Geometric Distribution Weight Information Modeled Using Radial Basis Function with Fractional Order for Linear Discriminant Analysis Method by Wen-Sheng Chen, Chu Zhang, Shengyong Chen

“…In order to enhance the classification power of FLDA method, this paper utilizes radial basis function (RBF) with fractional order to model the geometric distribution weight information of the training samples and proposes a novel geometric distribution weight information based Fisher discriminant criterion. …”
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Research and validation of forest carbon sequestration measurement model based on biomass method-A case study of Guizhou Province. by Zhang Min, Wu Yang, Qiu Yan, Yan Jun, Li Chunling, Ran Wen Rui

“…In view of the above problems, this paper studies the construction of carbon sequestration measurement model based on biomass estimation model. In this paper, sampling design, project boundary, carbon pool selection and other factors are considered in the construction of the model. …”
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Air pollutants and adverse pregnancy outcomes: A multi-method integration of Mendelian randomization, meta-analysis, and animal models by Wenhan Zhou, Jiejie Shao, Juanjuan Huang, Jianfeng Gan, Yinan Wang, Jianmin Chen, Yunqian Chen, Yang Zi, Qixin Xu, Qiongjie Zhou, Huanqiang Zhao, Xiaotian Li

“…Sensitivity analyses employed multiple methods, and two-step MR mediation analyses were performed. …”
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Derivative-Extended Time Domain Reduction for Coupled Systems Using Chebyshev Expansion by Xiaolong Wang, Yaolin Jiang, Jun Liu

“…In this paper, we extend this approach by taking the derivative information of the system into account in the context of model reduction of coupled systems. We expand the derivative terms over the Chebyshev polynomial basis and show that Chebyshev coefficients of the expansion possess a specific structure, making it possible to preserve much more time domain information by employing projection methods. …”
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Spectrum optimization of dynamic networks for reduction of vulnerability against adversarial resonance attacks by Alp Sahin, Nicolas Kozachuk, Rick S. Blum, Subhrajit Bhattacharya

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Self-adaptive simulation method for natural gas pipeline considering temperature and pressure compensations by Xiong YIN, Bo XU, Tianyao LIU, Kai WEN, Weihe HUANG, Jing GONG

“…Firstly, based on the fundamental flow equation of pipelines, the finite volume method employing a staggered mesh was utilized for discrete solutions, and the line model concept was integrated into the equipment model to enhance the precision, uniformity, and expansibility of the flow simulation process in natural gas pipelines. …”
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Improved Interpretability Without Performance Reduction in a Sepsis Prediction Risk Score by Adam Kotter, Samir Abdelrahman, Yi-Ki Jacob Wan, Karl Madaras-Kelly, Keaton L. Morgan, Chin Fung Kelvin Kan, Guilherme Del Fiol

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Neighborhood conditional mutual information entropy attribute reduction algorithm for hybrid data by Haibo LAN

“…Attribute reduction is an important research content of the rough set theory.Its main purpose is to eliminate irrelevant attributes in information systems, reduce data dimensions and improve data knowledge discovery performance.However, most of the attribute reduction methods based on a rough set do not consider the dependence between attributes, which makes the final attribute reduction result have some redundant attributes.An attribute reduction algorithm based on neighborhood conditional mutual information entropy was proposed.Firstly, based on the traditional neighborhood entropy, a hybrid neighborhood mutual information entropy model and a hybrid neighborhood conditional mutual information entropy model were proposed for hybrid data.Then, the two entropy models were used to evaluate the attribute dependence and attribute heuristic search of the hybrid information system, and an attribute reduction algorithm was designed.Finally, through the experimental analysis of UCI data sets, it was proved that the algorithm had higher attribute reduction performance.…”
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Advanced modeling of thermal screens: Maximizing energy and water savings in greenhouses by Ali Ghamari, Mehdi Baneshi, Amirhossein Fathi

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Investigation of Heat and Drag Reduction Induced by Forward-Facing Cavity in Hypersonic Flow by Ning Ding, Jianlong Chang, Junhui Liu

“…In this study, the Navier–Stokes equations and the SST k-ω turbulence model are employed to establish a simulation model for heat and drag reduction induced by a forward-facing cavity. …”
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Triple Validation of Calibrated Building Energy Models with Different Air Infiltration Values by Gabriela Bastos Porsani, Juan Bautista Echeverría Trueba, Carlos Fernández Bandera

“…In energy consumption results, the novel method models presented a 31% reduction, and for <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>CO</mi><mn>2</mn></msub></semantics></math></inline-formula> level agreement, these models achieved a 130% higher R² value than the classic model. …”
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Incremental attribute reduction algorithm for dominance-based neighborhood relative decision entropy by CHEN Baoguo, CHEN Lei, DENG Ming, LI Xiaoyan, CHEN Jinlin

“…However, for ordered information systems with dynamically updated and changing objects, existing incremental attribute reduction methods ignore the potential classification information that rough approximation sets can provide for attribute reduction.MethodsIn existing research results, scholars have jointly proposed a relative decision entropy model by utilizing the roughness and dependency of upper and lower approximation sets to combine information entropy. …”
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Dose Reduction in Scintigraphic Imaging Through Enhanced Convolutional Autoencoder-Based Denoising by Nikolaos Bouzianis, Ioannis Stathopoulos, Pipitsa Valsamaki, Efthymia Rapti, Ekaterini Trikopani, Vasiliki Apostolidou, Athanasia Kotini, Athanasios Zissimopoulos, Adam Adamopoulos, Efstratios Karavasilis

“…Results: The model achieved significant improvements in both PSNR and SSIM across all tested dose levels, particularly between 30% and 70% of the full dose. …”
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Enhancing Intrusion Detection Systems with Dimensionality Reduction and Multi-Stacking Ensemble Techniques by Ali Mohammed Alsaffar, Mostafa Nouri-Baygi, Hamed Zolbanin

“…To overcome these limitations, this paper presents an innovative approach that integrates dimensionality reduction and stacking ensemble techniques. We employ the LogitBoost algorithm with XGBRegressor for feature selection, complemented by a Residual Network (ResNet) deep learning model for feature extraction. …”
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Numerical Study on the Denitrification Efficiency of Selective Noncatalytic Reduction Technology in Decomposing Furnace by Shunsheng Xu, Jiazhen He, Fei Pei, Kun Li, Lele Liu, Zhiyong Dai

“…The model and simulation methods are verified by the field test. …”
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A novel trajectory learning method for robotic arms based on Gaussian Mixture Model and k-value selection algorithm. by Jingnan Yan, Yue Wu, Kexin Ji, Cheng Cheng, Yili Zheng

“…Experimental results demonstrate that, compared to the traditional Gaussian Mixture Model approach, the proposed method improves trajectory accuracy by more than 15%, as shown by reductions in both the Mean Absolute Error and the Root Mean Square Error. …”
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Heterogeneous effects of agricultural chemical reduction strategies on farmers’use of fertilizer and pesticide by ZHANG Lu, LUO Biliang

“…[Objective] This study examines the heterogeneity of behavioral intervention strategies for fertilization and pesticide application by analyzing the intrinsic attribute differences between chemical fertilizers and pesticides. [Methods] Based on the analytical framework of “technology-scale-division of labor-transaction” and utilizing research data collected from farmers in Hubei Province’s major rice-producing areas in 2022, this study employed a fixed-effects model to analyze the impacts of main reduction strategies on the use of fertilizers and pesticides. …”
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Transfer of the EFE-5 Executive Function Intervention Program to the Reduction of Behavioral Problems by Miriam Romero-López, Carmen Pichardo, Sylvia Sastre-Riba, Francisco Cano-García

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Study on Heat Dissipation of Reduction Gearbox of a Hoisting Mechanism in Stopped State by Gao Chunhui, Hu Xiong

“…In order to obtain the influence parameters,from the simplest condition,the stopped state in the work,by using the lumped heat capacity method,the reduction gearbox heat dissipation model is studied,the curve fitting theoretic support and the factors that can affect the heat dissipation are got. …”
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Effectiveness of the "Sayang Warga" Application as a Potential Solution for Stunting Reduction in Surabaya by Nugraha Tri Prayoga

“…This research employs a qualitative research method and is conducted in Surabaya City. The study utilizes secondary data from literature sources and applies an interactive model of qualitative data analysis techniques. …”
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