Classifying Aerosol Particle Size Using Polynomial Coefficient of Aerosol Optical Depth–Wavelength Relationship by Dyi-Huey Chang

“…The coefficients of the same order exhibit a scaled relationship, where scaling factors are expressed as a function of wavelength.…”
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A joint learning approach for automated diagnosis of keratinocyte carcinoma using optical attenuation coefficients by Lei Zhang, Xiaoran Li, Wen Chen, Yuanjie Gu, Hao Wu, Zhong Lu, Biqin Dong

“…Here, we propose an automated diagnostic method using the optical attenuation coefficient (OAC) and a joint learning strategy to classify AK, BCC, and normal skin. …”
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Experimental Study: Stress Path Coefficient in Unconsolidated Sands: Effects of Re-Pressurization and Depletion Hysteresis by Sabyasachi Prakash, Michael Myers, George Wong, Lori Hathon, Duane Mikulencak

“…It investigates the variability of horizontal stress path coefficient as a function of changing pore pressure (depressurization and re-pressurization) in unconsolidated sandstone reservoirs. …”
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EVALUATION OF SUBSOIL MASSIF STABILITY TAKING INTO ACCOUNT THE IRREGULARITY OF CONSTITUENT ROCKS ON THE BASIS OF A RANDOM SIZE AND FUNCTION MODEL by M. O. Allaev

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Variability of Interpolation Errors and Mutual Enhancement of Different Interpolation Methods by Yunxia He, Mingliang Luo, Hui Yang, Leichao Bai, Zhongsheng Chen

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Multiyear Measurements of the Aerosol Absorption Coefficient Near the Surface in a Small-Sized Urban Area in Portugal by Sérgio Nepomuceno Pereira, Frank Wagner, Ana Maria Silva

“…Also, a strong negative correlation between the aerosol absorption coefficient and the wind speed was verified, and an exponential decay function was found to fit very well to the data. …”
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Research on Energy-Efficient Building Design Using Target Function Optimization and Genetic Neural Networks by Youxiang Huan

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Long-Term Teleconnections Between Global Circulation Patterns and Interannual Variability of Surface Air Temperature over Kingdom of Saudi Arabia by Abdullkarim K. Almaashi, Hosny M. Hasanean, Abdulhaleem H. Labban

“…The empirical orthogonal function (EOF) method is employed for analyzing SAT due to its effectiveness in extracting dominant patterns of variability during the winter (DJF) and summer (JJA) seasons. …”
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Monitoring of Energy Efficiency of District Heating System Facilities: Methodology for Determining the Energy Baseline by Davydenko L.V., Davydenko N.V., Davydenko V.A., Sprake D.

“…The search for models of optimal complexity was performed in six classes of basic functions. The selection of better structures of the mathematical model was realized based on the criteria for its appropriate-ness (regularity, unbiasedness criterion, Schwartz, determination coefficient) and accuracy of the forecast using the morphological criterion. …”
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Full linearization of nonlinear flow control valves via variable gear ratio design by Thitipun Thongnueakhaeng, Tawat De Haas, Thananchai Leephakpreeda

“…Abstract The paper proposes the full linearization of nonlinear characteristics of flow control valves via variable gear ratio design. The inherent nonlinear function of the normalized valve capacity coefficients to the percentages of valve opening is derived from flow experiments. …”
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Modeling creep for a closed cylindrical shell under hydrostatic pressure by M. A. Magomedov, V. V. Kuznetsov, B. M. Yazyev, S. V. Litvinov

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Variable convergence train noise active control algorithm based on feedforward reference by LI Tao, HE Yuyao, WANG Ning, LI Zhuang, SHEN Zhaoyuan, XIAO Gang

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Experimental Characteristics of Mechanical Continuously Variable Transmission with Internal Force Functions by A. V. Yurkevich, A. V. Tereshin, V. A. Soldatkin

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A novel extraction model optimization with effective separation coefficient for rare earth extraction process using improve differential evolution by Fangping Xu, Hui Yang, Jianyong Zhu, Wenjia Chang

“…This model also facilitates the construction of an optimized objective function for determining the effective separation coefficient. …”
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DBEM solutions to modified Helmholtz problems for FGMs of space–time-dependent properties by Mohammad Ivan Azis

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Interdecadal Variability of Summer Precipitation Efficiency in East Asia by Jian Wang, Shu Gui, Anqi Ma, Ruowen Yang, Qi Zhang

“…Two major modes of summertime precipitation efficiency are identified using Empirical Orthogonal Function (EOF) analysis. …”
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Patterns of intra-cluster correlation coefficients in school-based cluster randomised controlled trials of interventions for improving social-emotional functioning outcomes in pupi... by Kitty Parker, Michael Nunns, ZhiMin Xiao, Tamsin Ford, Paul Stallard, Willem Kuyken, Nick Axford, Obioha C. Ukoumunne

“…Abstract Background The cluster randomised trial (CRT) design is increasingly used to evaluate the impact of school-based interventions for improving social-emotional functioning outcomes in pupils. Good knowledge is required on plausible values of the intra-cluster correlation coefficient (ICC) of the outcome to calculate the required sample size in such studies. …”
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Machine Learning and Statistical Analyses of Sensor Data Reveal Variability Between Repeated Trials in Parkinson’s Disease Mobility Assessments by Rana M. Khalil, Lisa M. Shulman, Ann L. Gruber-Baldini, Sunita Shakya, Jeffrey M. Hausdorff, Rainer von Coelln, Michael P. Cummings

“…Although the total duration remains relatively consistent between trials (intraclass correlation coefficient (ICC) = 0.62 to 0.95), greater variability is seen in subtask duration and sensor-derived measures, reflected in machine learning performance and statistical differences. …”
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ON TECHNIQUE OF FUZZY EXPERT KNOWLEDGE REPRESENTATION by Lyudmila Victorovna Borisova, Valery Petrovich Dimitrov, Inna Nikolayevna Nurutdinova

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An Improvement of Least Squares Theory: Theory of Least p-Variances Approximation and p-Uncorrelated Functions by Mohammad Masjed-Jamei

“…In this direction, some new concepts, such as p-covariances with respect to a fixed variable, p-correlation coefficients with respect to a fixed variable, and p-uncorrelatedness with respect to a fixed variable, are defined in order to establish least p-variance approximations. …”
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