Human activity recognition algorithm based on the spatial feature for WBAN by Chi JIN, Zhijun LI, Dayang SUN, Fengye HU

“…Traditional image-based activity recognition algorithms have some problems,such as high computational cost,numerous blind spots and easy privacy leakage.To solve the problem above,the CCLA (convolution-convolutional long short-term memory-attention) activity recognition algorithm based on the acceleration and gyroscope data was proposed.The convolutional neural network was used to extract spatial features of activity data and got the hidden time series information from the convolutional long short-term memory network.Simulating human brain selecting attention mechanism,attention-encoder was constructed to extract the spatial and temporal features at a higher level.The CCLA algorithm was tested on UCI-HAPT (university of California Irvine-smartphone-based recognition of human activities and postural transitions) public data set,and realized the classification of 12 types of activity with the accuracy of 93.27%.…”
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FEATURING THE SECOND REPUBLIC OF LITHUANIA: THE END OF CULTURATI AND THE RISE OF THE POSTMODERN by Marius Povilas Povilas Šaulauskas

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FEATURING THE SECOND REPUBLIC OF LITHUANIA: THE END OF CULTURATI AND THE RISE OF THE POSTMODERN by Marius Povilas Povilas Šaulauskas

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FEATURES OF MANAGEMENT OF KEY AREAS OF SOCIO-ECONOMIC SYSTEM OF THE REGION by Elena Aleksandrovna Kolesnichenko, Yana Yurievna Radyukova, Dmitry Petrovich Eliseev

“…The article considers theoretical and methodological features of the implementation of state management of key sectors of the socio-economic system of the region. …”
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Features of Intergenerational Family Communication of Millennials with Their Parents: Attitude to Marriage by Olga Nikolaevna Salangina

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FEATURING THE SECOND REPUBLIC OF LITHUANIA: THE END OF CULTURATI AND THE RISE OF THE POSTMODERN by Marius Povilas Povilas Šaulauskas

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FEATURES OF STAFF MOTIVATION NON-PROFIT DIVISIONS OF UKRAINIAN BANKS by O. E. Kostiuchenko, V. A. Pomazan

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Multi-label feature selection based on dynamic graph Laplacian by Yonghao LI, Liang HU, Ping ZHANG, Wanfu GAO

“…In view of the problems that graph-based multi-label feature selection methods ignore the dynamic change of graph Laplacian matrix, as well as such methods employ logical-value labels to guide feature selection process and loses label information, a multi-label feature selection method based on both dynamic graph Laplacian matrix and real-value labels was proposed.The robust low-dimensional space of feature matrix was used to construct a dynamic graph Laplacian matrix, and the robust low-dimensional space was used as the real-value label space.Furthermore, manifold and non-negative constraints were adopted to transform logical labels into real-valued labels to address the issues mentioned above.The proposed method was compared to three multi-label feature selection methods on nine multi-label benchmark data sets in experiments.The experimental results demonstrate that the proposed multi-label feature selection method can obtain the higher quality feature subset and achieve good classification performance.…”
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Chemical-physical features of the biochar-based oil-destructive sorbent by A. V. Khokhlov

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Features of state support of industrial enterprises under sanctions pressure by Ya. A. Grabovsky

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Dermatoglyphical and psychophisiological features in practically healthyadolescents of Podilya Region of Ukraine by V. M. Moroz, I. V. Gunas, I. V. Serheta

“…The following problems were evaluated for consciousness of our aim: 1) practically healthy adolescents of the slovyan ethnic group of the third line, which live in Podilya Region of Ukraine, were selected after complex researches; 2) important dermatoglyphical features of the teenagers were studied; 3) psychophisiological characteristics of boys and girls were explored. …”
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Multi-label feature selection based on dynamic graph Laplacian by Yonghao LI, Liang HU, Ping ZHANG, Wanfu GAO

“…In view of the problems that graph-based multi-label feature selection methods ignore the dynamic change of graph Laplacian matrix, as well as such methods employ logical-value labels to guide feature selection process and loses label information, a multi-label feature selection method based on both dynamic graph Laplacian matrix and real-value labels was proposed.The robust low-dimensional space of feature matrix was used to construct a dynamic graph Laplacian matrix, and the robust low-dimensional space was used as the real-value label space.Furthermore, manifold and non-negative constraints were adopted to transform logical labels into real-valued labels to address the issues mentioned above.The proposed method was compared to three multi-label feature selection methods on nine multi-label benchmark data sets in experiments.The experimental results demonstrate that the proposed multi-label feature selection method can obtain the higher quality feature subset and achieve good classification performance.…”
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Experience of pleasure and emotional expression in individuals with schizotypal personality features. by Yan-fang Shi, Yi Wang, Xiao-yan Cao, Ya Wang, Yu-na Wang, Ji-gang Zong, Ting Xu, Vincent W S Tse, Xiao-lu Hsi, William S Stone, Simon S Y Lui, Eric F C Cheung, Raymond C K Chan

“…Difficulties in feeling pleasure and expressing emotions are one of the key features of schizophrenia spectrum conditions, and are significant contributors to constricted interpersonal interactions. …”
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Features of E-Learning of Personnel in Small and Medium-Sized Businesses by A. A. Paskova

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Features of the Water Policy of Armenia and Azerbaijan: A Comparative Analysis by Larisa M. Aleksanyan

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Psychological features in panic disorder: a comparison with major depression by Almeida Yasmin A., Nardi Antonio E.

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Features of Postgraduate Programs’ Reforming as an Issue for Scientific and Pedagogical Discussion by V. S. Senashenko

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Peculiar features of the clinical course of reflux disease in diabetic patients by Natalya Vyacheslavovna Korneeva, Yury Leonidovich Fedorchenko

“…To elucidate peculiar features of the clinical course of gastroesophageal reflux disease (GERD) in patients with type 1 and 2 diabetes mellitus(DM1 and DM2). …”
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Features of economic sectors development in mountain territories of the Republic of Dagestan by A. M. Esetova, I. K. Kerimov

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Features of the influence of practicing various sports on the organs of the gastrointestinal tract by V. A. Akhmedov, D. A. Gavrilenko

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