In this cryptosystem, a sender can encrypt a vector x→ into a ciphertext with a hierarchical identity, while a receiver who possesses a secret key corresponding to the same hierarchical identity and a vector y→ can decrypt the ciphertext and obtain the inner product x→,y→. …”
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Adaptive Hierarchical Multi-Headed Convolutional Neural Network With Modified Convolutional Block Attention for Aerial Forest Fire Detection
Published 2025-01-01Subjects: “…Adaptive hierarchical convolutional network…”
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299
Sustainable PV-hydrogen-storage microgrid energy management using a hierarchical economic model predictive control framework
Published 2025-02-01Subjects: Get full text
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300
Yes, they're all individuals: Hierarchical models for repeat survey data improve estimates of tree growth and size
Published 2025-01-01“…We present a new method that leverages the auto‐correlation structure of repeat surveys into a hierarchical Bayesian longitudinal growth model. This new structure allows users to correct for measurement error and capture individual‐level variation in growth trajectories and parameters. …”
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