A Coupled Least Absolute Shrinkage and Selection Operator–Backpropagation Model for Estimating Evapotranspiration in Xizang Plateau Irrigation Districts with Reduced Meteorological... by Qiang Meng, Jingxia Liu, Fengrui Li, Peng Chen, Junzeng Xu, Yawei Li, Tangzhe Nie, Yu Han

“…Short-term ET_O predictions for the three districts were also conducted using the mean-generating function optimal subset regression algorithm. …”
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Assessment of the Maize Crop Water Stress Index (CWSI) Using Drone-Acquired Data Across Different Phenological Stages by Mpho Kapari, Mbulisi Sibanda, James Magidi, Tafadzwanashe Mabhaudhi, Sylvester Mpandeli, Luxon Nhamo

“…This study sought to predict a foliar temperature-derived maize CWSI as a proxy for crop water stress using UAV-acquired spectral variables together with random forest regression throughout the vegetative and reproductive growth stages. …”
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Relationship of transforming growth factor β1 with diabetic retinopathy in type 2 diabetes by A.S. Hudz, V.A. Serhiyenko, I.V. Kudryl, V.G. Guryanov, M.I. Kovtun, S.V. Ziablitsev

“…A three-factor classification model was created on the identified features, which included a system of equations that predicted PDR with 100% accuracy. The overall prediction accuracy of the model was 88.2 % (95% CI 80.4–93.8 %). …”
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H-NMR metabolomics identifies three distinct metabolic profiles differentially associated with cardiometabolic risk in patients with obesity in the Di@bet.es cohort by Enrique Ozcariz, Montse Guardiola, Núria Amigó, Sergio Valdés, Wasima Oualla-Bachiri, Pere Rehues, Gemma Rojo-Martinez, Josep Ribalta

“…In addition, H-NMR metabolomics improved the prediction of future cardiometabolic disease in comparison with models relying on just anthropometric measures. …”
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LOGICAL AND COMPETENCY APPROACH IN LEARNING SPORTS DISCIPLINES by Yury D. Ovchinnikov

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Helix Folding in One Dimension: Effects of Proline Co-Solvent on Free Energy Landscape of Hydrogen Bond Dynamics in Alanine Peptides by Krzysztof Kuczera

“…The effects of addition of proline on the free energy landscape for helix folding were analyzed using the graph-based Dijkstra algorithm, Optimal Dimensionality Reduction kinetic coarse graining, committor functions, as well as through the diffusion of the helix boundary. …”
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Using an Improved PSO-SVM Model to Recognize and Classify the Image Signals by Ying Zhao, Guocheng Wei

“…At the data level, dimensionality reduction is performed on high-dimensional image data to compress the data. …”
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Minimum Error Integration Method for Quadrilateral Flat Plate Fitting in Steel Construction by Zhuoju Huang, Jiemin Ding

“…Our results demonstrate at most a 75.5% reduction in fitting errors for analytical curved plates with particularly significant improvements in biconvex curvature scenarios. …”
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Quantum-enhanced Markov chain Monte Carlo for systems larger than a quantum computer by Stuart Ferguson, Petros Wallden

“…In this paper we introduce a framework to coarse grain the algorithm in such a way that the quantum computation can be performed using considerably smaller quantum computers and we term the method the coarse grained quantum-enhanced Markov chain Monte Carlo (CGQeMCMC). …”
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Automated pavement marking integrity assessment using a UAV platform – a test case of public parking by Payam Rahnamayiezekavat, Di Wang, Jian Chai, Sungkon Moon, Maria Rashidi, Xiangyu Wang

“…Conventional manual assessment approaches are time-consuming, qualitative, and argued to be subjective. Thus, cost reduction, quantitative analysis, and automatization have been the focus of research. …”
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OPERATING EXPENSES FOR LARGE AMERICAN AIR CARRIERS by A. B. Manvelidze

“…Indicators of cost of transportations and profitability during noticeable reduction of prices of aviation fuel in 2014-2016 are compared. …”
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A Heavy-Haul Railway Corrugation Diagnosis Method Based on WPD-ASTFT and SVM by Binghuan Xiao, Jinzhao Liu, Ziyuan Zhang

“…The adaptive short-time Fourier transform (ASTFT) is incorporated with the Renyi entropy and the particle swarm optimization algorithm, which achieves a better aggregation of the time-frequency distribution and reduces the computation cost. …”
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Aggregated calculation of the weighted average cost of capital of companies by A. J. Kukharenko, A. A. Stern, M. A. Gorsky

“…In order to increase the practical significance of this algorithm, we propose a «one-step» formula that provides for a uniform procedure for calculating the weighted average cost of capital of Russian companies based on a universal formula. …”
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Enhanced SOC estimation method for lithium-ion batteries using Bayesian-optimized TCN–LSTM neural networks by Taotao Hu, Xiting Zhu, Maokai Tian

“…This study leverages the CALCE dataset and employs the random forest algorithm for dimensionality reduction, selecting voltage, discharge capacity, and discharge energy as key input features. …”
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Nutritional Support for Critically Ill Patients (Review) by Igor N. Pasechnik

“…This approach allows both optimization of medical care for this extremely challenging category of patients and a reduction in the severity and duration of the PIT syndrome.…”
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Optimisation of Criminal Data Clustering Model using Information Gain by Prih Diantono Abda’u, Ratih Hafsarah Maharrani, Muhammad Nur Faiz, Oman Somantri

“…To address this issue, this study applies Information Gain reduction to reduce data dimensionality by eliminating attributes with low informational contribution. …”
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Optimal Band Configuration for the Roof Surface Characterization Using Hyperspectral and LiDAR Imaging by Prakash Nimbalkar, Anna Jarocinska, Bogdan Zagajewski

“…The band selection method worked efficiently than the transformation methods. The classification algorithm successfully identifies the optimum bands with significant accuracy.…”
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Postulates of oncology alertness for an outpatient therapist: let’s look at the example of lung cancer by A. L. Vertkin, M. A. Rudnitskaya, Yu. V. Vakhabova, G. Yu. Knorring

“…The formation and maintenance of skills of oncological alertness among doctors of almost all specialties can ensure the detection and reduction of the frequency of detection of advanced/late-stage tumors, which means it will help to start specialized treatment earlier. …”
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A targeted one dimensional fully convolutional autoencoder network for intelligent compression of magnetic flux leakage data by Wenbo Xuan, Pengchao Chen, Rui Li, Fuxiang Wang, Kuan Fu, Zhitao Wen

“…Secondly, a data block classification algorithm is developed to calculate peak values for segmented differential data, and based on a predefined targeted threshold, distinguish different types of MFL data. …”
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Endocannabinoid Signaling Regulates Sleep Stability. by Matthew J Pava, Alexandros Makriyannis, David M Lovinger

“…While activation of CB1 resulted in only a slight reduction in gamma power, CB1 blockade had dramatic effects on broadband power in the EEG, particularly at low frequencies. …”
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