On maximum residual block Kaczmarz method for solving large consistent linear systems by Wen-Ning Sun, Mei Qin

“…This method completes the iterative process by projecting the current solution vector onto each row of the constrained subset of the matrix $ A $ and averaging it with different extrapolation steps. …”
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Research on Hyperspectral Image Reconstruction Based on GISMT Compressed Sensing and Interspectral Prediction by Sheng Cang, Achuan Wang

“…According to the prediction algorithm, the corresponding difference vector is obtained and the predicted measured value is iteratively updated by the difference vector until the hyperspectral reconstructed image of the relevant general band is finally reconstructed. …”
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Technique of Overlap Extension by Polymerase Chain Reaction for Splicing Cauliflower Mosaic Virus (CaMV) 35S Promoter and DhPEX11-Like by Silvi Ikawati, Yung Fu Yen

“…The problem is some of binary vector that absence from promoter at cloning site. …”
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Machine Learning-Based Modelling and Predictive Maintenance of Turning Operation under Cooling/Lubrication for Manufacturing Systems by Gurpreet Singh, Jothi Prabha Appadurai, Varatharaju Perumal, K. Kavita, T. Ch Anil Kumar, DVSSSV Prasad, A. Azhagu Jaisudhan Pazhani, K. Umamaheswari

“…Every production and manufacturing needs to develop a technology, i.e., a cooling or lubrication system at the cutting zone while doing the metal cutting process. This current work focuses on developing the machine learning algorithm by using three different types of regression processes, namely, polynomial regression process (PR), support vector regression (SVR), and gaussian process regression (GPR). …”
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Evaluation of Different Machine Learning Models for Predicting Soil Erosion in Tropical Sloping Lands of Northeast Vietnam by Tuan Vu Dinh, Nhat-Duc Hoang, Xuan-Linh Tran

“…This study evaluates possibility of predicting erosion status by machine learning models, including fuzzy k-nearest neighbor (FKNN), artificial neural network (ANN), support vector machine (SVM), least squares support vector machine (LSSVM), and relevance vector machine (RVM). …”
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Comparative Analysis of Machine learning Methods to Identify signs of suspicious Transactions of Credit Institutions and Their Clients by Yu. M. Beketnova

“…The author applies support vector machine and neural network methods, Bayesian networks (Two-Class Bayes Point Machine), and anomaly search — an algorithm of a One-Class Support Vector Machine and a PCA-Based Anomaly Detection algorithm. …”
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A state evaluation and fault diagnosis strategy for substation relay protection system integrating multiple intelligent algorithms by Jiajun Wang, Shiyi Jing, Yu Yao, Kunlun Wang, Bo Li

“…This study introduces a new diagnostic framework that combines improved particle swarm optimization, K‐means clustering algorithms, support vector machine (SVM), and learning vector quantization neural networks to provide a comprehensive fault diagnosis and prediction model for relay protection systems. …”
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Comparison of Patterns Shapes and Patterns Texture for Identification of Malaria Parasites in Microscopic Image by Jani Kusanti, Yusuf Zain Santosa

“…The comparison is based on the characteristics of the pattern used, the steps being taken in this study is the image quality improvement process, the process of segmentation with Otsu method, feature extraction process on the image data to be tested. …”
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PPP IN RUSSIA. GENERAL STATUS AND IMPLEMENTATION by V. Laktionov

“…Analysis of such a process as PPP is necessary at this time, since it could help solve the problems of the Russian economy associated with various crisis manifestations. …”
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Release note: VBFNLO 3.0 by Julien Baglio, Francisco Campanario, Tinghua Chen, Heiko Dietrich-Siebert, Terrance Figy, Matthias Kerner, Michael Kubocz, Duc Ninh Le, Maximilian Löschner, Simon Plätzer, Michael Rauch, Ivan Rosario, Robin Roth, Dieter Zeppenfeld

“…An interface according to the Binoth Les Houches Accord (BLHA) has been added for all VBF and di/tri-boson processes including fully leptonic decays. For all dimension-8 operators affecting vector boson scattering (VBS) processes, a modified T-matrix unitarization procedure has been implemented. …”
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REGISTRATION OF SURFACE ACOUSTIC WAVES in Z-SECTIONS of PIEZOELECTRIC SINGLE CRYSTALS ZnO and CdS by I. V. Linchevsky, M. V. Chursanova

“…The subjects of this research are the internal electric field and the electric polarization vector, both existing in the volume of a deformed piezoelectric crystal. …”
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Virulent Properties of Russian Bovine Viral Diarrhea Virus Strains in Experimentally Infected Calves by Alexander G. Glotov, Tatyana I. Glotova, Svetlana V. Koteneva, Olga V. Semenova, Alexander A. Sergeev, Ksenya A. Titova, Anastasia A. Morozova, Artemiy A. Sergeev

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Improving long‐tail classification via decoupling and regularisation by Shuzheng Gao, Chaozheng Wang, Cuiyun Gao, Wenjian Luo, Peiyi Han, Qing Liao, Guandong Xu

“…To tackle these challenges, the authors first thoroughly analyse the classifier and feature space by decoupling the classification logits into three key components: classifier norm (i.e. the magnitude of the classifier vector), feature norm (i.e. the magnitude of the feature vector), and cosine similarity between the classifier vector and feature vector. …”
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Free vibrations of a Continuous-discrete multi-span Beam taking into account inertial Rotation Forces by H. P. Kulterbaev, M. M. Payzulaev, Sh. A. Omarov

“…Analysis of the curves shows that the standard deviations significantly depend on the degree of correlation of the components of the vector random process of disturbances. The use of modern computing computer systems such as Matlab allows us to successfully combine the advantages of both numerical and graphical methods.…”
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A Recommendation Algorithm Incorporating Adaptive Gating Mechanisms and Knowledge Graph Enhancements by Yi Yu, Teng Lv

“…First, GAKR uses a Multilayer Perceptron (MLP) in the recommendation module to process the user’s initial feature vector and extract potentially compressible features. …”
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A density-based MS disease diagnosis model using the capuchin search algorithm and an ensemble of deep neural networks by LiJuan Bai, Jiao Wu, Li Chen, Xin Jiang, ZhuYin Song

“…This means that in this process, the vector and topology of the deep neural network are adjusted using the CapSA algorithm in such a way that the training error is minimized. …”
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Site-directed mutagenesis of Aspergillus niger phytase gene and its cell-surface display on Komagataella phaffii by YU Daobing, CHENG Xuesong, WANG Qun, SHI Yanke, ZHANG Xin

“…This characteristic of strain A61 can overcome deactivation during the process of granulating at 60 to 90℃ and better meet the demand in animal feed and food processing.…”
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Optimizing T cell transduction: a novel transduction device for efficient and scalable gene delivery by Kang-Zheng Lee, Tan Dai Nguyen, Dan Liu

“…TransB improves cell-virus interactions by facilitating proximity between target cells and viral vectors. Results TransB demonstrated up to 1-fold decrease in processing time, 3-fold reduction in viral vector consumption, and 0.7-fold increase in transduction efficiency compared to 24—well plate method for donor T cell transduction in studies evaluating its impact on transduction process. …”
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Fast access authentication scheme for mobile IPv6 hierarchical network by Shan-shan SONG, Tao SHANG, Jian-wei LIU

“…Firstly, the scheme used the vector network address coding method to improve the home registration performance. …”
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Fast access authentication scheme for mobile IPv6 hierarchical network by Shan-shan SONG, Tao SHANG, Jian-wei LIU

“…Firstly, the scheme used the vector network address coding method to improve the home registration performance. …”
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