Research on Feature Extracted Method for Flutter Test Based on EMD and CNN by Hua Zheng, Zhenglong Wu, Shiqiang Duan, Jiangtao Zhou

“…The measured signals from a wind tunnel test were manually labeled “flutter” and “no-flutter” as the foundational dataset for the deep learning algorithm. After the normalized preprocessing, the intrinsic mode functions (IMFs) of the flutter test signals are obtained by the EMD method. …”
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Modeling of CO2 solubility and partial pressure in blended diisopropanolamine and 2-amino-2-methylpropanol solutions via response surface methodology and artificial neural network by Zohreh Khoshraftar

“…The accuracy of the predictions was notably high, with coefficients of determination of 0.99581 for CO2 solubility and 0.99839 for CO2 partial pressure, achieved using the Levenberg-Marquardt algorithm. Upon further analysis, it was concluded that the MLP model exhibited the lowest error rates, with mean square errors of 0.00009085 for CO2 solubility and 0.00316632 for CO2 partial pressure. …”
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Research on CSI feedback and precoding in FDD cell-free massive MIMO systems by ZHANG Dekun, BAI Baoming

“…During the downlink scheduling phase, real-time multi-user interference elimination precoding within clusters was designed on the basis of the signal-to-leakage-and-noise ratio (SLNR) algorithm. The two were cascaded to form the optimized downlink precoding weight values for each user. …”
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A novel arc detection and identification method in pantograph-catenary system based on deep learning by Yue Yan, Hu Liu, Linfeng Gan, Runtong Zhu

“…In order to adapt to arcs with large size differences and improve detection efficiency, the guided anchor is selected to adjust the anchor generation algorithm. In terms of dataset, continuous frame images are intercepted from the video of Integrated Supervision and Control System (ISCS), and image preprocessing operations are performed to improve the model’s detection accuracy of pantograph arcs. …”
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Integrated Planning for Shared Electric Vehicle System Considering Carbon Emission Reduction by Xiaohui Sun, Yumei Mi, Askar Ahtam, Zhi Zuo

“…By applying these models to the Chicago Sketch network and using a genetic algorithm to solve the models, it is concluded that the optimal outlet location solution considering carbon emission reduction will increase the outlet construction cost and user travel time cost. …”
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The use of ethanol as contrast enhancer in synchrotron X-ray phase-contrast imaging leads to heterogeneous myocardial tissue shrinkage: a case report by Gabriel Bernardino, Àngels Calvet-Mirabent, Hector Dejea, Eduard Guasch, Anne Bonnin, Patricia Garcia-Canadilla

“…Then, to determine local deformation of the heart caused by ethanol dehydration, the related 3D tomographic datasets were registered by means of a non-rigid registration algorithm. Finally, changes on the orientation and organization of myocytes were assessed. …”
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Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data by H. T. Rüdisser, A. Windisch, U. V. Amerstorfer, C. Möstl, T. Amerstorfer, R. L. Bailey, M. A. Reiss

“…Out of the 640 ICMEs, 466 were detected correctly by our algorithm, producing a total of 254 false positives. …”
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Spinal Instrumentation in the Setting of Nontuberculous Spondylodiscitis: A Prospective Analysis by Himanshu Prasad, P. V. Satyanarayana Murthy, Vamsi K Varma, A. V. Gurava Reddy

“…Purpose: The purpose of this study was to evaluate the efficacy of surgical treatment in nontuberculous spondylodiscitis and its effects on the functional and radiological outcomes and define a treatment algorithm. Overview of Literature: Most of the available literature on surgical management of nontuberculous spondylodiscitis is retrospective in nature. …”
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Evaluating land use ımpact on evapotranspiration in Yellow River Basin China through a novel GSEBAL model: a remote sensing perspective by Sheheryar Khan, Wang Huiliang, Umer Nauman, Muhammad Waseem Boota, Zening Wu

“…This study estimates ET using GSEBAL, an advanced ET estimation algorithm. Google Earth Engine integrates the surface energy balance model-based GSEBAL. …”
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IoT Network Anomaly Detection in Smart Homes Using Machine Learning by Nadeem Sarwar, Imran Sarwar Bajwa, Muhammad Zunnurain Hussain, Muhammad Ibrahim, Khizra Saleem

“…Results show Random Forest algorithm outperforms enough to use this methodology in smart environments.…”
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Multiple Morphological Constraints-Based Complex Gland Segmentation in Colorectal Cancer Pathology Image Analysis by Kun Zhang, JunHong Fu, Liang Hua, Peijian Zhang, Yeqin Shao, Sheng Xu, Huiyu Zhou, Li Chen, Jing Wang

“…We compare the performance of the proposed algorithm against that of several state-of-the-art technologies on publicly available datasets. …”
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Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data by Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Cong-Hai Lu, Ling-Yun Dai, Xiang-Zhen Kong

“…It is a reliable and efficient clustering algorithm for cancer sample clustering.…”
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Evaluation of Network Security Service Provider Using 2-Tuple Linguistic Complex q-Rung Orthopair Fuzzy COPRAS Method by Sumera Naz, Muhammad Akram, Mohammed M. Ali Al-Shamiri, Muhammad Ramzan Saeed

“…In comparison with existing approaches, the developed decision-making algorithm is most extensively used and reduces the loss of information.…”
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Clinical Validation of Adjusted Corneal Power in Patients with Previous Myopic Lasik Surgery by Vicente J. Camps, David P. Piñero, Veronica Mateo, Celia García, Alberto Artola, Rafael Pérez-Cambrodi, Pedro Ruiz-Fortes

“…This retrospective study comprised 62 eyes of 62 patients that had undergone myopic LASIK surgery. An algorithm for the calculation of nkadj was used for the estimation of the adjusted keratometric corneal power (Pkadj). …”
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Sustainability of the state system in the context of digital transformation by V. A. Kornilovich, K. A. Aramyan, A. V. Milekhin, A. V. Mironov

“…These processes relate to social self-organization and are characteristic of the adaptive algorithm of social changes. At the same time, changes in system parameters do not violate the contours of the existing state system. …”
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Exploring potential therapeutic targets for small cell lung cancer based on transcriptomics combined with Mendelian randomization analysis by Zhicheng Liao, Pengcheng Jia, Yifan Li, Zhihui Zheng, Jizhou Zhang

“…In addition, the CIBERSORT algorithm was applied to assess the level of immune cell infiltration in SCLC and to analyze the correlation between CEGs and immune cells. …”
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Application of Solutions of Uncorrected Tasksʼ Theory for Managing of Production Processesʼ Robustness by P. S. Serenkov, V. M. Romanchak, I. E. Pesliak

“…Adamar.We have developed a two-step algorithm for ensuring the robustness of production processes at the stage of their development. …”
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Optimization Design and Feasibility Analysis of Electromagnetic Direct Drive Transmission by Yu Xiao, Ge Wenqing, LI Bo, Tan Cao, Jiang Xiaohan

“…In order to obtain the target of maximum shifting force and shifting force volatility，the parameters of the shifting actuator are optimized by the annealing particle swarm-finite element algorithm. The shifting mechanism of the electromagnetic direct drive transmission is studied for modeling and simulation of shift process in stages. …”
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Formulas for Generalized Two-Qubit Separability Probabilities by Paul B. Slater

“…Applications of Zeilberger’s algorithm yield “concise” forms of Q(-1,α), Q(1,α), and Q(3,α), parallel to the one obtained previously (Slater 2013) for P(0,α)=2Q(0,α). …”
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Predicting noncoding RNA and disease associations using multigraph contrastive learning by Si-Lin Sun, Yue-Yi Jiang, Jun-Ping Yang, Yu-Han Xiu, Anas Bilal, Hai-Xia Long

“…The second step involves down sampling using the K-means clustering algorithm to balance the positive and negative samples. …”
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