A study on in-depth perception of customer behavior in digital business halls based on multimodal data integration by Wei Cui, Bo Chen, Wei Ge

“…Abstract To solve the problem of ineffective extraction of advanced features that reflect the essence of customer behavior and enhance customer stickiness. …”
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Fusing Events and Frames with Coordinate Attention Gated Recurrent Unit for Monocular Depth Estimation by Huimei Duan, Chenggang Guo, Yuan Ou

“…Monocular depth estimation is a central problem in computer vision and robot vision, aiming at obtaining the depth information of a scene from a single image. …”
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RGB-D Image Saliency Detection Based on Multi-branch Backbone Supervised Network by WANG Wei-bing, ZHANG Xiao-zhuo, DENG Qiang

“…Aiming at the problem that the existing RGB-D image saliency detection technology is difficult to fully explore the effective information of depth image and can not effectively integrate RGB features and deep features, an RGB-D image saliency detection method under multi-branch backbone supervision network is proposed. …”
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Proposed new signal for real-time stress monitoring: Combination of physiological measures by M. Saidi, H. Hassanpoor, A. Azizi Lari

“…The features are defined in 20-sec time windows. Correlation feature selection and linear regression methods are used for feature selection and feature combination respectively. …”
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Fault Diagnosis of Photovoltaic Grid-connected Inverter Based on Wavelet Analysis by FAN Jinglu, YI Yunlan

“…Aiming to the fault detecting of photovoltaic grid-connected inverter and its intelligent online diagnosis problem, it proposed a C3C3 inverter fault feature extraction method, which used a three-phase inverter output current as a result of judgments based on wavelet analysis, and combines the approximate component and detail component of failure signals as failure feature vector; then used the classification of neural network to complete the fault diagnosis of photovoltaic grid inverters. …”
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Study on the Preprocessing Method of Rolling Bearing Signal based on LFK and Entropy Difference Spectrum Criterion by Yu He, Li Hongru, Sun Jian, Xu Baohua

“…Aiming at the problem that the fault feature of rolling bearing can be easily overwhelmed by random noise,a novel denoising method on the basis of local characteristic- scale decomposition and Fast Kurtogram（ LFK） is presented. …”
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RESEARCH ON GEARBOX FAULT DIAGNOSIS BASE ON ISOMAP AND IGA-SVM by LIU ZhiChuan, TANG LiWei, CAO LiJun

“…A method for optimizing support vector machine（ SVM） parameters was proposed based on isometric feature mapping（ Isomap） and improved genetic algorithm（ IGA）,to solve the problem that parameters are difficult to choose in the process of gearbox fault diagnosis and recognition. …”
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Neural network recognition algorithm of breath sounds based on SVM by Gou-dong LIU, Jing XU

“…A SVM neural network (support vector machines) for breath sounds recognition algorithm was advanced,breath sounds feature obtained through wavelet analysis were input into neural networks and carried on the training to the training samples as a feature of SVM method input in order to classify the test samples.Three States (normal,mild and severe lesions) of breath sounds were recognized,and K nearest neighbor (KNN) methods are compared .The results show that SVM method has a higher recognition accuracy and can be used to recognize different breath sounds,which settled the local extremum problem that cannot be avoided in the neural network method and provide an effective algorithm for information processing in body area network technology.…”
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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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Improved SVM for Fault Diagnosis of Main Converter of Locomotive by 钟燕科

“…Making use of wavelet analysis to process the output voltage, the fault feature had been extracted and the feature vector had been constructed. …”
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State of Charge Prediction for Electric Vehicles Based on Integrated Model Architecture by Min Wei, Yuhang Liu, Haojie Wang, Siquan Yuan, Jie Hu

“…To mitigate multicollinearity and nonlinear feature redundancies, a Pearson-DII-based feature extraction method is proposed. …”
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Outlier Handling Strategy of Ensembled-Based Sequential Convolutional Neural Networks for Sleep Stage Classification by Wei Zhou, Hangyu Zhu, Wei Chen, Chen Chen, Jun Xu

“…These outliers may introduce bias during model training, adversely affecting feature selection and diminishing model performance. …”
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Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms by Huifeng Ning, Faqiang Chen, Yunfeng Su, Hongbin Li, Hengzhong Fan, Junjie Song, Yongsheng Zhang, Litian Hu

“…Data-driven methods, including machine learning (ML) algorithms, can yield a better comprehensive understanding of complex problems under the influence of multiple parameters, typically for how tribological performances and material properties correlate. …”
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PREPARATION OF FUTURE ENGINEER AND PEDAGOGUES TO USE COMMUNICATION TECHNOLOGIES IN VOCATIONAL EDUCATION INSTITUTIONS by Volkova Natallia Val

“…It is concluded the engineer and pedagogues, in accordance with the acquired knowledge of the essence of communicative learning technologies, should be prepared to solve complex and innovative problems within of vocational education institutions. …”
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Targeted nano-energetic material exploration through active learning algorithm implementation by Leandro Carreira, Lea Pillemont, Yasser Sami, Nicolas Richard, Alain Esteve, Matthieu Jonckheere, Carole Rossi

“…But more generally, this research represents a significant advancement for large-scale problems in energetic materials science and engineering, where predicting the effect of feature modification is desired but limited simulations or experiments can be afforded due to their high cost.…”
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Research review on intelligent object detection technology for coal mines based on deep learning by Fan ZHANG, Jiarong ZHANG, Haixing CHENG

“…However, deep learning object detection has a strong dependence on annotated datasets, and there are problems such as poor model interpretability and computational complexity. …”
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Enhanced Panoramic Radiograph-Based Tooth Segmentation and Identification Using an Attention Gate-Based Encoder–Decoder Network by Salih Taha Alperen Özçelik, Hüseyin Üzen, Abdulkadir Şengür, Hüseyin Fırat, Muammer Türkoğlu, Adalet Çelebi, Sema Gül, Nebras M. Sobahi

“…Background: Dental disorders are one of the most important health problems, affecting billions of people all over the world. …”
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Party System Transformation in Central Asian Countries in the Context of Strengthening Political Regimes by Boris P. Guseletov, Nataliya M. Velikaya

“…Introduction. The problems of the development of the political systems of the Central Asian countries have now become particularly relevant in the context of global political tension. …”
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TWO-PARAMETER IRT MODEL APPLICATION TO ASSESS PROBABILISTIC CHARACTERISTICS OF PROHIBITED ITEMS DETECTION BY AVIATION SECURITY SCREENERS by A. K. Volkov, D. V. Aidarkin, A. K. Volkov

“…The suggested complex criterion to assess the level of the aviation security screener qualification allows to evaluate his or her competency taking into account not only the average level qualification, but its possible variance. The important feature of implementing IRT models logistic functions is the necessity of preliminary selection of test images. …”
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Detection algorithm for wearing safety helmet under mine based on improved YOLOv5s by Yuanbin WANG, Sixiong WEI, Huaying WU, Yu DUAN, Meng LIU

“…Aiming at the problems of low accuracy and high missed detection rate of personnel safety helmet detection algorithm caused by complex environment under mine, an improved mine safety helmet detection algorithm based on YOLOv5s is proposed. …”
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