A Wi-Fi sensing method for complex continuous human activities based on CNN-BiGRU by Yang LIU, Anming DONG, Jiguo YU, Kai ZHAO, You ZHOU

“…Human activity sensing based on Wi-Fi channel state information (CSI) has an important application prospect in future intelligent interaction scenarios such as virtual reality, intelligent games, and the metaverse.Accurate sensing of complex and continuous human activities is an important challenge for Wi-Fi sensing.Convolutional neural network (CNN) has the ability of spatial feature extraction but is poor at modeling the temporal features of the data.While long short-term memory (LSTM) network or gated recurrent unit (GRU) network, which are suitable for modeling time-series data, neglect learning spatial features of data.In order to solve this problem, an improved CNN that integrates bidirectional gated recurrent unit (BiGRU) network was proposed.The bi-directional feature extraction ability of BiGRU was used to capture the correlation and dependence of the front and back information in the time series data.The extraction of the spatiotemporal features of the time series CSI data was realized, and then the mapping relationship between the action and the CSI data was present.Thus the recognition accuracy of the complex continuous action was improved.The proposed network structure was tested with basketball actions.The results show that the recognition accuracy of this method is above 95% under various conditions.Compared with the traditional multi-layer perceptron (MLP), CNN, LSTM, GRU, and attention based bidirectional long short-term memory (ABLSTM) baseline methods, the recognition accuracy has been improved by 1%～20%.…”
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Individual encounter prediction based on mobile internet record data by Qian LI, Hao JIANG, Jintao YANG

“…Studies on human movement behavior have drawn much attention with the availability of unprecedented amount of records with high accuracy involving individuals’ trajectories.The encounter prediction problem based on the session data generated by users’ mobile terminal was studied when users accessed the internet for data usage.Firstly,the network based on the encounter relations between users was constructed.Secondly,the network topology features were analyzed and user mobility characteristics and user internet behavior characteristics were introduced.Finally,the prediction model based on random forest was applied.The experimental results show that compared with the traditional network topology features,the prediction performance can be significantly improved by introducing the user mobility characteristics and user internet behavior characteristics.…”
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Sex differences in pediatric major depressive episodes: a cross-sectional study on psychiatric symptoms in early-onset mood disorders by Massimo Apicella, Massimo Apicella, Elisa Andracchio, Giorgia Della Santa, Caterina Lanza, Clotilde Guidetti, Clotilde Guidetti, Monia Trasolini, Maria Elena Iannoni, Gino Maglio, Stefano Vicari, Stefano Vicari, Giulia Serra

“…A high clinical sensitivity is needed for highlighting subtle mixed and/or atypical features in severe MDEs among girls.…”
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Multibranch Network for Addressing Intraclass Variation in Remote Sensing Building Detection by Ryuhei Hamaguchi

“…Previous methods solved the problem by learning single structured and shared feature space with regularization. …”
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DEVELOPMENT OF INNOVATION MANAGEMENT THEORY BASED ON SYSTEM-WIDE REGULARITIES by Violetta N. Volkova, Era A. Kozlovskaja, Alexandra V. Loginova, Elena A. Yakovleva

“…The problem of a comprehension of the innovation management theory and an ability of its development on basis of system theory is set up. …”
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The learning process of physical education lessons in education through virtual education by mahyar yarahmadi, Habib Honari, Meysam Shabaninia

“…The results of the research showed that the design of the virtual training model of physical education in Iran includes the problems of conducting physical education lessons in virtual space, the lack of supervision and concentration in virtual education, the lack of proper communication between professors and students, the coverage of virtual classes, economic issues, weakness of software and hardware technology, Internet and its infrastructure problems, benefits of information technology in virtual education, superior characteristics of virtual education, weakness in establishing friendship and communication, insufficient knowledge of the space and capabilities of virtual education, problems of virtual education of the lesson of physical education, weakness in network communication and infrastructural barriers, use of new educational technologies, problems of virtual learning, capabilities of virtual learning, and the reasons for the importance and superiority of virtual learning. …”
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A Multi-Scale Hybrid Scene Geometric Similarity Measurement Method Using Heterogeneous Graph Neural Network by Chongya Gong, Tinghua Ai, Shiyu Chen, Tianyuan Xiao, Huafei Yu

“…Through neural networks, projection matrices can be learned to convert points, polylines, and polygons into the same type of object, thereby enabling the use of single-scene geometric measurement methods (e.g., Graph Neural Networks) to solve the problem. However, the key challenge in using Graph Neural Networks for similarity measurement is learning the adjacency relationships between geometric features. …”
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PRODUCTION OF SEMI-HARD CHEESES FROM A MIXTURE OF GOAT'S AND COW'S MILK by N. V. Romanova, E. V. Ivanova

“…At the beginning of the article, the distinctive features of the physico-chemical composition of the milk of these two mammals and the influence of milk components on the technological features of cheese production are noted. …”
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Reproductologist’s current views on etiopathogenesis and treatment of uterine leiomyoma by N. V. Avramenko, D. E. Barkovsky, O. V. Kabachenko, D. V. Letsin

“…There are data about molecular biology, genetics and immunehistochemistry features of diagnostic and treatment of the uterine leiomyoma in the article. …”
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Practices of Social Work with Migrants in Russia: Expert Assessments by E. A. Kovtun, V. P. Miletskiy

“…Regulation of social adaptation of migrants is one of the most important issues of state migration and social policy. One of the problems in the process of adaptation of migrants is the lack of a systematic approach to solving the problems faced by migrants in the host society. …”
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Technical solution for purifying emissions of climate-active gases by A. Yu. Briukhanov, E. V. Vasilev, S. A. Egorov

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Determination of Plant Developmental Stability in Plant Lighting with Hyperspectral Imaging by S. A. Rakutko, E. N. Rakutko, A. P. Mishanov

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Loneliness of the old age and ways to overcome it by Olena Kovalenko

“…The article is devoted to the analysis of elderly loneliness and its features. The difference between loneliness and isolation and solitude is determined. …”
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Fault Severity Recognition of Rolling Bearing based on Compensation Distance Evaluation Technique and Grey Relational Analysis by Liu Peng, Li Hongru, Wang Weiguo, Xu Baohua

“…By utilizing the compensation distance evaluation technique to choose features sensitive to fault severity from the high dimensional feature set,and weights such sensitive features according to their sensitive degree. …”
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TRENDS IN HUMAN CAPITAL FORMATION AND EVALUATION OF THE INTERCONNECTION OF SOCIO-DEMOGRAPHIC PROCESSES IN RURAL AREA: A CASE STUDY OF VOLYN REGION, UKRAINE by Tetiana SHMATKOVSKA, Mykola DZIAMULYCH, Antonina GORDIICHUK, Nataliia MOSTOVENKO, Natallia CHYZH, Tetiana KOROBCHUK

“…The features of the rural settlement network. Democratic reproduction processes for the rural population for 1989 – 2018, its regional features and patterns of the settlement are analyzed. …”
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Classification Using Artificial Neural Network of Knot Images on Wood by İbrahim Çetiner

“…Then, these features are classified with back propagation multilayer neural networks. …”
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Dynamic Difficulty Adjustment (DDA) in Computer Games: A Review by Mohammad Zohaib

“…DDA attempts to solve this problem by presenting a customized solution for the gamers. …”
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QL-STCT: an intelligent routing convergence method for SDN link failure by Chuanhuang LI, Yangting CHEN, Jingjing TANG, Jiali LOU, Renhua XIE, Chuntao FANG, Weiming WANG, Chao CHEN

“…Aiming at the problem of routing convergence when SDN link failure occurs, a Q-Learning sub-topological convergence technique (QL-STCT) was proposed to realize intelligent route convergence when SDN links fail.Firstly, some nodes were selected in the network as hub nodes and divides the hub domains according to the hub nodes, and the regional features were constructed with the hub domain as the unit.Secondly, the reinforcement learning agent exploration strategy was proposed by using the features to accelerate the convergence of reinforcement learning.Finally, a sub-topology network was constructed through reinforcement learning to plan the alternate path and ensure the performance of the alternate path in the periodic window.Experimental simulation results show that the proposed method effectively improves the convergence speed and performance of the link failure network.…”
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Former aux compétences interculturelles en école d’ingénieur by Marc Weisser

“…Finally, two dedicated training methods are proposed, taking into account both the targeted audiences and the features of university pedagogy (i.e. critical incident learning and problem-based learning).…”
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Concentric Circular Antenna Array Synthesis Using Biogeography Based Optimization by Urvinder Singh, Tara Kamal

“…BBO utilizes migration operator to share information between the problem solutions. The problem solutions are known as habitats and sharing of features is called migration. …”
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