Dual-verified secure localization method for unmanned intelligent vehicles by GU Xiaodan, XIA Guozheng, SONG Bingchen, YANG Ming, LUO Junzhou

“…Once an abnormal position was detected, an alert would be issued, ensuring the normal operation of the unmanned intelligent vehicles. …”
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Cooperative play classification in team sports via semi-supervised learning by Ziyi Zhang, Takeda Kazuya, Fujii Keisuke

“…Classifying multi-agent cooperative behavior is a fundamental problem in various scientific and engineering domains. …”
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Assessing the quality of medical care and developing the ratings of health services: experience of using Medicare program in the USA by N. S. Grigorieva

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MINIMAL CEREBRAL DYSFUNCTION: PREVALENCE, RISK FACTORS, CLINICAL, NEUROPHYSIOLOGICAL AND NEUROPSYCHOPHYSIOLOGICAL ASPECTS by S. Y. Lavrik, S. V. Domitrak, V. V. Shprakh

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Comparative analysis of clinical characteristics of symptomatic pituitary adenomas in elderly patients: a consecutive series of 114 patients by Run Wang, Xiaodi Han, Cheng Xie, Qinghua Zhang, Liang Kan, Sheng Han

“…However, in elderly patients, the disease progression renders some clinical features difficult to detect and identify in time. …”
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Dextrocardia: Clinical Vignettes by Ramesh Aggarwal, Shridhar Dwivedi

“…Dextrocardia, cardiac dextroposition, and situs inversus generally remain asymptomatic and are detected incidentally by imaging studies done for reasons other than cardiovascular system related problems. …”
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Prioritizing image processing and big data analytics factors for software development using DEMATEL-choquet method in bipolar complex fuzzy context by Ruimin Ma

“…The causal effects indicate that feature extraction, automation and efficiency, as well as object detection, are critical causal factors, whereas image enhancement, security, and segmentation are dependent effects. …”
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Dual-verified secure localization method for unmanned intelligent vehicles by GU Xiaodan, XIA Guozheng, SONG Bingchen, YANG Ming, LUO Junzhou

“…Once an abnormal position was detected, an alert would be issued, ensuring the normal operation of the unmanned intelligent vehicles. …”
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NEUROPSYCHIATRIC DISORDERS IN JUVENILE-ONSET SYSTEMIC LUPUS ERYTHEMATOSUS: RESULTS FROM A RETROSPECTIVE STUDY by M. I. Kaleda, I. P. Nikishina, S. I. Glukhova, N. Yu. Stepanenko

“…Neurolupus was significantly more often detected in 46.7% of patients with acute SLE (p=0.003). …”
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Prevalence and spatial distributions of trachomatous inflammation-follicular among children aged 1–9 years in rural areas of Yilmana Densa and Gonji Kolela districts, Northwestern... by Misganaw Alelign, Asmamaw Malede, Eshetu Shifaw, Tesfahun Taddege, Yideg Abinew, Metadel Adane

“…In hot spot spatial analysis, fourteen hot spot clusters were detected. Eight clusters were detected as significantly clustered from those fourteen hot spot areas at the 99% confidence level. …”
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Ultra-low-noise hybrid III–V/Si3N4 laser achieving wide-range wavelength switching by Yilin Wu, Shuai Shao, Sigang Yang, Hongwei Chen, Minghua Chen

“…Here, we address these problems by demonstrating a stress-optic-actuated hybrid III–V/Si3N4 laser. …”
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A new optical method for control in visible light of volatile hydrocarbon media and their mixtures using data from light-shadow boundary images by V.V. Davydov, D.V. Vakorina, G.V. Stepanenkov

“…We substantiate a need for developing an optical method for the rapid analysis of mixtures of volatile hydrocarbon media. Problems that arise during the express-evaluation of the state of mixtures composed of volatile hydrocarbon media using refraction-based techniques are outlined. …”
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Comparative study of soft neurological signs in patients of schizophrenia and bipolar disorder at a tertiary care center by Ravi Kishore Sadula, Aparna Meda, Sudharani Kesavareddy, Umashankar Molanguri

“…Background: The study of neurological soft signs (NSSs) is a simple, clinical, inexpensive, and direct method of investigation for schizophrenia and bipolar disorders which are the major mental health problems that require early detection and treatment. …”
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Fault diagnosis model of rolling bearings based on the M-YOLO network by NING Shaohui, ZHANG Shaopeng, WU Yukun, DU Yue, FAN Xiaoning

“…Finally, the traditional Dropout structure was replaced by Dropblock, and more refined optimization was carried out from the spatial and temporal levels to improve the robustness and diagnostic accuracy of the model.ResultsThe test results show that the diagnosis results of the M-YOLO diagnostic model are significantly higher than those of the traditional fault diagnosis methods, and the frequency-domain conversion feature image has better robustness than the time-domain image, which is more suitable for the training and classification of the object detection model.…”
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Presenting a Novel Hybrid Approach of Text Mining Sentiment Analysis in Twitter Using CART Decision Tree by Nasir Tayarani, Mehrdad Jalali

“…CART is very effective in processing discrete and continuous data in text mining. The unique CART feature is a complex data structure analysis that can support regression as well as classification operations, according to the input of the problem. …”
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ESTIMATING PEASANT FARMS INCOME AND THE STANDARD OF LIVING OF A RURAL POPULATION BASED ON MULTI-FACTORIAL ECONOMETRIC MODELING: A CASE STUDY OF UKRAINE by Mykola DZIAMULYCH, Tetiana SHMATKOVSKA, Antonina GORDIICHUK, Myroslava KUPYRA, Tetiana KOROBCHUK

“…According to the results of the study it is established, that all the selected factors showed a direct or inverse relationship with the change in the productive feature. In order to determine the density of the detected relationship, using a Microsoft Excel processor, we developed a multifactor correlationregression model and calculated its main statistical characteristics. …”
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Implementasi Algoritma Haversine Pada Absensi Kepegawaian Berbasis Android by Hidayatul Sidiq, Deni Satria, Humaira

“…However, errors often occur during scanning because the scanner cannot detect someone's finger when the scanner is dirty. …”
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“VTMine for Visio”: Graphical Tool for Modeling in Process Mining by Sergey A. Shershakov

“…These problems are studied by the discipline called “Process Mining”.The practical application of the process mining methods and practices is carried out using the specialized software for data analysts. …”
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AI-Powered Precision in Diagnosing Tomato Leaf Diseases by MD Jiabul Hoque, Md. Saiful Islam, Md. Khaliluzzaman

“…Correct detection of plant diseases is critical for enhancing crop yield and quality. …”
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RRBM-YOLO: Research on Efficient and Lightweight Convolutional Neural Networks for Underground Coal Gangue Identification by Yutong Wang, Ziming Kou, Cong Han, Yuchen Qin

“…Coal gangue identification is the primary step in coal flow initial screening, which mainly faces problems such as low identification efficiency, complex algorithms, and high hardware requirements. …”
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