Features of Clinical Course of Acute Period of Myocardial Infarction in Patients with Atrial Fibrillation and Their Influence on Cardiac Hemodynamics and Prognosis by Shved M., Sydorenko O., Kovbasa N.

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FEATURES OF WRITTEN LANGUAGE COMMUNICATION BY MEANS OF THE UKRAINIAN LANGUAGE (on the example of official-business, epistolary and conversational-functional styles) by Catherine S. Bondarchuk, Olha A. Chumachenko

“…Achieving this goal involves a number of tasks: 1) to outline the features of construction, placement of details, language tools of business letters; 2) to study the structure and linguistic richness of Lesya Ukrainka’s letters; 3) identify typical and different linguistic and stylistic means of business and private letters; 4) analyze the features of messages transmitted using instant messaging programs Viber and Telegram; 5) to investigate the influence of gender on the features of language means of various forms of written communication. …”
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Hematological features of mine-blast trauma, accompanied by acubarotrauma, among servicemen - participants in high-intensity combat operations by S. A. Husieva, G. V. Osyodlo, I. P. Goncharov, O. Ya. Antonyuk, Yu. Ya. Kotyk, A. V. Gusev, М. Е. Krol, I. V. Malysh, Ya. M. Klimenko, S. V. Ткаchenko

“…In patients with ear injury, a significant increase in the total number of leukocytes and the absolute number of segmented neutrophils was observed compared to patients in the control group. A feature of the peripheral blood of patients with ear injury was a significant increase (p<0,05) in the absolute number of monocytes (0.7±0.36×10⁹/l) compared to the results of the control group (0.29±0.11×10⁹/l). …”
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Features of correction of vitamin D deficiency in patients with diabetic kidney disease: the role of vitamin D-binding protein by V.M. Yerokhovych, O.V. Karpenko, Ye.I. Ilkiv, N.M. Kobyliak, I.A. Paliienko, I.V. Krasiuk, Iu.I. Komisarenko

“…The relevance of the problem of kidney damage in diabetes mellitus (DM) lies in the annual progressive growth in the number of affected people. …”
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PALM VEIN PATTERN BIOMETRIC AUTHENTICATION TECHNOLOGY by S. O. Baranov, D. B. Abramov

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Method of unknown protocol classification based on autoencoder by Chunxiang GU, Weisen WU, Ya’nan SHI, Guangsong LI

“…Aiming at the problem that a large number of unknown protocols exist in the Internet,which makes it very difficult to manage and maintain the network security,a classification and identification method of unknown protocols was proposed.Combined with the autoencoder technology and the improved K-means clustering technology,the unknown protocol was classified and identified for the network traffic.The autoencoder was used to reduce dimensionality and select features of network traffic,clustering technology was used to classify the dimensionality reduction data unsupervised,and finally unsupervised recognition and classification of network traffic were realized.Experimental results show that the classification effect is better than the traditional K-means,DBSCAN,GMM algorithm,and has higher efficiency.…”
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Method of unknown protocol classification based on autoencoder by Chunxiang GU, Weisen WU, Ya’nan SHI, Guangsong LI

“…Aiming at the problem that a large number of unknown protocols exist in the Internet,which makes it very difficult to manage and maintain the network security,a classification and identification method of unknown protocols was proposed.Combined with the autoencoder technology and the improved K-means clustering technology,the unknown protocol was classified and identified for the network traffic.The autoencoder was used to reduce dimensionality and select features of network traffic,clustering technology was used to classify the dimensionality reduction data unsupervised,and finally unsupervised recognition and classification of network traffic were realized.Experimental results show that the classification effect is better than the traditional K-means,DBSCAN,GMM algorithm,and has higher efficiency.…”
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基于透视不变二值特征描述子的图像匹配算法 by Li-chuan GENG, Song-zhi SU, Shao-zi LI

“…Current local feature based image matching algorithms are usually less robust to image perspective transformation.Aiming to solve this problem，a new perspective invariant binary code (PIBC) based image matching algorithm is proposed.Firstly，FAST corners are detected on the pyramid images，those corners with non-maximum Harris corner response value and the edge points are further eliminated.And then，by simulating the perspective transformations of images taken from different viewpoints，a single FAST corner is described with binary descriptors under different viewpoint transformations，which makes the descriptor could describe the identical feature point on different perspective transform images.Experimental results show its robustness to image perspective transformation，while its complexity is similar with SURF.…”
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Mobile platform continuous authentication scheme based on gait characteristics by Li YANG, Zhuoru MA, Chenghui ZHANG, Qingqi PEI

“…The popularity of smart phones renders people extremely high requirements for safety.But the traditional one-time authentication method can’t continuously guarantee the security of equipment.To solve the problem,a continuous authentication scheme based on gait characteristics was proposed to realize the identification of current visitors.Moving average filtering,threshold-based useful information interception method and other operations were adopted to reduce noise interference.Template interception was used to maximize the utilization of information,and an optimal combination of time domain features and frequency domain features were proposed to reduce the storage space requirement of users’ information.Finally,the support vector machine realized the identity authentication function.Experiments show that the proposed scheme can effectively authenticate the identities of visitors.…”
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基于透视不变二值特征描述子的图像匹配算法 by Li-chuan GENG, Song-zhi SU, Shao-zi LI

“…Current local feature based image matching algorithms are usually less robust to image perspective transformation.Aiming to solve this problem，a new perspective invariant binary code (PIBC) based image matching algorithm is proposed.Firstly，FAST corners are detected on the pyramid images，those corners with non-maximum Harris corner response value and the edge points are further eliminated.And then，by simulating the perspective transformations of images taken from different viewpoints，a single FAST corner is described with binary descriptors under different viewpoint transformations，which makes the descriptor could describe the identical feature point on different perspective transform images.Experimental results show its robustness to image perspective transformation，while its complexity is similar with SURF.…”
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Rore: robust and efficient antioxidant protein classification via a novel dimensionality reduction strategy based on learning of fewer features by Chaolu Meng, Yongqi Hou, Quan Zou, Lei Shi, Xi Su, Ying Ju

“…This approach significantly preserves the original information and overcomes the information loss problem associated with previous feature selection. …”
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A Framework for Efficient N-Way Interaction Testing in Case/Control Studies With Categorical Data by Aristos Aristodimou, Athos Antoniades, Efthimios Dardiotis, Eleni Loizidou, George Spyrou, Christina Votsi, Christodoulou Kyproula, Marios Pantzaris, Nikolaos Grigoriadis, Georgios Hadjigeorgiou, Theodoros Kyriakides, Constantinos Pattichi

“…The first two steps of the framework are quality control and feature selection. The next step uses clustering and binary encodes the features. …”
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Double Cost Sensitive Random Forest Algorithm by ZHOU Yan-long, SUN Guang-lu

“…A Double Cost Sensitive Random Forest (DCS-RF) algorithm is proposed to solve the problem that the accuracy of a few classes is not ideal when the classifier identifies unbalanced data. …”
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Technologies and Algorithms for Building the Augmented Reality by I. A. Blagoveshchenskiy, N. A. Demyankov

“…Main attention is payed to the problem of making projection of a 3D model on the marker’s plane. …”
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Software Defect Prediction For Quality Evaluation Using Learning Techniques Ensemble Stacking by Muhammad Romadhona Kusuma, Windu Gata, Sigit Kurniawan, Dedi Dwi Saputra, Supriadi Panggabean

“…The preprocessing process involved label encoding, feature selection with Pearson correlation, standard normalization, and the use of SMOTE to handle data imbalance. …”
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Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning by Muhammad Asim Saleem, Ashir Javeed, Watit Benjapolakul, Wattanasak Srisiri, Surachai Chaitusaney, Pasu Kaewplung

“…This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction model (N-XGB), a hybrid model that combines neural networks (NN) for feature extraction with XGBoost for classification. …”
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Recognition of Impact Load on Connecting-Shaft Rotor System Based on Motor Current Signal Analysis by Kun Zhang, Zhaojian Yang, Qingbao Bao, Jianwen Zhang

“…These findings indicate that using the motor current as the analysis signal can solve the problem of the difficult layout for traditional vibration sensors in rolling sites. …”
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Grape cluster detection based on spatial-to-depth convolution and attention mechanism by Shuai Rong, Xinghai Kong, Ruibo Gao, Zhiwei Hu, Hua Yang

“…Secondly, based on the problem of information loss in grape cluster detection, a plug-and-play module of spatial-to-depth convolution (STD-Conv) is added to enrich grape cluster feature information. …”
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Enhancing the data processing speed of a deep-learning-based three-dimensional single molecule localization algorithm (FD-DeepLoc) with a combination of feature compression and pip... by Shuhao Guo, Jiaxun Lin, Yingjun Zhang, Zhen-Li Huang

“…This new algorithm uses the feature compression method to reduce the parameters of the model, and combines it with pipeline programming to accelerate the inference process of the deep learning model. …”
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GCV-SLAM: Ground Constrained Visual SLAM Through Local Ground Planes by Yu Fan, Peng Zhang, Zhi Wang, Chengbao Liu, Guang Zhang

“…To avoid the over-parameterization problem in the graph-factor-based optimization process, the Closest Point(CP) representation is adopted to describe the local ground plane. …”
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