Modified One-Parameter Liu Estimator for the Linear Regression Model by Adewale F. Lukman, B. M. Golam Kibria, Kayode Ayinde, Segun L. Jegede

“…Two real-life data are analyzed to illustrate the findings of the paper and the performances of the estimators assessed by MSE and the mean squared prediction error. The application result agrees with the theoretical and simulation results.…”
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Gated Channel Attention Mechanism YOLOv3 Network for Small Target Detection by Xi Yang, Jin Shi, Juan Zhang

“…Finally, GCAM is added to improve the network’s feature expression and detection capability for small targets before the three-scale channels output the prediction results. The results show that the improved method can adapt to multiscale target detection tasks in complex scenes and reduce the missing rate of a small target.…”
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Evaluation of Coupled Model Forecasts of Ethiopian Highlands Summer Climate by Mark R. Jury

“…Early season forecasts of JJA maximum temperature are weak in both models; hence ability to predict water resource gains may be better than losses. …”
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HANDLING OF STUDENT FEEDBACK BASED ON TEXT CLASSIFICATION by Phạm Thị Kim Ngoan, Nguyễn Hải Triều

“…The classification and prediction of labels are based on the Support Vector Machine (SVM) and Naive Bayes Classifier (NBC) methods. …”
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How to Avoid Common Problems with Leaf Wetness Sensor Installation and Maintenance by Thiago Borba Onofre, Clyde W. Fraisse, Natalia A. Peres, Janise McNair

“… Leaf wetness duration is an essential input in disease prediction models and decision support systems in Florida and elsewhere. …”
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COMPUTER MODELING OF STRAINS ON PHASE BOUNDARIES IN DUCTILE CAST IRON AT HOT EXTRUSION by A. I. Pokrovsky, V. A. Kovtun, Т. V. Ryabchenko, I. Khrol

“…The obtained results could be used in the prediction of fracture zones in the cast iron products.…”
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Establishing a Novel Algorithm for Highly Responsive Storage Space Allocation Based on NAR and Improved NSGA-III by Peijian Wu, Yulu Chen

“…In this study, combined with predicting order requests, we established a multiobjective optimization model to solve the warehouse space allocation problem. …”
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Diffusion-driven self-assembly of emerin nanodomains at the nuclear envelope by Carlos D. Alas, Liying Wu, Fabien Pinaud, Christoph A. Haselwandter

“…Our model yields quantitative agreement with experimental observations on the size and occupancy of emerin nanodomains for wild-type emerin and EDMD-associated mutations of emerin, with and without applied forces, and allows successful prediction of emerin diffusion coefficients from observations of the overall properties of emerin nanodomains. …”
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Review of Blast Loading Models, Masonry Response, and Mitigation by Eid Badshah, Amjad Naseer, Muhammad Ashraf, Feroz Shah, Kareem Akhtar

“…Different models for prediction of blast loading, response of masonry structure against blast load, and various mitigation strategies are discussed. …”
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Effect of Mesh on Springback in 3D Finite Element Analysis of Flexible Microrolling by Feijun Qu, Zhengyi Jiang, Haina Lu

“…In flexible microrolling, springback in thickness direction is a critical indicator to determine the forming quality. Accurate prediction of springback is one of the significant aspects in the finite element analysis of flexible microrolling. …”
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A Hybrid Deep Learning Method for the Estimation of the State of Health of Lithium-Ion Batteries by Shuo Cheng

“…Compared to other complex deep learning (DL) methods, the VIT-GRU significantly outperforms them, according to the RMSE and MAE of the predicted values.…”
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Behavior of HPC with Fly Ash after Elevated Temperature by Huai-Shuai Shang, Ting-Hua Yi

“…It can serve as a reference for the maintenance, design, and the life prediction of high-performance concrete engineering, such as high-rise building, subjected to elevated temperatures.…”
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Parameter Estimation for a Class of Lifetime Models by Xinyang Ji, Shunhou Fan, Wei Fan

“…Our results show that MM has better effect of data fitting, more reasonable parametric estimates, and smaller prediction error compared with TSM.…”
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A 125 GeV Higgs and Its Diphoton Signal in Different SUSY Models: A Mini Review by Zhaoxia Heng

“…Our conclusion is as follows (i) in the allowed parameter space the SM-like Higgs boson can easily be 125 GeV in the MSSM, NMSSM, and nMSSM, while it is hard to realize in the constrained MSSM; (ii) the diphoton Higgs signal rate in the nMSSM and constrained MSSM is suppressed relative to the prediction of the SM, while the signal rate can be enhanced in the MSSM and NMSSM; (iii) the NMSSM may allow for a lighter top squark than the MSSM, which can thus ameliorate the fine-tuning problem.…”
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Event Forecasting in Organizational Networks: A Discrete Dynamical System Approach by Piotr Śliwa

“…An implementation of the proposed model, based on a decision tree classifier, achieved a prediction accuracy of 87% on a longitudinal data sample and thus demonstrated the practical usability of the model.…”
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Bayesian Inference of Ammunition Consumption Based on Normal-Inverse Gamma Distribution by Haobang Liu, Xianming Shi, Xiaojuan Chen, Yuan Li, Mei Zhao, Yongchao Jiang

“…To address the problems of high cost of new ammunition experiment, few data of field test and low accuracy of consumption prediction, this article proposes a Bayesian estimation method of ammunition consumption based on normal-inverse gamma distribution, and estimates the hyperparameters in the prior distribution through the prior information from the consumption of ammunition under different damage degrees of point targets, based on the normal distribution phenomenon of ammunition consumption at each damage degree. …”
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Higgs alignment from multicritical-point principle in two Higgs doublet models by Hikaru Kawai, Kiyoharu Kawana, Kin-ya Oda, Kei Yagyu

“…Abstract In models with non-minimal Higgs sectors, enforcing (near) Higgs alignment, necessary to prevent significant deviations in the Higgs boson coupling from the standard model prediction, causes a serious fine-tuning problem. We demonstrate that the Higgs alignment is naturally deduced from the multicritical point principle (MPP) in the general two Higgs doublet model while keeping non-zero CP-violating phases. …”
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Multiweight Cross-Multimedia Logistics Optimal Path Exploration by Integrating High-Dimensional Deep Learning by Huiying Zhang, Jinjin Guo, Guie Sun

“…The application of high-dimensional deep learning technology can help logistics enterprises improve their management level, realize intelligent decision-making, and enable accurate prediction. Starting from the total amount of logistics, regional layout, enterprise scale, and high-dimensional deep learning algorithm, this paper analyzes the current situation of China’s logistic development through multiweight analysis and explores the best path for multimedia logistics.…”
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Model and Simulation of Maximum Entropy Phrase Reordering of English Text in Language Learning Machine by Weifang Wu

“…In the experiment, they were combined with linguistic features such as parts of speech, words, and syntactic features extracted by using the syntax analyzer, and the maximum entropy classifier was used to predict translation errors, and the experimental verification was performed on the Chinese-English translation data set and compared. …”
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Critical Length and Collapse of Interlayer in Rock Salt Natural Gas Storage by Yingjie Wang, Jianjun Liu

“…The mathematical model established in this study is used in the seismic design and prediction of interlayer collapse during the construction of salt-cavern gas storage facilities in China.…”
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