A Study of English Informative Teaching Strategies Based on Deep Learning by Yaojun Guo

“…In this paper, we study and design a deep learning-based English informatics teaching system to develop a deep learning-based scoring prediction model. The model incorporates deep learning models based on word embedding and text convolutional networks, which can uncover the hidden interest features of academics for English. …”
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Analysis of Shunted Screen Gravel Pack Process and Calculation of Friction in Deepwater Horizontal Wells by Fei Xu, Shengtian Zhou, Chong Zhang, Yi Yu, Zhao Dong

“…The model and software can provide technical support for the prediction and optimization of gravel packing parameters in the future.…”
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Performance of Geosynthetic-Reinforced and Cement-Fly Ash-Gravel Pile-Supported Embankments over Completely Decomposed Granite Soil: A Case Study by Lijun Wu

“…Five methods widely adopted in current designing were used to calculate the pile efficacy. The prediction for pile efficacy by the Nordic method, BS8006, and its modified version is significantly higher than measured values. …”
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Comprehensive genome annotation of Trilocha varians, a new model species of Lepidopteran insects by Jung Lee, Toshiaki Fujimoto, Katsushi Yamaguchi, Shuji Shigenobu, Ken Sahara, Toru Shimada

“…To facilitate further use of T. varians, we developed genome annotation information on the chromosome-scale assembly of T. varians previously published by our group. 9 RNA-seq datasets and 2 Iso-seq datasets were submitted for transcriptome-based gene prediction. As a result, 16,266 protein-coding genes were predicted on the latest genome assembly, and 98.6% of BUSCO sequences were present in our gene models. …”
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Research on 2.4 GHz Wireless Channel Propagation Characteristics in a Steel Ship Cabin by Wanli Tu, Hong Xu, Yiqun Xu, Qiubo Ye, Mingxian Shen

“…A 3D ray-tracing model of 2.4 GHz wave propagation in the ship cabin is established, a multipath propagation prediction is carried on, and receiving power is calculated. …”
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CARDIOVASCULAR RISK IN PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE by L.I. Konopkina, L.A. Botvinikova, M.A. Krykhtina

“…The aim of our study was to assess the degree of total cardiovascular risk (CVR) in patients with COPD of severe course for prediction of their cardiovascular events and justify the ways of total CVR correction for each of patients. …”
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Estimation of Fresh and Hardened Properties of Self-Compacting Concrete by Optimized Radial Basis Function Methods by David Cadasse, Antonio Fontana

“…Hence, it is attempted to develop some models to predict the fresh and hardened properties of SCC by the optimized radial basis function neural network (RBFNN) method. …”
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FEATURES OF INTERPRETATION OF THE RESULTS OF HOLTER MONITORING IN THE AGE CATEGORY OF THE POPULATION by K.E. Gubskaya, Y.T Tolegenov, D.A Urazalina

“…The article considers the conditions for updating Holter monitoring in screening for the risk of developing cardiovascular diseases for the age category of patients both in early prediction and in the current state of the cardiovascular system. …”
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Numerical Analysis of a Train-Bridge System Subjected to Earthquake and Running Safety Evaluation of Moving Train by Xun Yang, Huanhuan Wang, Xianlong Jin

“…The proposed modeling strategies and the simulated results can give a reference prediction of the dynamic behaviour of the train-bridge subjected to an earthquake.…”
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Long journey of 16S rRNA‐amplicon sequencing toward cell‐based functional bacterial microbiota characterization by Jianshi Jin, Xiongduo Liu, Katsuyuki Shiroguchi

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Analysis of high-rise building safety detection methods based on big data and artificial intelligence by Jiaojiao Xu, Chuanjie Yan, Yangyang Su, Yong Liu

“…The experiments in this article use the concept of big data to divide the system into modules such as data collection, data preprocessing, feature extraction, prediction model building, and model application in order to provide massive data storage and parallel computing services to form a security test system. …”
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Investigation of Soil-Structure Interaction for Design of Reinforced Concrete Structures under Earthquake Load by Saffet Kılıçer, Korhan Özgan

“…Earthquake damages structures with the impact of ground shaking. Prediction of earthquake magnitude in advance is a great importance in the civil engineering discipline to minimize possible damages during the earthquake. …”
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Fine Depiction of the Single Sand Body and Connectivity Unit of a Deltaic Front Underwater Distributary Channel: Taking the Third Member of the Dongying Formation in the Cha71 Faul... by Zhenfeng Yu, Jindong Yang, Xinya Song, Jin Qiao

“…Portrays the vertical separation model, total lateral separation type, vertical type, lateral superposition type, 4 types of single sand body vertical superimposed and bay type, bank contact between docking, instead of four kinds of single sand body lateral contact type, and summarizes its logging facies identification. The quantitative prediction model of the single sand body was established, the characteristics of single sand body plane distribution were summarized, and the identification of the oil-water layer and the lower limit of reservoir effective thickness were studied. …”
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Comparing Two Strategies to Model Uncertainties in Structural Dynamics by Rubens Sampaio, Edson Cataldo

“…In the modeling of dynamical systems, uncertainties are present and they must be taken into account to improve the prediction of the models. Some strategies have been used to model uncertainties and the aim of this work is to discuss two of those strategies and to compare them. …”
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The intersection of digital health and artificial intelligence: Clearing the cloud of uncertainty by Pooyeh Graili, Bijan Farhoudi

“…In the context of numerical data, machine learning algorithms enable prediction, classification, and clustering. In managing perceptual data, AI recognizes image/video, voice, and text. …”
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Application of Minimax Optimization Mechanism in Chinese-English Machine Translation Quality Estimation by Xiaomei Zhang

“…In this study, we introduce a novel approach that integrates minimax optimization to unify the prediction and estimation phases under a common optimization goal. …”
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Exploring Route Choice Behaviours Accommodating Stochastic Choice Set Generations by Shin-Hyung Cho, Seung-Young Kho

“…There are model validation processes to confirm the prediction accuracy according to travel distance. This study discusses the policy implication to introduce the traveller specified route travel guidance system.…”
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Binary Classification of Customer’s Online Purchasing Behavior Using Machine Learning by Ahmad Aldelemy, Raed A. Abd-Alhameed

“…In this study, we develop a machine learning workflow for high classification accuracy and improved prediction confidence using a binary classification approach on a publicly available dataset from a Portuguese financial institution as a proof of concept. …”
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Numerical Simulation Investigation on Well Performance Integrated Stress Sensitivity and Sand Production by Chong Cao, Linsong Cheng, Xiangyang Zhang, Junjie Shi

“…For unconsolidated sanding wells, the interaction between sanding and pressure-dependent permeability as oil is produced from the bottom of the well puts higher challenges on the evaluation and prediction of well performance. Therefore, it is essential to assess the oil well performance considering the synthetic effect of stress-sensitive and produced sand particles. …”
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Recommended System Optimization in Social Networks Based on Cooperative Filter with Deep MVR Algorithm by Kim Hung Pho

“…Hence, a topic called identifying users is created by making recommendations or propositional systems, and so on, link prediction. The most important issue is the new users' social networks so that they can offer suggestions. …”
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