A multi-factor integration-based semi-supervised learning for address resolution protocol attack detection in SDIIoT by Zhong Li, Huimin Zhuang

“…These advantages prompt us to propose a multi-factor integration-based semi-supervised learning address resolution protocol detection method deployed in software-defined networking, called MIS, to specially solve the problems of limited labeled training data and incomplete features extraction in the traditional address resolution protocol detection methods. …”
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A Deep Reinforcement Learning Approach for Portfolio Management in Non-Short-Selling Market by Ruidan Su, Chun Chi, Shikui Tu, Lei Xu

“…Some risk-return balanced studies extract features from price and volume data only, which is highly correlated and missing representation of risk features. …”
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Research on Small-Sample Credit Card Fraud Identification Based on Temporal Attention-Boundary-Enhanced Prototype Network by Boyu Liu, Longrui Wu, Shengdong Mu

“…In this paper, we propose a credit card fraud detection method called the Time-Series Attention-Boundary-Enhanced Prototype Network (TABEP), which strengthens the temporal feature dependency between channels by incorporating a time-series attention module to achieve channel temporal fusion feature acquisition. …”
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Media Presentation of English Borrowings of Pedagogical Discourse by A. D. Efimova

“…The purpose of the study is to investigate the features of the media representation of English borrowings of pedagogical discourse.Methodology and sources. …”
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Dynamic damping under introduction of additional couplings and external actions by S. V. Eliseev, A. S. Mironov, Quang Truc Vuong

“…The study objective is to develop a method for constructing mathematical models in the problems of dynamics of the mechanical oscillating systems with optional devices and features in the system of external disturbing factors.Materials and Methods. …”
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Spatial–Spectral Interaction Super-Resolution CNN–Mamba Network for Fusion of Satellite Hyperspectral and Multispectral Image by Guangwei Zhao, Haitao Wu, Dexiang Luo, Xu Ou, Yu Zhang

“…However, these methods do not fully utilize the characteristics of data for network design, and cannot guarantee effective computational efficiency in extracting local and global features. To solve the above problems, we designed a spatial–spectral interaction super-resolution convolutional neural network (CNN)–Mamba fusion network for satellite HSI and MSI, which uses mutual guidance to improve the spatial and spectral resolution of different data, and obtains the final fused image through feature fusion. …”
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Research on Aerospace Text Classification Based on BERT-LSTM Model by AN Rui, CHEN Hailong, AI Siyu, CUI Xinying

“…The obtained maximum features are combined into a feature vector set, which is then input into the Bi- LSTM layer for sequence modeling. …”
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Intelligent Fault Diagnosis of Hydraulic System Based on Multiscale One-Dimensional Convolutional Neural Networks with Multiattention Mechanism by Jiacheng Sun, Hua Ding, Ning Li, Xiaochun Sun, Xiaoxin Dong

“…The proposed method first extracts features from multirate data samples using a parallel 1DCNN with different receptive fields. …”
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A Multimodel Decision Fusion Method Based on DCNN-IDST for Fault Diagnosis of Rolling Bearing by Weixiao Xu, Luyang Jing, Jiwen Tan, Lianchen Dou

“…The DCNN model can learn features from the original data and carry out adaptive feature extraction for multiple sensor information. …”
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Global Economy: Moving from a Standardized to a Non-Standardized Development Model by I. V. Boiko

“…The purpose of the article is to argue that the destruction of the standardized economy is the main cause of the most acute problems of the world economy.   The common features of standardized production and economy of scale are investigated. …”
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LDMP-RENet: Reducing intra-class differences for metal surface defect few-shot semantic segmentation. by Jiyan Zhang, Hanze Ding, Zhangkai Wu, Ming Peng, Yanfang Liu

“…Given the contribution of relational structure of graph space-embedded local features to the Semantic Difference obviation, a multi-prototype reasoning module is utilized to extract local descriptors-based prototypes and to assess relevance between local-view features in support-query set pairs. …”
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Self-Reported Facial Pain in UK Biobank Study: Prevalence and Associated Factors by Tatiana V., Marcus, Gary J.

“…It demonstrates unique features (lower prevalence than previously reported) and common features (more common in women) and confirms multifactorial aetiology of facial pain. …”
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COMPARATIVE CHARACTERISTICS OF TREATMENT METHODS FOR PATIENTS WITH ODONTOGENIC PHLEGMONS by A.V. Kiptiliy

“…But at the same time, there is no consensus on the conservative therapy of these diseases, especially in the presence of concomitant pathology, which has a significant impact on the features of reparative processes. Therefore, solving this problem requires further comprehensive study. …”
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Japanese Model of Attracting Foreign Youth in the Higher Education System by S. V. Ryazantsev, T. K. Rostovskaya, N. S. Ryazantsev

“…The aim of the study was to identify the features of the functioning of the model of attracting foreign youth to the higher education system in Japan in the context of worsening problems of population aging and slowing economic growth. …”
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U.S. UNIVERSITY WEBSITES AS SPECIFIC MULTIMODAL TEXTS by Svitlana V. Fedorenko, Kateryna B. Sheremeta

“…Placing various videos on website pages allows solving the problems of reinforcing textual content, strengthening the arguments “for” admission and attracting applicants to university educational programs. …”
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Matrix Form of Deriving High Order Schemes for the First Derivative by Hassan Abd Salman Al-Dujaly, Yinlin Dong

“…For many problems in Physics and Computational Fluid Dynamics (CFD), providing an accurate approximation of derivatives is a challenging task. …”
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Research status and future prospects on ultraviolet Ad-Hoc network by GUO Jia, YUAN Renzhi, WANG Siming, PENG Mugen, YANG Chuang

“…These include self-interference issues in the physical layer due to the full-duplex mode, node energy consumption and synchronization problems in the data link layer’s media access control (MAC) protocol, and poor network connectivity and scalability of routing protocols in the network layer. …”
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Density Based Mode Within Radius and Its Application to EEG based Emotion Recognition by Parampuneet Thind, Vaibhav Katturu, Teryn Cha, Sung-Hyuk Cha

“…Mean and median are pervasively used as features to represent patterns, but mode is not because of its weakness. …”
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RESTORATION-BASED EDUCATION OR PRACTICAL TRAINING IN ECOLOGICAL RESTORATION?: APPROACH FROM AN EXPERIENCE IN A DESERTIFIED SOUTH AMERICAN REGION by Daniel R. Pérez, Julieta Farina

“…Contents related to historical environmental problems, and marked differences in priority approaches along time in four groups of residents were outstanding features of the educational process. …”
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