An Efficient Zero-Stable Numerical Method for Fourth-Order Differential Equations by S. J. Kayode

“…The method is consistent, symmetric, and of optimal order 𝑝=6. The main predictor for the method is also consistent, symmetric, zero-stable, and of optimal order 𝑝=6.…”
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Simulation and Test of Key Decorticating Components of Spiral Ramie Decorticator by Wenlong Zheng, Lan Ma, Jiajie Liu, Bo Yan, Yiping Duan, Sixun Chen, Jiangnan Lyu, Wei Xiang

“…Under dynamic load conditions, the ramie decorticator can efficiently perform the task of ramie fiber decortication, and the stress and strain experienced by the device meet the established design specifications; by optimizing operating parameters, the optimal operating conditions were determined to be the speed of feeding and crushing parts (SFCP) of 100 r/min, the speed of separating and throwing parts (SSTP) of 400 r/min, the gap of feeding and crushing parts (GFCP) of 8 mm, and the gap of separating and throwing parts (GSTP) of 0 mm. …”
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The diagnostic value and efficacy evaluation of lung ultrasound score in neonatal respiratory distress syndrome: a prospective observational study by Jian Dong, Yuhong Deng, Jin Tong, Tingting Du, Wenguang Liu, Yan Guo

“…The diagnostic AUC for the 12-zone lung ultrasound score is 0.84 (95% CI: 0.73–0.95), with an optimal cut-off value of 13.5 for diseased vs. not diseased, while the AUC for the 14-zone lung ultrasound score is 0.88 (95% CI: 0.76–0.99), with an optimal cut-off value of 34 for diseased vs. not diseased. …”
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STRATEGI DINAS KOMUNIKASI DAN INFORMATIKA KABUPATEN BOJONEGORO DALAM PENERAPAN SISTEM PEMERINTAHAN BERBASIS ELEKTRONIK (SPBE) DI KABUPATEN BOJONEGORO by Nisa Safaatin, Ertien Rining Nawangsari

“…In its implementation, there are several problems, namely the SPBE index, which is still not optimal, lack of IT knowledge in human resources, and infrastructure, which is still uneven. …”
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Tryptanthrin exerts anti-breast cancer effects both in vitro and in vivo through modulating the inflammatory tumor microenvironment by Zeng Qingfang, Luo Cairong, Cho Junlae, Lai Donna, Shen Xiangchun, Zhang Xiaoyan, Zhou Wei

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Joint scheduling method of peak shaving and frequency regulation using hybrid energy storage considering degeneration characteristic by Yubo Wang, Xingang Zhao, Yujing Huang

“…Simulation studies demonstrate that the proposed joint scheduling method can optimize the power of different energy storage, alleviate the degradation process of battery energy storage. …”
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Modeling and Simulation of Power Distribution System in More Electric Aircraft by Zhangang Yang, Junchao Qu, Yingchuan Ma, Xudong Shi

“…With this new concept, the performance of the aircraft can be further optimized and meanwhile the operating and maintenance cost will be decreased effectively. …”
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Implementing a Wide-Area Network and Low Power Solution Using Long-Range Wide-Area Network Technology by Floarea Pitu, Nicoleta Cristina Gaitan

“…In recent decades, technology has undergone significant transformations, aimed at optimizing and enhancing the quality of human life. …”
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Loan classification using a feed-forward neural network by U. I. Behunkou

“…Polynomial parameters and the principal component method are used to determine the optimal set of input data for the studied neural network.Results. …”
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A Comparative Study of the Impact of the Stirrer Design in the Stir Casting Route to Produce Metal Matrix Composites by Farooq Muhammad, Shawnam Jalal

“…Researchers employed a hybrid method to optimize the stir casting parameters. The vast number of parameters and their overlap affects the uniform distribution of reinforcement particles. …”
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Shape Prior Embedded Level Set Model for Image Segmentation by Wansuo Liu, Dengwei Wang, Wenjun Shi

“…This paper presents an optimized level set evolution (LSE) without reinitialization (LSEWR) model and a shape prior embedded level set model (LSM) for robust image segmentation. …”
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Artificial Intelligence-Based Real-Time Signal Sample and Analysis of Multiperson Dragon Boat Race in Complex Networks by Yu Li, Peihua Liu

“…The optimal value will be used in the simulated race as the target value to verify if it can help to improve the training efficiency. …”
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Data Imputation for Detected Traffic Volume of Freeway Using Regression of Multilayer Perceptron by Xiang Wang, Yingying Ma, Shengwen Huang, Yu Xu

“…However, data loss often happens due to various factors in the real world, which may cause large deviations in prediction or bad accuracy of optimizations. Imputation is a valid way to handle missing values. …”
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Dynamic Sensor Scheduling for Thermal Management in Biological Wireless Sensor Networks by Yahya Osais, F. Richard Yu, Marc St-Hilaire

“…In order to obtain the optimal policy in a lesser amount of time, two specific types of states are aggregated to produce a considerably smaller MDP model equivalent to the original one. …”
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Automated mechanical ventilator design and analysis using neural network by S. Hariharan, Hemalatha Karnan, D. Uma Maheswari

“…The check valves 1 and 2 governed by the control parameters provide optimal volume that must be sent inside the tracheal region. …”
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Providing a New Multiobjective Two-Layer Approach for Developing Service Restoration of a Smart Distribution System by Islanding of Faulty Area by Hasan Keshavarz Ziarani, Seyed Hossein Hosseinian, Ahmad Fakharian

“…A new mathematical model for the optimal arrangement of the system for the faulty area in the first layer is proposed. …”
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A Phoenix++ Based New Genetic Algorithm Involving Mechanism of Simulated Annealing by Luokai Hu, Jin Liu, Chao Liang, Fuchuan Ni, Hang Chen

“…Genetic algorithm is easy to fall into local optimal solution. Simulated annealing algorithm may accept nonoptimal solution at a certain probability to jump out of local optimal solution. …”
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Improving the Consistency of Injection Molding Products by Intelligent Temperature Compensation Control by Yufei Ruan, Huang Gao, Dequn Li

“…A data-based feedforward iterative learning control (ILC) algorithm is designed to learn the optimal compensation time. Once the optimal compensation time is learned, a deep Q-learning algorithm which combined Q-learning with an artificial neural network (ANN) is proposed to learn the optimal compensation quantity. …”
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A Decentralized Energy Flow Control Framework for Regional Energy Internet by Guofeng Wang, Kangli Zhao, Yu Yang, Junjie Lu, Youbing Zhang

“…Owing to the fact that it is difficult to achieve an optimal operation for centralized control, we propose a decentralized energy flow control framework for regional Energy Internet. …”
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Parameter Optimisation of Power Regeneration on the Hydraulic Electric Regenerative Shock Absorber System by Peng Zheng, Ruichen Wang, Jingwei Gao, Xiang Zhang

“…The proposed model is also capable of obtaining the optimal parameters at certain condition, as well as providing the flexibility of different component combinations to match specific system need. …”
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