Detection of Fungal Infections in Gloriosa Superba Plant Using the Convolution Neural Network Model by Guillermo Napoleón Pelaez-Diaz, Rosa Vílchez-Vásquez, Antonio Huaman-Osorio, R. Mahaveerakannan, S. Pushpa, Nilesh Shelke, Sumitha Jagadibabu, Jenifer Mahilraj

“…The enhanced particle swarm optimization (PSO) technique was used for optimization. …”
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Analysis of the Performance Characteristics of ZnO Nanoparticles’ Dispersed Polyester Oil by V. P. Suresh Kumar, N. Manikandan, N. Nagaprasad, Jule LetaTesfaye, Ramasamy Krishnaraj

“…The L9 orthogonal array-based full factorial design is used for the best optimization result. The response tables with graphs and optimal results have been obtained through the Taguchi method.…”
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A novel minimal exposure path problem in wireless sensor networks and its solution algorithm by Hao Feng, Lei Luo, Yong Wang, Miao Ye, Rongsheng Dong

“…A series of simulation experiments demonstrates that the designed optimization model with constraints and the hybrid genetic algorithm can effectively solve the proposed minimal exposure path problem.…”
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Deep learning–based resource allocation for secure transmission in a non-orthogonal multiple access network by Miao Zhang, Yao Zhang, Qian Cen, Shixun Wu

“…Hence, we formulate the optimization problem as a secrecy rate maximization problem. …”
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Applications of Self-Assembled Monolayers in Surface-Enhanced Raman Scattering by Charles K. Klutse, Adam Mayer, Julia Wittkamper, Brian M. Cullum

“…This work reviews the current optimization techniques available for improving the performance of some of these SERS substrates. …”
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Pose Space Surface Manipulation by Yusuke Yoshiyasu, Nobutoshi Yamazaki

“…The proposed system is built with a surface deformation method based on a two-step linear optimization technique and achieves direct manipulations of a model surface using translational and rotational controls. …”
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Substructural Identification of Flexural Rigidity for Beam-Like Structures by Ki-Young Koo, Jin-Hak Yi

“…This study proposes a novel substructural identification method based on the Bernoulli-Euler beam theory with a single variable optimization scheme to estimate the flexural rigidity of a beam-like structure such as a bridge deck, which is one of the major structural integrity indices of a structure. …”
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Modeling and Parameter Identification of the MR Damper Based on LS-SVM by Cheng Qian, Xiaoliang Yin, Qing Ouyang

“…Meanwhile, the genetic algorithm is introduced to optimize the parameters of the LS-SVM model which affect the accuracy of the model, the penalty factor c=16.48, and the kernel parameter σ=3.39 after optimization. …”
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Low fluctuation stiffness design method for vibration reduction of helical gears by YOU Zhiwei, GAO Jingtao, LI Haonan

“…Then the RMS of vibration energy before and after optimization was compared. The loaded static transfer error (LSTE) and dynamic response were analyzed, and two optimization design methods were discussed.ResultsThe results show that appropriate parameter design can significantly reduce the mesh stiffness fluctuation, optimize the LSTE and improve the vibration of the system. …”
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The Robustness and Sustainability of Port Logistics Systems for Emergency Supplies from Overseas by Yanyu Chen, Wenzhe Zheng, Wenbo Li, Yimiao Huang

“…This paper analyzes the sustainable development capability of the port logistics system for outbreak emergency supplies from overseas and formulates response strategies and robust collaborative optimization methods. The optimized and robust system is obtained through formula derivation and analysis, which realizes the coordinated optimization of emergency logistics infrastructure positioning and emergency rescue vehicle path positioning and minimizes the economic loss caused by the outbreak. …”
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Restricted Boltzmann Machine-Assisted Estimation of Distribution Algorithm for Complex Problems by Lin Bao, Xiaoyan Sun, Yang Chen, Guangyi Man, Hui Shao

“…A novel algorithm, called restricted Boltzmann machine-assisted estimation of distribution algorithm, is proposed for solving computationally expensive optimization problems with discrete variables. First, the individuals are evaluated using expensive fitness functions of the complex problems, and some dominant solutions are selected to construct the surrogate model. …”
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Research Progress in Separation of 99Mo by Jingyan ZHAO, Weidian WANG, Jixin LIANG, Yuxuan WU, Yijia SHEN

“…This article also concludes the optimization method，automatic production，which not only improves the efficiency of separation and purification，but also enhances the safety of operators in the production process. …”
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New Robust PCA for Outliers and Heavy Sparse Noises’ Detection via Affine Transformation, the L∗,w and L2,1 Norms, and Spatial Weight Matrix in High-Dimensional Images: From the Pe... by Peidong Liang, Habte Tadesse Likassa, Chentao Zhang, Jielong Guo

“…The determination of the parameters is involved, and the affine transformations are cast as a convex optimization problem. To mitigate the computational complexity, alternating iteratively reweighted direction method of multipliers (ADMM) method is utilized to derive a new set of recursive equations to update the optimization variables and the affine transformations iteratively in a round-robin manner. …”
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Financial flow management of trading companies based on business process modeling by G. N. Byblya, S. N. Tretyakova

“…The approach to financial flows management based on business process models and their optimization methods has been proposed. The approach to enterprise process management is based on the Deming-Shewhart cycle. …”
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Study on the Home Health Caregiver Scheduling Problem under a Resource Sharing Mode considering Differences in Working Time and Customer Satisfaction by Heping Wang, Yuke He, Yan Li, Fuyu Wang

“…Consequently, in this paper, a corresponding mathematical model is established and a hybrid algorithm that combines the whale optimization algorithm (WOA) with the particle swarm optimization (PSO) algorithm is proposed to solve the model. …”
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Comparative Analysis of Two Mathematical Models of Single Diode Photovoltaic Cells for Extracting PV Parameters Using Levenberg – Marquardt Algorithm by Chahet Youssef, Mimouni Abdelmalek, Bouaichi Abdellatif, El Amraoui Mohamed, El Amrani Aumeur, Bejjit Lahcen

“…The Levenberg-Marquardt optimization algorithm is chosen due to its effectiveness in addressing the complex optimization problems encountered in PV cells modeling. …”
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GO Loss: A Gaussian Distribution-Based Orthogonal Decomposition Loss for Classification by Mengxin Liu, Wenyuan Tao, Xiao Zhang, Yi Chen, Jie Li, Chung-Ming Own

“…Thus, separately minimizing losses on them can avoid the effects of their optimization. Accordingly, a stable convergence center can be obtained for each of them. …”
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A Kind of FM-BEM Penalty Function Method for a 3D Elastic Frictional Contact Nonlinear System by Chunxiao Yu, Dinghui Jing, Chang Fu, Yanfang Yang

“…For the two models, a penalty optimization IGMRES (m) algorithm is proposed, and the influences of different penalty factors on the solution of the whole system are analyzed. …”
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Transformer-based short-term traffic forecasting model considering traffic spatiotemporal correlation by Ande Chang, Yuting Ji, Yiming Bie

“…Traffic forecasting is crucial for a variety of applications, including route optimization, signal management, and travel time estimation. …”
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Current Progress in the Rejuvenation of Aging Stem/Progenitor Cells for Improving the Therapeutic Effectiveness of Myocardial Repair by Gurleen Kaur, Chuanxi Cai

“…Recent literature mainly focuses on three approaches that aim to reverse cardiac aging: genetic modification, pharmaceutical administration, and optimization of extracellular factors. In vitro genetic modification can be used to overexpress or knock down certain genes and allow for reversal of the aging phenotype. …”
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