Megapixel X-ray ghost imaging with a prior-recorded reference by Jie Tang, Jie Tang, Jie Tang, Haipeng Zhang, Changzhe Zhao, Changzhe Zhao, Changzhe Zhao, Nixi Zhao, Nixi Zhao, Nixi Zhao, Jianwen Wu, Jianwen Wu, Jianwen Wu, Han Guo, Tiqiao Xiao, Tiqiao Xiao

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Sparsity induced convex nonnegative matrix factorization algorithm with manifold regularization by Feiyue QIU, Bowen CHEN, Tieming CHEN, Guodao ZHANG

“…To address problems that the effectiveness of feature learned from real noisy data by classical nonnegative matrix factorization method,a novel sparsity induced manifold regularized convex nonnegative matrix factorization algorithm (SGCNMF) was proposed.Based on manifold regularization,the L<sub>2,1</sub>norm was introduced to the basis matrix of low dimensional subspace as sparse constraint.The multiplicative update rules were given and the convergence of the algorithm was analyzed.Clustering experiment was designed to verify the effectiveness of learned features within various of noisy environments.The empirical study based on K-means clustering shows that the sparse constraint reduces the representation of noisy features and the new method is better than the 8 similar algorithms with stronger robustness to a variable extent.…”
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Image Super-Resolution via Adaptive Regularization Term of Compressed Sensing by Yintao Liu, Chao Ren, Hongjuan Shao, Qirui Liu, Yan Zhang

“…., obtain high-dimensional information from low-dimensional information. This feature has shown effectiveness in image super-resolution. …”
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Adversarial Graph Regularized Deep Nonnegative Matrix Factorization for Data Representation by Songtao Li, Weigang Li, Yang Li

“…Specifically, for the purpose of effectively learning low-dimensional representations of data. This work constructs a deep NMF method to approximate the coding structure of the original data, which enables AGDNMF to learn the hierarchical mapping relationship between the categories of the original data, and learn the hidden association information of the data from low-to-high in the middle layer. …”
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Flow characteristics of jojoba biogasoline and its blends with regular gasoline or methanol by Ahmed T Ansari, Mamdouh T Ghannam, Emad Elnajjar, Mohamed Y.E. Selim

“…The results show that at low temperatures, the viscosity of biogasoline is slightly higher than that of regular gasoline, but this difference vanishes at higher temperatures. …”
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On the regularity of metonymy across languages (exemplified on some metonymies in medical discourse by Mario Brdar

“… The topic of metonymy regularity has cropped up in several recent articles, a welcome sign of growing interest in this phenomenon, which may eventually contribute towards shedding more light on the phenomenon of metonymic competence, paralleling metaphoric competence (Lit-tlemore & Low, 2006). …”
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On the regularity of metonymy across languages (exemplified on some metonymies in medical discourse) by Brdar Mario

“…The topic of metonymy regularity has cropped up in several recent articles, a welcome sign of growing interest in this phenomenon, which may eventually contribute towards shedding more light on the phenomenon of metonymic competence, paralleling metaphoric competence (Littlemore & Low, 2006). …”
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ML-Empowered Microservice Workload Prediction by Dual-Regularized Matrix Factorization by Xiaoxuan Luo, Hong Shen, Wei Ke

“…It models the workload matrix as the product of a microservice dependency matrix <i>W</i> and workload feature matrix <i>X</i> applying matrix factorization, and computes <i>X</i> by temporal regularization and <i>W</i> by low-rank norm regularization as a convex relaxation of rank minimization. …”
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Capturing Aerosol Particles in a Device with a Regular Pulsating Nozzle by Kozii I. S., Plyatsuk L. D., Hurets L. L., Volnenko A. A.

“…The paper is dedicated to reducing the technogenic impact on the environment of using highly efficient apparatus for the complex exhaust gas treatment, operating in the advanced turbulence regime – an apparatus with a regular pulsating nozzle (RPN). Devices with on-load tap-changers are characterized by high efficiency of capturing solid particles of different dispersion (e.g., fog, dust, and smoke), the possibility of self-cleaning of contact elements from sticky dust, low material consumption, and high reliability in operation. …”
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White dwarfs in regularized 4D Einstein-Gauss-Bonnet gravity by Juan M.Z. Pretel, Takol Tangphati, İzzet Sakallı, Ayan Banerjee

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Regularity and mechanisms of water-sand inrushes within mining-activated faults by Shichuan ZHANG, Pu HUANG, Yangyang LI, Chenggong WANG, Zhenhua WU

“…Hence, it is significant to systematical investigate the regularity of water-sand inrushes within faults under the combined effects of multiple factors. …”
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An evaluation of flow-routing algorithms for calculating contributing area on regular grids by A. B. Prescott, J. D. Pelletier, S. Chataut, S. Ananthanarayan

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Effect of Regular Exercise on Anxiety and Loneliness of Rural Empty Nest Elderly by LIU Chuanshun, TONG Meiqizi, XU Yangfan, SHEN Longbin, CHEN Zhuoming

“…The participation rate of regular exercise in the experimental group was 97.37%. …”
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Resolution Improvement Method of Azimuth Gamma Imaging Logging Based on Regularization Constraint by YU Huawei, ZHAO Shuai, YUE Xizhou, LI Guoyu, SHAO Cairui, XIAO Hongbing, CHEN Jinhong

“…The azimuth gamma logging while drilling can be used for formation radioactive intensity analysis, geo-steering and reservoir interface identification, but it is greatly affected by statistical errors, resulting in low resolution of curves and imaging. Especially in the formations with low contrast, this effect is more pronounced. …”
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Model-based iterative reconstruction with adaptive regularization for artifact reduction in electron tomography by Singanallur Venkatakrishnan, Obaidullah Rahman, Lynda Amichi, Jose D. Arregui-Mena, Haoran Yu, David A. Cullen, Amirkoushyar Ziabari

“…However, significant challenges arise due to the limited tilt range, sparse and low signal-to-noise ratio of the measurements. In addition, small metal particles can cause strong streaking and shading artifacts in the 3D reconstructions when using conventional reconstruction algorithms due to the presence of Bragg diffraction and the large scattering cross-section difference between the materials of the particles and the background support regions. …”
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Linear Total Variation Approximate Regularized Nuclear Norm Optimization for Matrix Completion by Xu Han, Jiasong Wu, Lu Wang, Yang Chen, Lotfi Senhadji, Huazhong Shu

“…However, the visual data, such as images, is rich in texture which may not be well approximated by low rank constraint. In this paper, we propose a novel matrix completion method, which combines the nuclear norm with the local geometric regularizer to solve the problem of matrix completion for redundant texture images. …”
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Evaluation and optimisation of regular RC frame structures of varying heights with graphene oxide by David Dominguez-Santos, Pedro Muñoz Velasco

“…Abstract Frame structures are commonly used in places with low seismic activity. Their structural behaviour is characterised by low rigidity and lateral resistance, due to the small sections of the supporting elements (columns), and for this reason, this structural typology requires the help of rigid elements such as filler, structural walls, or other bracing elements. …”
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Regularization by neural style transfer for MRI field-transfer reconstruction with limited data by Guoyao Shen, Guoyao Shen, Yancheng Zhu, Mengyu Li, Mengyu Li, Ryan McNaughton, Ryan McNaughton, Hernan Jara, Sean B. Andersson, Sean B. Andersson, Chad W. Farris, Stephan Anderson, Stephan Anderson, Xin Zhang, Xin Zhang, Xin Zhang, Xin Zhang, Xin Zhang

“…RNST generates high-field-quality images from low-field inputs without requiring paired training data, leveraging style priors to address limited-data settings. …”
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Instrumental Variable Method for Regularized Estimation in Generalized Linear Measurement Error Models by Lin Xue, Liqun Wang

“…Regularized regression methods have attracted much attention in the literature, mainly due to its application in high-dimensional variable selection problems. …”
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exoALMA. IX. Regularized Maximum Likelihood Imaging of Non-Keplerian Features by Brianna Zawadzki, Ian Czekala, Maria Galloway-Sprietsma, Jaehan Bae, Marcelo Barraza-Alfaro, Myriam Benisty, Gianni Cataldi, Pietro Curone, Stefano Facchini, Daniele Fasano, Mario Flock, Misato Fukagawa, Himanshi Garg, Cassandra Hall, Thomas Hilder, Jane Huang, John D. Ilee, Andrea Isella, Andrés F. Izquierdo, Kazuhiro Kanagawa, Geoffroy Lesur, Cristiano Longarini, Ryan A. Loomis, Ryuta Orihara, Christophe Pinte, Daniel J. Price, Giovanni Rosotti, Jochen Stadler, Richard Teague, Hsi-Wei Yen, Gaylor Wafflard-Fernandez, David J. Wilner, Andrew J. Winter, Lisa Wölfer, Tomohiro C. Yoshida

“…As these features are often small and low-contrast, robust imaging procedures are critical for identifying and characterizing NKFs, including determining which features may be signatures of young planets. …”
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