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1281
A Hybrid Model for Carbon Price Forecasting Based on Secondary Decomposition and Weight Optimization
Published 2025-07-01“…Secondly, a two-stage feature-selection method is employed, in which the partial autocorrelation function (PACF) is used to select relevant lagged features, while the maximal information coefficient (MIC) is applied to identify key variables from both historical and external data. …”
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1282
Donor Parameters and Platelet Yield during Plateletpheresis: A Cross-sectional Prospective Study
Published 2024-12-01“…A relationship between pre-donation donor variables and platelet yield was studied using the Pearson correlation coefficient (r). …”
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1283
Neural Network-Based State Estimation for a Closed-Loop Control Strategy Applied to a Fed-Batch Bioreactor
Published 2017-01-01“…The lack of online information on some bioprocess variables and the presence of model and parametric uncertainties pose significant challenges to the design of efficient closed-loop control strategies. …”
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1284
Genome Microscale Heterogeneity among Wild Potatoes Revealed by Diversity Arrays Technology Marker Sequences
Published 2013-01-01“…However, scant information is available for these species in terms of genome organization, gene function, and regulatory networks. Consequently, genomic tools to assist breeding are meager, and efficient exploitation of these species has been limited so far. …”
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1285
Slow and Quick Flow Models Explain the Temporal Dynamics of Daily Salinity in Streams
Published 2025-06-01“…Compared to the simple C‐Q equation, this equation explained the temporal dynamics with an average increase of 0.17 in the Nash‐Sutcliffe efficiency coefficient. Global parameter estimation gave an objective estimate of baseflow with a plausible baseflow index ranging between 0.05 and 0.40 across catchments. …”
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1286
SDKU-Net: A Novel Architecture with Dynamic Kernels and Optimizer Switching for Enhanced Shadow Detection in Remote Sensing
Published 2025-02-01“…SDKU-Net integrates dynamic kernel adjustment, a combined loss function incorporating Focal and Tversky Loss, and optimizer switching to effectively tackle class imbalance and improve segmentation quality. …”
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1287
Application of Machine Learning for Bulbous Bow Optimization Design and Ship Resistance Prediction
Published 2025-03-01“…To solve the problem of insufficient accuracy in the single surrogate model, this study proposes a CBR surrogate model that integrates convolutional neural networks with backpropagation and radial basis function models. The coordinates of the control points of the NURBS surface at the bulbous bow are taken as the design variables. …”
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1288
Optimizing physical education schedules for long-term health benefits
Published 2025-06-01“…The developed DL model integrates convolutional neural network (CNN) layers to capture spatial features and long short-term memory (LSTM) layers to extract temporal patterns from demographic and activity-related variables. These features are combined through a fusion layer, and a customized loss function is employed to accurately predict fitness scores.ResultsExtensive experimental evaluation demonstrates that the proposed model consistently outperforms competitive baseline models. …”
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1289
Optimizing the Production of LNG and NGL from Arab Crudes and Wet Gases
Published 1995-01-01“…The developed model should be utilized as a useful tool to help the design of an efficient processing of natural gases. A great deal of the unlimited what if questions can be answered using this model. …”
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1290
Flow-based cytometric analysis of cell cycle via simulated cell populations.
Published 2010-04-01“…We present a new approach to the handling and interrogating of large flow cytometry data where cell status and function can be described, at the population level, by global descriptors such as distribution mean or co-efficient of variation experimental data. …”
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1291
A theory and data-driven method for rapid bottom hole pressure calculation in UGS
Published 2025-03-01“…To enhance the operational and maintenance efficiency of UGS, this paper innovatively proposes a new method for calculating bottom hole pressure. …”
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1292
A Knowledge-Driven Smart System Based on Reinforcement Learning for Pork Supply-Demand Regulation
Published 2025-07-01“…Around the core of the system, a nonlinear constrained optimization model is established, which uses adjustments to newly retained gilts as decision variables and minimizes supply-demand squared errors as its objective function, incorporating multi-dimensional factors such as pig growth dynamics, epidemic impacts, consumption trends, and international trade into its analytical framework. …”
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1293
A LINEAR SIMULATION MODEL FOR OPTIMIZING CROP STRUCTURE IN ORDER TO MAXIMIZE INCOME IN A VEGETAL AGRICULTURAL FARM
Published 2023-01-01“…The model included: the 8 unknown variables for the cultivated area with 8 crops: wheat, rye, barley, peas, rape, soybean, maize and sunflower, 14 restrictions regarding Diesel fuel, fertilizers, herbicides, total surface, expenditures, income, and area per each crop, and objective - function f(Max) Income. …”
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1294
Crystalloid Liberal or Vasopressors Early Resuscitation in Sepsis-Study of Treatment’s Echocardiographic Mechanisms (CLOVERS-STEM)
Published 2024-12-01“…Receipt of fluid and vasopressors, common treatments in septic shock, may affect cardiac function. OBJECTIVES:. We sought to determine whether a liberal or restrictive fluid resuscitation strategy was associated with changes in cardiac function. …”
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1295
On Complex Singularity Analysis for Some Linear Partial Differential Equations in
Published 2013-01-01“…We construct these solutions with the help of series of functions with infinitely many variables which involve derivatives of all orders of X in one variable. …”
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1296
Large live biomass carbon losses from droughts in the northern temperate ecosystems during 2016-2022
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1297
Effects of shading on photosynthetic characteristics and shade-tolerance evaluation of three Ranunculaceae plants
Published 2024-11-01“…The light saturation point(LSP), light compensation point(LCP)and dark respiration rate(Rd)of the three plants decreased gradually.(3)The original fluorescence(Fo)decreased first and then increased, while the maximum fluorescence(Fm), variable fluorescence(Fv), maximum photochemical efficiency of PS Ⅱ(Fv/Fm)and potential activity of PS Ⅱ(Fv/Fo)values increased first and then decreased; the quantum ratio of heat dissipation(φDo)and the energy dissipated per unit reaction center(DIo/RC)decreased first and then increased, while electron transport quantum yield(φEo), light energy absorbed per unit reaction center(ABS/RC), light energy captured per unit reaction center(TRo/RC), energy used to transfer electrons per unit reaction center(ETo/RC), photosynthetic performance index(PIabs)and comprehensive performance index(PItotal)increased first and then decreased.(4)Comprehensive analysis on 20 single indicators by using analysis methods such as principal component analysis and membership function method showed that the shade-tolerance of the three plants ranked as Thalictrum fortunei > Delphinium anthriscifolium var. savatieri > R. japonicus. …”
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1298
A non-dominated sorting based multi-objective neural network algorithm of ethylene glycol hydrogenation reactor in energy reduction
Published 2024-12-01“…Artificial intelligence (AI) can be applied to various ethylene glycol (EG) production aspects to improve efficiency, quality, and overall process optimization. …”
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1299
Optimal power flow using recent red-tailed hawk optimization algorithm
Published 2025-03-01“…Optimization can efficiently achieve various objective functions in power systems. …”
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1300
Sinc-Chebyshev Collocation Method for a Class of Fractional Diffusion-Wave Equations
Published 2014-01-01“…This paper is devoted to investigating the numerical solution for a class of fractional diffusion-wave equations with a variable coefficient where the fractional derivatives are described in the Caputo sense. …”
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