An efficient cost calculation method for disparity estimation of stereo matching considering shadow occlusion by Hongjun Sha, Wei Yuan, Xunping Wang, Xiuliu Yuan, Shunichi Koshimura

“…This research work proposes a novel cost calculation method that considers shadow occlusion areas to address the issues of poor disparity estimation in urban areas, termed Matching Cost based on Shadow Properties (MCSP), error estimation of the shadow occlusion area, which not only considers the problem of disparity error estimation in the shadow occlusion areas but also considers the problem of edge integrity and smoothness in the disparity estimation results. …”
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Development of Impact Factors Reverse Analysis Method for Software Complexes’ Support Automation by Andrii Pukach, Vasyl Teslyuk, Nataliia Lysa, Liubomyr Sikora

“…This research represents a corresponding and developed specialized impact factors reverse analysis method for software complexes’ support automation; it is intended for the analysis of impact factors affecting the supported software’s (or processes of its comprehensive support) subjective perception results, as one of the constituent tasks of the more complex problem of software complexes’ support automation. …”
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LDMP-RENet: Reducing intra-class differences for metal surface defect few-shot semantic segmentation. by Jiyan Zhang, Hanze Ding, Zhangkai Wu, Ming Peng, Yanfang Liu

“…Given their fast generalization capability for unseen classes and segmentation ability at pixel scale, models based on few-shot segmentation perform well in solving data insufficiency problems during metal defect detection and in delineating refined objects under industrial scenarios. …”
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Multiperson Target Dynamic Tracking Method for Athlete Training Based on Wireless Body Area Network by Diandian Du

“…Aiming at the problems of large tracking error and long tracking time in traditional multiperson target dynamic tracking methods, a new method based on wireless body area network for athlete training multiperson target dynamic tracking is proposed. …”
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Defect Diagnosis of Photovoltaic Module Visible Light Images Under Imbalanced Sample Conditions by Huiqing Rao, Qiong Li, Long Chen, Sha Jin, Yong Lu, Zhiguang Li

“…To address the issues of high miss and false detection rates in defect detection of PV (photovoltaic) module visible light images under imbalanced data conditions, an improved data augmentation method based on DCGAN (Deep Convolutional Generative Adversarial Networks) is proposed. …”
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Analysis of printed document identification based on Deep Learning by Dinh Thong Nguyen, Phu Quang Nguyen, Hoang Bao An Mai

“… In this study, we investigate the effectiveness of ResNet, a deep neural network architecture, for a deep learning approach to address the problem of printed document identification. ResNet is known for its ability to handle the vanishing gradient problem and learn highly representative features. …”
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Analysis of printed document identification based on Deep Learning by Dinh Thong Nguyen, Phu Quang Nguyen, Hoang Bao An Mai

“… In this study, we investigate the effectiveness of ResNet, a deep neural network architecture, for a deep learning approach to address the problem of printed document identification. ResNet is known for its ability to handle the vanishing gradient problem and learn highly representative features. …”
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Research on chaotic secure communication system based on all optical chaos injection double-loop electro-optical phase feedback loop by ZHOU Xuefang, WANG Fei, YANG Guowei, BI Meihua, XU Mengmeng, HU Miao

“…To solve the problem of large feedback gain coefficient required for delay feature hiding in existing chaotic secure laser communication systems, a chaotic secure communication system based on all optical chaos injection double-loop electro-optical phase feedback loop was designed. …”
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CTAO sensitivity to axion-like particles by Schiavone Francesco, Di Venere Leonardo, Giordano Francesco

“…Axion-like particles (ALPs) are a common feature in several extensions of the StandardModel, arising, for example, as a solution to the strong CP problem in quantum chromodynamics, or as a prediction of string theories. …”
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Object Ontologies as a Priori Models for Logical-Probabilistic Machine Learning by D. N. Gavrilin, A.V. Mantsivoda

“…The combination of LPML and object ontologies is capable of solving the forecasting problems, the tasks of automated control, problem detection, decision making, and business process synthesis. …”
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Can the anisotropic hydraulic conductivity of an aquifer be determined using surface displacement data? A case studyZenodo by Sona Salehian Ghamsari, Tonie van Dam, Jack S. Hale

“…Under suitable model assumptions, our results show that anisotropy in the hydraulic problem leads to a distinctive elliptical surface displacement pattern centered around the pumping well that could be detected with InSAR. …”
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Clinical-immunological parallels in chronic renal Failure in children by G. A. Makovetskaya, O. V. Borisova, L. I. Mazur, I. V. Barinov

“…The main  clinical-anamnestic features at different stages of CKD are shown. Clinical-immunological correlations  were carried out, hypoimmune state of both cellular and humoral  links of immunity was detected in CRF.…”
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The radiation from ultrafast point dipoles, moving uniformly near chiral media by V. N. Kadantsev

“…The article discusses the features of the radiation of ultrafast point clusters of charged particles moving uniformly near a gyrotropic medium interface. …”
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Early repolarization syndrome in modern interpretation by T. V. Ashcheulova, N. M. Herasymchuk, I. V. Sytina

“…The Shanghai scale for the diagnosis of early repolarization syndrome, as well as the etiology, electrophysiology of early repolarization syndrome, its modern classification and electrocardiographic signs are presented. The features of early repolarization syndrome in athletes and in children, as well as the features of its treatment and prevention are shown. …”
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Multi-factor person entity relation extraction model based on distant supervision by Yangchen HUANG, Yan JIA, Liang GAN, Jing XU, Jiuming HUANG, Zhonghe HE

“…Aiming at the problem that the basic assumption of distant supervision was too strong and easy to produce noise data,a model of the person entity relation extraction which could automatically filter the training data generated by distant supervision was proposed.For training data generation,the data produced by distant supervision would be filtered by multiple instance learning and the method of TF-IDF-based relation keyword detecting,which tried to make the training data has the manual annotation quality.Furthermore,the model combined lexical and syntactic features to extract the effective relation feature vector from two angles of words and semantics for classifier.The experiment results on large scale real-world datasets show that the proposed model outperforms other relation extraction methods which based on distant supervision.…”
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Fault Diagnosis of Gearbox Bearings of High-speed Train Based on the SVD-MOMEDA by Dan ZHU, Yanchen SU, Chunguang YAN

“…Aiming at problems of high-speed train gearbox bearing fault signals being difficult to detect under strong noise background, and the problem that the multipoint optimal minimum entropy deconvolution adjusted(MOMEDA) method was affected by the order of filter and the period of impulse signal, an improved MOMEDA method for bearing fault diagnosis based on singular value decomposition(SVD) was proposed. …”
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Citrus Disease Classification Model Based on Improved ConvNeXt by Jichi Yan, Yongbin Mo, Yannan Yu, Shiqing Dou, Rongfeng Yang

“…Early diagnosis of citrus diseases directly affects the yield and quality of citrus cultivation, and a citrus disease classification model based on improved ConvNeXt is proposed to address the problems of high cost and low efficiency of traditional citrus disease detection methods. …”
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Improving the Incident Management Process Based on a Use Case Approach by A. A. Mikryukov, A. V. Kuular

“…The article considers the process approach to incident management in case of technical failures and its main stages: detection, response, investigation, elimination, resolution. …”
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Honeyword Generation Using a Proposed Discrete Salp Swarm Algorithm by Yasser A. Yasser, Ahmed T. Sadiq, Wasim AlHamdani

“…SSA has been used to solve a variety of optimization problems. The presented honeyword generation method will improve the generation process, improve honeyword features, and overcome the issues of previous techniques. …”
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Propagating Bright Knots in the Chromospheric Fibrils by Shaoxuan Tong, Jun Zhang, Tao Ding

“…The solar chromosphere is a crucial layer for resolving the problem of atmospheric heating. There are many bright features, which are considered as the thermal signals for heating the atmosphere, and these features are suggested to have resulted from either magnetic reconnection or wave dissipation. …”
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