An Antinoise Fault Diagnosis Method Based on Multiscale 1DCNN by Jie Cao, Zhidong He, Jinhua Wang, Ping Yu

“…MSK has five convolutional kernels with different sizes, and those kernels are used to extract features with varying resolutions in the original signal. …”
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Gestational Trophoblastic Disease: A Multimodality Imaging Approach with Impact on Diagnosis and Management by Sunita Dhanda, Subhash Ramani, Meenkashi Thakur

“…Initial diagnosis is based on a multimodality approach: encompassing clinical features, serial quantitative β-hCG titers, and pelvic ultrasonography. …”
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Ambition of the Main Character in Quintessence Novel by Jess Redman by Unpris Yastanti, Anggraini, Nadila Nurul Izzah, Titi Dewi Rohati

“…The result of this research reveals; (1) 13 features of ambitious people in the main character there are personal interest, willing to connect, strong desire, problem solving, confidence, motive others, hardworking, risk taker, maximize capability, emotion stability, self-development, critical thinking, and kind-hearted person, (2) in total, 17 kinds of human needs are catered when the main character pursuing her ambition goal there are conversance, order, construction, achievement, infavoidance, defendance, conteraction, dominance, deference, similance, autonomy, blameavoidance, affilation, succorance, nurturance, cognizance, exposition and (3) some factors determine ambition-level of main character are located such as prior experience, purpose of ambition, group influence and realism.   …”
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Hybrid educational technologies for forming competences of search and critical analysis among future bachelors in land management and cadastres by Igor D. Rudinsky, Oksana Yu Li

“…Problem statement. The article examines the features of competency development among students within the context of hybrid learning. …”
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A Novel Encoder–Decoder Model for Short-Term Multistep Wind Power Prediction by Qiushi Wang, Dekuan Wang, Yifan Li

“…The former increases the ability of the model to capture long-term dependencies and global features, while the later focuses on short-term internal dynamics. …”
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Re-ranking vehicle re-identification with orientation-guide query expansion by Xue Zhang, Xiushan Nie, Ziruo Sun, Xiaofeng Li, Chuntao Wang, Peng Tao, Sumaira Hussain

“…This task can be regarded as a type of retrieval problem, where re-ranking is important for performance enhancement. …”
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Chest X-Ray Images to Differentiate COVID-19 from Pneumonia with Artificial Intelligence Techniques by Rumana Islam, Mohammed Tarique

“…This investigation has employed two algorithms to solve this problem objectively. One algorithm uses lower-dimension encoded features extracted from the X-ray images and applies them to the machine learning algorithms for final classification. …”
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PNN: A novel progressive neural network for fault classification in rotating machinery under small dataset constraint by Praveen Chopra, Himanshu Kumar, Sandeep Yadav

“…The PNN sequentially estimates the fixed-size refined features of the higher order with the help of all previously estimated features and appends them to the feature set. …”
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A Grave Monument From The Seljuk Era: Halil Dede Tomb by Esra Tokat

“…This situation brings with it the problem of dating for structures that do not have a construction inscription or are not mentioned in any written record. …”
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LTR-Net: A deep learning-based approach for financial data prediction and risk evaluation in enterprises. by Shimiao Liu

“…Financial data prediction and risk assessment represent a complex multi-task problem that requires effective handling of time-series data and multi-dimensional features. …”
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Analysis of the Customer Churn Prediction Project in the Hotel Industry Based on Text Mining and the Random Forest Algorithm by Leila Taherkhani, Amir Daneshvar, Hossein Amoozad Khalili, Mohamad Reza Sanaei

“…In this research, an approach based on text mining on customers’ comments in the Persian language is presented, which uses the random forest algorithm for classification that was considered the most effective method to solve this problem. In this model, to increase the efficiency of the proposed method in compare with existing works, the gravitational search algorithm was used to select the useful features, and the differential evolution algorithm was used to adjust the parameters of the classification method. …”
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Molecular characteristics of anaplastic astrocytomas and isolation of molecular subgroups of their IDH1 mutant forms using in silico analysis by P. V. Nikitin, A. Yu. Belyaev, M. V. Ryzhov

“…Aim. The problem of anaplastic astrocytomas is quite relevant today. …”
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Creative History of M. Yu. Lermontov’s Poem “Dispute” (1841) in Cultural and Historical Context by I. A. Kiselyova, K. A. Potashova, E. A. Sechenych

“…The urgency of the problem is associated with the need to clarify the features of Lermontov’s thinking; his work, being a reflection of the real pictures of his time, has a visionary potential. …”
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Factor Analysis for Finding Invariant Neural Descriptors of Human Emotions by Vitor Pereira, Filipe Tavares, Petya Mihaylova, Valeri Mladenov, Petia Georgieva

“…Building subject-independent models is a harder problem due to the high data variability between different subjects and different experiments with the same subject. …”
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National Variability of German Language in Field of Lexical Compatibility (by Material of Austrian and Swiss Collocations) by L. B. Kopchuk

“…The author’s attention is drawn to two problem areas of modern linguistics: the study of lexical compatibility and further development of the concept of national variability of the German language. …”
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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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Application of a sEMG hand motion recognition method based on variational mode decomposition and ReliefF algorithm in rehabilitation medicine. by Yue Yuan

“…Next, the ReliefF algorithm is used to remove redundant features from the feature space. In order to select a feature space that can effectively reflect the intention of hand movements, the hand movement recognition performance of 8 low-dimensional feature spaces is evaluated. …”
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Increasing the Classification Achievement of Steel Surface Defects by Applying a Specific Deep Strategy and a New Image Processing Approach by Fatih Demir, Koray Sener Parlak

“…A new deep learning model called the Parallel Attention–Residual CNN (PARC) model was constructed to extract deep features concurrently by training residual structures and attention. …”
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THE NATURA 2000 NETWORK IN SPAIN AND ITS LACK OF PROTECTION by Manuel Cabalar FUENTES, Miguel Pazos OTÓN, Francisco José Armas QUINTÁ, Xosé Carlos Macía ARCE

“… Protected Natural Areas are one of the most frequently used tools for preserving the main natural features of a territory. Over time their focus has evolved from a prevalence of basically aesthetic criteria (spectacular landscapes with picturesque features such as high mountains, thickly wooded forests or rugged coastlines) to a more global vision that includes the conservation of the diversity of habitats present in any given territory. …”
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Sistem Manajemen Proyek Berbasis Website Dengan Metode Kanban by Florence Aurelia Widjaja, Bhustomy Hakim

“…The research involved problem identification, literature review, and interviews with project managers to gather both functional and non-functional requirements. …”
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