Rice disease detection method based on multi-scale dynamic feature fusion by Qian Fan, Runhao Chen, Bin Li

“…Additionally, an efficient multi-scale feature fusion module (EMFFM) is devised, improving both the computational efficiency and feature extraction capabilities of the model, while simultaneously reducing the number of parameters and memory footprint. The bounding box regression loss function, inner-WIoU, utilizes auxiliary bounding boxes and scale factors. …”
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Accelerated unconstrained latent factorization of tensor model for Web service QoS estimation by Mingwei LIN, Wenqiang LI, Xiuqin XU, Jian LIU

“…Aiming at the problem that the Web service quality of service (QoS) estimation methods based on the non-negative latent factorization of tensor model (NLFT) depend heavily on non-negative initial random data and specially designed non-negative training schemes, which lead to low compatibility and scalability, an accelerated unconstrained latent factorization of tensor (AULFT) model was proposed.The proposed model consisted of three main parts.The non-negative constraints from decision parameters were transferred to output latent factors and they were connected through the single-element-dependent mapping function.A momentum-incorporated stochastic gradient descent (MSGD) algorithm was used to effectively improve the convergence rate and estimation accuracy of the proposed AULFT model.The detailed algorithm and result analysis of the proposed AULFT model were presented.The empirical study on two dynamic QoS datasets in real industrial applications demonstrates that the proposed AULFT model has higher computational efficiency and estimation accuracy than the state-of-the-art QoS estimation models.…”
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Condition-index based new ridge regression estimator for linear regression model with multicollinearity by Irum Sajjad Dar, Sohail Chand, Maha Shabbir, B.M. Golam Kibria

“…Several methods for choosing the ridge parameter are suggested in the literature. In this paper, we suggest a new ridge estimator which is a function of condition index, number of predictors and error variance. …”
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Automated Detection of Point Mutations by Electrophoresis in Peptide-Nucleic Acid-Containing Gels by Gabor L. Igloi

“…It has been shown that parameters affecting the resolution of these species include not only temperature and concentration (as a function of the [GC] content of the PNA), but also the position of the PNA binding sequence within the interacting DNA segment. …”
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Goods Sorting Tool Based on Weight of Goods Using Arduino Nano by Robi Irlanda Ihwan, Oriza Candra

“…After testing and analyzing the test results, it can be concluded that the tool can function properly which can classify 8 products per minute with 100% accuracy.…”
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Modeling of the roughness effect in normal contact of deformable solids by Irina G. Goryacheva, Anastasiya A. Yakovenko

“…This approach makes it possible to evaluate the influence of roughness on both real contact characteristics (microscale) and nominal ones (macroscale). …”
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Semiparametric Estimation and Application of Realized GARCH Model with Time-Varying Leverage Effect by Jinguan Lin, Yizhi Mao, Hongxia Hao, Guangying Liu

“…The Quasi-Maximum Likelihood-Kernel (QML-K) method is proposed to approximate the density function of returns and to estimate the parameters in the new model. …”
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Upadacitinib for the treatment of radiographic axial spondyloarthritis — case series and review of the literature by Giuseppe Lopalco, Arianna D’Antonio, Maria Sole Chimenti, Florenzo Iannone

“…In phase III clinical trials, upadacitinib was associated with rapid and significant improvement in disease parameters, including scores for pain, function and mobility, signs of structural damage, and patient-reported outcomes, and had an overall incidence of adverse events similar to that in the placebo group. …”
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Extended Gumbel Type-2 Distribution: Properties and Applications by A. A. Ogunde, S. T. Fayose, B. Ajayi, D. O. Omosigho

“…Expressions for the density, moment-generating function, and rth moment of the order statistics are also obtained. …”
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Time-Dependent Multi-Center Semi-Open Heterogeneous Fleet Path Optimization and Charging Strategy by Tingxin Wen, Haoting Meng

“…The model incorporates a nonlinear power consumption measurement framework that accounts for vehicle parameters and road impedance, alongside an objective function designed to minimize the total cost, which includes fixed vehicle costs, driving costs, power consumption costs, and time window penalty costs. …”
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Wealth Share Analysis with “Fundamentalist/Chartist” Heterogeneous Agents by Hai-Chuan Xu, Wei Zhang, Xiong Xiong, Wei-Xing Zhou

“…We build a multiassets heterogeneous agents model with fundamentalists and chartists, who make investment decisions by maximizing the constant relative risk aversion utility function. We verify that the model can reproduce the main stylized facts in real markets, such as fat-tailed return distribution and long-term memory in volatility. …”
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Fast Decomposition Algorithm Based on Two-Dimensional Wavelet Transform for Image Processing of Graphic Design by Feifei Jiang, Wenting Yao

“…Firstly, the second-order decomposition of the image is performed by wavelet function to obtain the low-frequency components of the image, and the wavelet gradient vector is used to extract feature points from the overlapping regions of the low-frequency image so that the transformation parameters of feature points can be obtained quickly under the low-frequency image to guide the feature point extraction under the high-frequency image; on this basis, an improved algorithm of image processing based on the fast decomposition algorithm of two-dimensional wavelet transform with planar design is proposed. …”
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Modeling and Performance Analysis of Task Offloading of Heterogeneous Mobile Edge Computing Networks by Wenwang Li, Haohao Zhou

“…By analyzing the impact of bias factors and network parameters associated with MEC servers on network performance, we provide insights for MEC design, deployment and optimization.…”
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Half logistic exponentiated inverse Rayleigh distribution: Properties and application to life time data. by Juma Salehe Kamnge, Manoj Chacko

“…The statistical properties of the half-logistic exponentiated inverse Rayleigh distribution, such as the quantiles, moments, reliability, and hazard function, are examined. In particular, we provide several techniques to estimate the half-logistic exponentiated inverse Rayleigh distribution parameters: weighted least squares, Cramér-Von Mises, maximum likelihood, maximum product spacings and ordinary least squares methods. …”
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EM Algorithm in the Modified Slash Power Maxwell Distribution with an Application by Francisco A. Segovia, Yolanda M. Gómez, Héctor J. Gómez, Inmaculada Barranco-Chamorro, Héctor W. Gómez

“…An application to a real dataset is also included.…”
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Fiscal policy within a common currency area – growth implications in the light of neoclassical theory by Michał Konopczyński

“…Furthermore, we show that the golden rules of fiscal policy have the form of an alternative optimal policy that crucially depends on the relation between the real interest rate and the natural rate of growth and on the relations between five other autonomous parameters.…”
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Neural Networks Method in modeling of the financial company’s performance by I. P. Kurochkina, I. I. Kalinin, L. A. Mamatova, E. B. Shuvalova

“…It is important that the model included the factors of both direct and indirect actions with a range of quantitative parameters: conditional-ideal, real, the worst. The copyright factor selection algorithm complements the developed model. …”
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Research on Improved Bridge Surface Disease Detection Algorithm Based on YOLOv7-Tiny-DBB by Haichao An, Ying Fan, Zhuobin Jiao, Meiqin Liu

“…Additionally, by substituting the CIoU loss function with a boundary box regression loss function based on MPDIoU, the regression prediction capabilities are strengthened and both regression accuracy and speed are improved. …”
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Koopman-Driven Grip Force Prediction Through EMG Sensing by Tomislav Bazina, Ervin Kamenar, Maria Fonoberova, Igor Mezic

“…Loss of hand function due to conditions like stroke or multiple sclerosis impacts daily activities. …”
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Research on downhole drilling target detection based on improved Yolov8n by Jierui Ling, Zhibo Fu, Xinpeng Yuan

“…The Focaler_MDPIoU loss function was introduced to replace the CIoU loss function, and combined with a lightweight MLCA attention mechanism, a new convolutional block structure was formed, thereby enabling better feature fusion and helping the model focus more centrally on the important parts of the input image. …”
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