The Application of Machine Learning to Educational Process Data Analysis: A Systematic Review by Jing Huang, Yan Ping Xin, Hua Hua Chang

“…Persistent challenges, including feature extraction and interpreting results for practical applications, are also discussed. …”
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Intelligent Fault Severity Detection of Rotating Machines Based on VMD-WVD and Parameter-Optimized DBN by Ning Jia, Yao Cheng, Youyuan Tian, Feiyu Yang

“…Compared with BPNN, the traditional DBN, VMD-DBN, VMD-PSO-DBN, and other methods, the proposed algorithm has strong adaptive feature extraction ability and generalization of application.…”
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Integrating fuzzy Kano model and fuzzy importance–performance analysis to analyse the attractive factors of new products by Le Xi, Hui Zhang, Sunan Li, Jianxin Cheng

“…Fuzzy importance–performance analysis is a more accurate quantitative–qualitative method for two-dimensional analysis, and integrated fuzzy Kano model compensates for the low-resolution problem of the traditional Kano model. A combination of both models arrives at a more comprehensive and reliable evaluation grid method evaluation mechanism. …”
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Use of TED Talks video materials in teaching oral liaison interpreting in a non-language university by Maria Valerievna Belorukova, Marina Vianorovna Zolotova

“…The article discusses the use of video materials of public speaking of the TE D Talks platform as a means of teaching liaison interpreting in a non-linguistic university. The key features of TED Talks and the benefits of their use compared with feature films have been formulated. …”
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Passive indoor human daily behavior detection method based on channel state information by Xiaochao DANG, Yaning HUANG, Zhanjun HAO, Xiong SI

“…The daily behavior detection of indoor human based on CSI is developing rapidly in the field of WSN.At present,most of the research is still in the environment of 2.4 GHz,so the detection rate,robustness and overall performance still need to be improved.In order to solve this problem,a passive indoor human behavior detection method HDFi (Human Detection with Wi-Fi) based on CSI signal was proposed.The method was used to detect the indoor human daily behavior in a 5 GHz band environment,which was divided into three steps:data acquisition,data processing,feature extraction,online detection.Firstly,the experiment collected typical daily behavioral data in complex laboratory and relatively empty meeting room.Secondly,the amplitude and phase data with more obvious features were extracted and processed by low-pass filtering to obtain a set of stable and noise-free data,and then the fingerprint database was established effectively.Finally,in the real-time detection stage,the collected data features were classified by SVM algorithm to extract more stable eigenvalues,and a classification model of indoor human daily behavior detection was established,and then matched the data in the fingerprint database.The experimental results show that the proposed method has the characteristics of high efficiency,high precision and good robustness,and the method does not need any testing personnel to carry any electronic equipment,so it has high practicability.…”
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ESTIMATING PEASANT FARMS INCOME AND THE STANDARD OF LIVING OF A RURAL POPULATION BASED ON MULTI-FACTORIAL ECONOMETRIC MODELING: A CASE STUDY OF UKRAINE by Mykola DZIAMULYCH, Tetiana SHMATKOVSKA, Antonina GORDIICHUK, Myroslava KUPYRA, Tetiana KOROBCHUK

“…The estimation of impact of different factors on incomes from personal peasant farms in regional aspect of Ukraine, which is needed for understanding the main trends and directions of development of the given problem in perspective, is reflected in this article. …”
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Streaming Platforms, Animation Films & Cinematic Universes’ Effects on Transmedia Storytelling after Covid-19 by İlkan Devrim Dinç

“…Production companies, who want to turn this situation to their advantage, have transferred their cinematic universes, which they have created a sense of belonging in the audience in cinemas for a long time to streaming platforms, both as series, feature films and animations. The main problem of the article is to reveal this paradigm shift. …”
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Construction and control parameter matching method of hydraulic pile hammer surrogate model combining transfer algorithm and knowledge embedding by Hongqi Jiang, Xiao Jiang

“…Therefore, to address the high-precision prediction problem of the motion law of hydraulic pile hammer systems under complex working conditions, a knowledge embedding surrogate model based on a dual neural network is designed, which can be divided into two parts: feature extraction network and prediction network. …”
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Dynamic risk prediction in financial-production systems using temporal self-attention and adaptive autoregressive models by Xuduo Lin, Ziang Qi 

“…To address this, we propose an innovative hybrid temporal model, TSA-AR (Temporal Self-Attention Adaptive Autoregression), which combines temporal self-attention mechanisms with an adaptive autoregressive model to solve the risk prediction problem in financial and production systems. TSA-AR performs multi-scale feature extraction through an improved Informer encoder, dynamically adjusts model parameters with a dynamic autoregressive module, and constructs the nonlinear dependencies between financial and production systems through a cross_modal interaction graph. …”
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TRI-POSE-Net: Adaptive 3D human pose estimation through selective kernel networks and self-supervision with trifocal tensors. by Nabeel Ahmed Khan, Aisha Ahmed Alarfaj, Ebtisam Abdullah Alabdulqader, Nuha Zamzami, Muhammad Umer, Nisreen Innab, Tai-Hoon Kim

“…In order to tackle the problem of precise 3D pose estimation, this work introduces TRI-POSE-Net, a model intended for scenarios with limited supervision. …”
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On the Synchronization of Two Eccentric Rotors with Common Rotational Axis: Theory and Experiment by Xiaozhe Chen, Xiangxi Kong, Xueliang Zhang, Lingxuan Li, Bangchun Wen

“…We convert the synchronization problem into the existence and stability of solving the zero solutions for the dimensionless coupling equations. …”
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The right way to ride the wrong bike: An exploration of Klein's 'unridable' bicycle. by B D Coller

“…Professor Richard Klein and his students built a bicycle with a rather interesting feature: no one was able to ride it. A prize was offered. …”
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METHODS OF ASSESSING PUBLIC(ECOLOGICAL AND ECONOMIC) EFFECTIVENESS OF TRANSPORT PROJECTS IN RUSSIA by A. I. Artemenkov, O. E. Medvedeva, P. V. Medvedev, Yu. V. Trofimenko

“…The article considers the main categories of gains and losses to society in creating the transport infrastructure; defines the problem of their evaluation, and suggests approaches to accounting for these effects during the social assessment phase. …”
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Intelligent Stroke Disease Prediction Model Using Deep Learning Approaches by Chunhua Gao, Hui Wang

“…Deep neural networks have powerful feature representation capabilities and can automatically learn discriminant features from large amounts of data. …”
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Bag-of-words is competitive with sum-of-embeddings language-inspired representations on protein inference. by Frixos Papadopoulos, Tilman Sanchez-Elsner, Mahesan Niranjan, Ashley I Heinson

“…We show that simple baseline representations in the form of bag-of-words histograms perform better than those based on self-supervised learning, on sequence similarity and protein inference tasks. By feature selection we show that the top discriminant features help bag-of-words capture important information for data-driven function prediction. …”
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Enhanced U-Net with Multi-Module Integration for High-Exposure-Difference Image Restoration by Bo-Lin Jian, Hong-Li Chang, Chieh-Li Chen

“…This study adopts supervised learning to solve the problem of images under lighting discrepancies using a U-Net as our main architecture of the network and adding suitable modules to its encoder and decoder, such as inception-like blocks, dual attention units, selective kernel feature fusion, and denoising blocks. …”
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Retention indices of esters of fatty acids and alcohols C1-C4 by A. Y. Aleksandrov, S. P. Safronov, E. L. Krasnykh, S. V. Levanova

“…In this connection it leads to a problem of chemical compounds identification. The most simple and effective method to identify such compounds is to use retention indexes based on gas-liquid chromatography. …”
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Visual Localization Based on Torus-like Surfaces by Xuandong Liu, Lihong Luo, Bingren Shen

“…By utilizing four PCs, the pose determination problem is reformulated as the task of finding the optimal intersection of three surfaces. …”
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Hybrid attention structure preserving network for reconstruction of under-sampled OCT images by Zezhao Guo, Zhanfang Zhao

“…To address this problem, we introduced an additional branch, i.e., textures & details branch, using high-frequency decomposition images to better super-resolve retinal structures. …”
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This Is the Way People Are Negative Anymore: Mapping Emotionally Negative Affect in Syntactically Positive <i>Anymore</i> Through Sentiment Analysis of Tweets by Christopher Strelluf, Thomas T. Hills

“…To solve this problem, we employ sentiment analysis to examine the relationship between NPAM and negative affect in a Twitter corpus. …”
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