Pediatric Ovarian Growing Teratoma Syndrome by Rebecca M. Rentea, Aaron Varghese, Atif Ahmed, Alexander Kats, Michelle Manalang, Tazim Dowlut-McElroy, Richard J. Hendrickson

“…We review in detail the history, diagnostic algorithm, and previous reported pediatric cases as well as treatment options for pediatric patients with GTS.…”
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About probability of error detection of unauthorized impacts on pipeline with active vibroacoustic method of control by A. A. Fedotov, Yu. G. Malinovskiy

“…The conclusion is made about the consistency of the proposed algorithm for identifying the type of unauthorized exposure.…”
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Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model by Pan Zhang, Shaogui Deng, Xiyong Yuan, Fen Liu, Weibiao Xie

“…By leveraging the symmetry of simulated signals in the spectral domain, the algorithm reduces computation time by 50%, significantly enhancing computational efficiency while preserving accuracy. …”
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Compressive sampling–based ultrasonic computerized tomography technique for damage detection in concrete-filled steel tube in a bridge by Binbin Li, Bo Liu, Fan Xu, Yang Liu, Wentao Wang, Tao Yang

“…And in the imaging phase, ℓ 1 -norm minimization optimization algorithm is used to reconstruct the internal damage, rendering the sparest solution related to the physical damages. …”
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Application of Two-Dimensional Compressive Sensing to Wavelet Method of Moments for Fast Analysis of Wide-Angle Electromagnetic Scattering Problems by Yi Liu, Qi Qi, Xinyuan Cao, Mingsheng Chen, Guoqing Deng, Zhixiang Huang, Xianliang Wu

“…Finally, after completing the other side of the bilateral sparse transform, the wide-angle problems can be solved rapidly by two times of recovery algorithm with prior knowledge. The basic principle is elaborated in detail, and the effectiveness is demonstrated by numerical experiments.…”
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Application of the Professional Psychological Quest in the Professional Training of Police Officers by N. E. Miloradova, N. Ye. Tverdokhliebova

“…It is noted that the basis of the police quest is the situational method, the content of which is aimed at mastering the algorithm of actions by the cadets associated with the implementation of the service tasks of the police. …”
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Design Optimization of a Multistage Axial Flow Compressor Based on Full-Blade Surface Parameterization and Phased Strategy by Jinxin Cheng, Shengfeng Zhao, Zhaohui Dong, Chengwu Yang

“…The method mainly contains three aspects: full-blade surface parametrization can significantly reduce the number of control variables per blade row and increase the degrees of freedom of the leading edge blade angle compared with the traditional semiblade parametric method; secondly, the artificial bee colony algorithm improved initialization and food source exploration and exploitation mechanism to enhance the global optimization ability and convergence speed, and a distributed optimization system is built on the supercomputing platform based on this method; finally, a phased optimization strategy based on the “synchronous change in multirow blades” is proposed, and expert experience is introduced to achieve a better balance between exploration and exploitation. …”
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Long-Term Precipitation Analysis and Estimation of Precipitation Concentration Index Using Three Support Vector Machine Methods by Milan Gocic, Shahaboddin Shamshirband, Zaidi Razak, Dalibor Petković, Sudheer Ch, Slavisa Trajkovic

“…For the purpose of PCI prediction, three Support Vector Machine (SVM) models, namely, SVM coupled with the discrete wavelet transform (SVM-Wavelet), the firefly algorithm (SVM-FFA), and using the radial basis function (SVM-RBF), were developed and used. …”
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Customized Bus Route Optimization with the Real-Time Data by Kai Huang, Lin Xu, Yao Chen, Qixiu Cheng, Kun An

“…To improve computation efficiency, a real-time search algorithm is proposed that the neighboring buses are tested one by one. …”
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A new -means singular value decomposition method based on self-adaptive matching pursuit and its application in fault diagnosis of rolling bearing weak fault by Hongchao Wang, Wenliao Du

“…To overcome the above-mentioned shortcomings of K -means singular value decomposition, a new K -means singular value decomposition sparse representation method based on traditional K -means singular value decomposition method was proposed in this article, which uses the sparse adaptive matching pursuit algorithm and an iterative method based on the minimum similarity of atomic structure. …”
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FMCW-based contactless heart rate monitoring by Zhanjun Hao, Yifei Gao, Yangyang Tang, Yue Wang, Kai Fan, Fenfang Li

“…Secondly, an adaptive variational mode decomposition (A-VMD) algorithm was designed to extract the heartbeat signal, considering signal variations caused by random body movements and respiration and their harmonics, to obtain an accurate heartbeat signal. …”
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Selection of sampling sites in Germany for the International Moss Survey 2020 using statistics and decision modelling by Stefan Nickel, Winfried Schröder

“…To ensure methodological transparency and objectivity, a procedure based on statistical methods and decision modelling was developed for this purpose. The decision algorithm enabled taking into account a large number of technical criteria. …”
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Empirical mode decomposition/Hilbert transform analysis of postural responses to small amplitude anterior-posterior sinusoidal translations of varying frequencies by Rakesh Pilkar, Erik M. Bollt, Charles Robinson

“…The Empirical Mode Decomposition (EMD) algorithm decomposes the Center of Pressure (CoP) data (5 young, 4 mature adults) into Intrinsic Mode Functions (IMFs). …”
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Effect of Friction Coefficient in Friction Stir Welding of B4C Reinforced AA5083 Metal Matrix Composites and Use of Fuzzy Clustering Technique for Weld Strength Prediction by C. Devanathan, D. Elil Raja, Tushar Sonar, Mikhail Ivanov

“…The influence of the friction coefficient on ultimate tensile strength, microstructural features, and tool condition was studied, and the flower pollination algorithm (FPA) technique was used to find the best process parameters for obtaining maximum ultimate tensile strength of FSW joints. …”
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Artificial neural network analysis of Jeffrey hybrid nanofluid with gyrotactic microorganisms for optimizing solar thermal collector efficiency by Anup Kumar, Bhupendra K. Sharma, Bandar Almohsen, Laura M. Pérez, Kamil Urbanowicz

“…The artificial neural network is also developed for the non-dimensional governing equations using the Levenberg Marquardt algorithm. Numerical findings corresponding to the diverse parameters influencing the nanofluid flow and heat transfer are presented in the graphs. …”
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Data-Driven Method for Predicting Soil Pressure of Foot Blades within a Large Underwater Caisson by Can Huang, Hao Zhu, Kunyao Li, Jianxin Zheng, Hao Li, Jiaming Li, Yao Xiao

“…Furthermore, by improving the splitting method of the original Classification and Regression Tree (CART) algorithm, a single model’s numerical prediction of 80-foot blades soil pressures is realized. …”
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A Model for Vehicle Routing Problem under Returns and Emission Consideration in B2C E-Commerce Logistics by Sedat Belbağ

“…A clustering-based solution algorithm has been introduced to solve large-sized instances within reasonable solution times.Findings: The numerical analysis for the base case shows that the suggested model can assist decision-makers in coordinating forward distribution and reverse collection decisions within the context of sustainable e-commerce logistics. …”
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Identification and Validation of a Novel Immune Infiltration-Based Diagnostic Score for Early Detection of Hepatocellular Carcinoma by Machine-Learning Strategies by Xuli Guo, Hailin Xiong, Shaoting Dong, Xiaobing Wei

“…Two machine learning algorithms were used to develop diagnostic signatures. …”
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Application of deconvolutional networks for feature interpretability in epilepsy detection by Sihao Shao, Yu Zhou, Ruiheng Wu, Aiping Yang, Qiang Li

“…Even automated detection algorithms are already available to assist clinicians in reviewing EEG data, many algorithms used for seizure detection in epilepsy fail to account for the contributions of different channels. …”
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Using ecological niche modeling to determine avian richness hotspots by R. Mirzaei, M.R. Hemami, A. Esmaili Sari, H.R. Rezaei, A.T. Peterson

“…Ecological niche modeling was used to determine distributions of 144 bird species across the province using a maximum entropy algorithm. Richness maps across all birds, and separately for rare and threatened species, were prepared as approximations to hotspots. …”
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