Energy Consumption Prediction Model for Electric Buses Considering Actual Quantifiable Features by Guowei Zhu, Miao Shi, Jia He

“…A new simple method is proposed to deal with un-ordered characteristic data to solve the problem of quantifying the influencing factors. The energy consumption prediction model considering actual quantifiable features utilizes the concept of distance to identify several historical trips that have characteristics most similar to the predicted trip in terms of energy consumption. …”
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FEATURES OF USING OF ENERGY STORAGE BASED MULTI-ELEMENT LITHIUM-ION BATTERY by D. V. Serdechnyy, Yu. B. Tomashevskiy

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Research on Book Recommendation Integrating Book Category Features and User Attribute Information by Yan Chen, Eric Blancaflor, Mideth Abisado

“…Aiming at the problem of poor recommendation effect caused by data sparsity in traditional collaborative filtering algorithm in book recommendation, this study proposes a personalized recommendation model (BCF-UAI) that combines book category features and user attribute information, aiming to improve the accuracy and generalization ability of the recommendation system. …”
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Heterogeneous Information Networks Node Similarity Measurement Based on Feature Sub-Graph by Biao Zhang, Chuan Li, Hongyu Xu, Yanmei Li, Ning Yang, Qian Luo

“…To solve the problem in measuring the similarity of heterogeneous information networks, a similarity measuring algorithm was proposed. …”
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Methodological features of the development of the communicative competence of local general practitioner in preventive counseling by S. Yu. Astanina, A. M. Kalinina, R. N. Shepel, O. M. Drapkina

“…There is a contradiction between the need of teachers of internal medicine departments in the methodology for communicative competence (CC) of general practitioners in brief preventive counseling and the lack of evidence-based classes on CC formation in brief preventive counseling.The existing contradiction made it possible to identify the research problem — the need to develop a methodology for the development of CC of general practitioners in brief preventive counseling.In the context of the problem, the study aim was determined — to define the methodological features of CC formation in the general practitioner in brief preventive counseling.To achieve this goal, the following research methods were used: theoretical: theoretical analysis of philosophical, pedagogical, psychological and methodological literature; designing the educational process; experimental: direct and indirect pedagogical observation, pedagogical experiment, questioning, control sections.The methodological features of CC formation are the simultaneous development of the intellectual and emotional fields of the doctor’s personality (communication skills in conducting all stages of brief preventive counseling) and the volitional field of the doctor’s personality (belief in the need to master the CC of doctor-patient interaction).The method of doctor’s CC development is based on the technology of educational training. …”
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Features of professional activity of an academic staff in the conditions of a digital educational environment by Ludmila Vladimirovna Chistobaeva

“…The search for a solution to the identified contradiction allows us to formulate the research problem: what are the features of the professional activity of academic staff in a digital educational environment that affect its effectiveness?…”
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Psychological Features of Test-taking Anxiety in Adolescent Students and Practices for its Reduction by Petar Neshev

“…The article examines the psychological features of test-taking anxiety in adolescent students. …”
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Development of a multi-object tracking algorithm with untrained features of object matching by V.A. Gorbachev, V.F. Kalugin

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Specific features of the clinical picture, diagnosis, and treatment of trophoblastic tumor of the placental bed by D. A. Lisaev, B. O. Toloknov, E. E. Makhova, T. I. Zakharova, I. V. Markina

“…The tumor occurs at a repro- ductive age (median age 30 years), occasionally even long after pregnancy, which makes the problem of diagnosis and treatment of the pathology particularly pressing. …”
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Some Features of Diagnostic Research of Short Handwriting Objects Performed in the Armenian Language by M. A. Aloyan

“…The author emphasizes that the expertise of these objects due to their small volume is a highly complex identification problem. The article pays special attention to short notes made in the Armenian language, highlighting and describing their specific features such as the degree of compression, slowing down the pace of movement with an unreasonable stop of the writing instrument, presence of blunt initial and final strokes. …”
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THE EARLY DIAGNOSIS AND CLINICAL FEATURES OF AXIAL SPONDYLOARTHRITIS AT THE EUROPEAN CONGRESS OF RHEUMATOLOGY 2015 by E. E. Gubar, Sh. F. Erdes

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Fault Diagnosis of Roller Bearing based on Hybrid Feature Set and Weighted KNN by Chen Fafa, Li Mian, Chen Baojia, Chen Congping

“…Aiming at the problem that the roller bearings early fault features are faint that difficult to be effectively identified,a fault diagnosis method of roller bearing based on hybrid feature set and weighted K- nearest- neighbor（ KNN） is proposed. …”
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Feature selection algorithm based on improved particle swarm joint taboo search by Zhen ZHANG, Peng WEI, Yufeng LI, Julong LAN, Ping XU, Bo CHEN

“…To solve the problem of high data feature dimensionality in intrusion detection, a feature selection algorithm based on improved particle swarm optimization taboo search (IPSO-TS) was proposed. …”
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Feature Extraction of Weak Fault for Rolling Bearing based on Spectral Kurtosis and MOMEDA by Fuwang Liang, Huer Sun, Kexin Liu

“…Aiming at the problem that the early periodic transient impulse of rolling bearings is not obvious and the spectral kurtosis is poorly analyzed under low signal-to-noise ratio， a method of extracting the weak fault features of rolling bearing based on the combination of multipoint optimal minimum entropy deconvolution adjusted （MOMEDA） and spectral kurtosis is proposed. …”
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Feature Extraction of Weak Fault of Rolling Bearing based on TVF-EMD and TEO by Kexin Liu, Huer Sun, Fuwang Liang

“…Aiming at the problem that the vibration signals for rotating machinery rotors are usually accompanied by strong noise， it is difficult to extract its effective information. …”
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Reordering Features with Weights Fusion in Multiclass and Multiple-Kernel Speech Emotion Recognition by Xiaoqing Jiang, Kewen Xia, Lingyin Wang, Yongliang Lin

“…The selection of feature subset is a crucial aspect in speech emotion recognition problem. …”
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Feature Extraction of Weak Fault for Rolling Bearing based on Improved SSD Denoising by Xupeng Wang, Huer Sun

“…Aiming at the problem of early weak fault features of rolling bearings are difficult to be extracted under strong background noise and the components decomposed by the singular spectral decomposition method still contain noise，a method of extracting the weak fault features of rolling bearing based on the combination of singular spectrum decomposition （SSD） and maximum cyclostationarity blind deconvolution （CYCBD） is proposed. …”
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Steganographer identification of JPEG image based on feature selection and graph convolutional representation by Qianqian ZHANG, Yi ZHANG, Hao LI, Yuanyuan MA, Xiangyang LUO

“…Aiming at the problem that the feature dimension of JPEG image steganalysis is too high, which leads to the complexity of distance calculation between users and a decrease in the identification performance of the steganographer, a method for steganographer recognition based on feature selection and graph convolutional representation was proposed.Firstly, the steganalysis features of the user’s images were extracted, and the feature subset with highseparability was selected.Then, the users were represented as a graph, and the features of users were obtained by training the graph convolutional neural network.Finally, because inter-class separability and intra-class aggregation were considered, the features of users that could capture the differences between users were learned.For steganographers who use JPEG steganography, such as nsF5, UED, J-UNIWARD, and so on, to embed secret information in images, the proposed method can reduce the feature dimensions and computing.The identification accuracy of various payloads can reach more than 80.4%, and it has an obvious advantage at the low payload.…”
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Study on Application of CYCBD based on PSO in Fault Feature Extraction of Rolling Bearing by Yutao Liu, Huer Sun

“…The blind deconvolution based on cyclostationarity maximization （CYCBD） is applied to solve the problem that the periodic transient impacts is not obvious at the initial stage of rolling bearing failure under background noise. …”
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A New Approach for Clustered MCs Classification with Sparse Features Learning and TWSVM by Xin-Sheng Zhang

“…We formulate this classification problem as sparse feature learning based classification on behalf of the test samples with a set of training samples, which are also known as a “vocabulary” of visual parts. …”
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