Construction technology and intelligent application of transparent working face model by Xiaohui WANG, Zaibin LIU, Baohui CHEN, Liang MA, Yaoquan GAO, Dongliang ZHANG, Yiming DU, Xiaorong LEI, Junsheng YAN

“…Verified data show that model errors are within 0.2 m, with 97% of errors falling within the 0-0.1 m range. …”
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APPLICATION OF VIRTUAL AND AUGMENTED REALITY IN TRAINING OF SOCIAL WORK SPECIALISTS by Polina Stavreva-Kostadinova

“…The study covers an assessment of the need and types of possible applications of a virtual environment for the training of social work professionals. …”
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Application of Bayesian Vector Autoregressive Model in Regional Economic Forecast by Jinghao Ma, Yujie Shang, Hongyan Zhang

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Performance of the Surface Water and Ocean Topography (SWOT) Mission for Monitoring Small Lakes in West Africa by Felix Girard, Laurent Kergoat, Ibrahim Mainassara, Maxime Wubda, Edwige Dayangnewende Nikiema, Amadou Abdourhamane Toure, Julien Renou, Maxime Vayre, Nicolas Taburet, Nicolas Picot, Manuela Grippa

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A Usability Analysis of QODE: Qurbani Web Application System by Dalila Husna Yunardi, Maya Fitria, Rahmad Dawood, Teuku M. Syahril Nur Alamsyah

“…The current management of these activities is done manually and by hand, which can potentially have errors. Therefore, this research aims to develop and evaluate the usability of a web-based application that will in part take care of Qurbani-related activities. …”
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Augmented reality in intelligent automation: an application to support industrial scheduling by Bernardo Firme, José Rodrigues, Maria Teresa Restivo, Susana Vieira, João M.C. Sousa

“…A dual-resource scheduling plan is generated for machines and workers, and there is the necessity of coordination between both resources to avoid delays and unexpected errors. The application of augmented reality aims at two focal points: facilitating the workers’ tasks by displaying the step-by-step procedures for each task they are assigned and also monitoring the ongoing work on machines so that workers can be aware when intervention is needed. …”
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Application of artificial neural network in determining the fabric weave pattern by Subrata Das, Keerthana Shanmugaraja

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Android-Based Stock Opname Application Development with SQLite and Firebase by Ishaq Maulana, Verdi Yasin, Akmal Budi Yulianto

“…This method is quite time-consuming and carries the risk of recording errors. Therefore, this study aims to develop an Android-based application that can assist the stocktaking process directly in the field. …”
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Application of the Hough Transform to Dispersion Control of Overlapping Particles and Their Agglomerates by P. V. Gulyaev

“…Tests have shown that the errors in determining the size and number of particles of the multi-pass Hough transform are on the same level or exceed these indicators for analog methods.…”
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Application of artificial neural networks in the prediction of sugarcane juice Pol by Anderson P. Coelho, João V. T. Bettiol, Alexandre B. Dalri, João A. Fischer Filho, Rogério T. de Faria, Luiz F. Palaretti

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The Application of FTIR Spectroscopy and Chemometrics for the Authentication Analysis of Horse Milk by Mitsalina Fildzah Arifah, null Irnawati, null Ruslin, Khoirun Nisa, Anjar Windarsih, Abdul Rohman

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Approach to Behavior Scenarios Debugging by P. D. Drobintsev, V. P. Kotlyarov, I. V. Nikiforov, A. A. Letichevsky, V. S. Peschanenko

“…The paper presents two approaches to debugging the application model behavior scenarios: semi-automatic and automatic. …”
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Methods for nonparametric statistics in scientific research. Overview. Part 2 by M. A. Nikitina, I. M. Chernukha

“…Kolmogorov test based on the accumulation of empirical frequencies is more sensitive to differences and captures those subtle nuances that are not available in Pearson’s chi-squared test. Typical errors in the application of these tests are analyzed. …”
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Establishment and application of population pharmacokinetics model of vancomycin in infants with meningitis by Jianwen Xu, Yanting Zhu, Peiguang Niu, Ying Liu, Danyun Li, Li Jiang, Daohua Shi

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Core-Level Modeling and Frequency Prediction for DSP Applications on FPGAs by Gongyu Wang, Greg Stitt, Herman Lam, Alan George

“…We evaluate CMD’s prediction methods using several high-performance DSP applications on various families of FPGAs and show an average clock-frequency prediction error of 3.6%, with a worst-case error of 20.4%, compared to the best of existing high-level prediction methods, 13.9% average error with 48.2% worst-case error. …”
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INFLATION FORECASTS IN AMBON USING NEURAL NETWORK APPLICATIONS BACKPROPAGATION by Mozart W Talakua, Venn Yan Ishak Ilwaru, Berny P Tomasouw, Syella Z Limba

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Linear mixed effects models under inequality constraints with applications. by Laura Farnan, Anastasia Ivanova, Shyamal D Peddada

“…Since in many applications sample sizes are small and/or the data are not necessarily normally distributed and furthermore error variances need not be homoscedastic (i.e. heterogeneity in the data) we use an empirical best linear unbiased predictor (EBLUP) type residual based bootstrap methodology for deriving critical values of the proposed test. …”
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Refining Jensen–Mercer inequality and its applications in probability and statistics by Rabia Bibi, Sajid Ali

“…Abstract This paper focuses on refining the Jensen–Mercer inequality and extending its applications to various important inequalities, including Hölder’s, Ky Fan, and AM-GM inequalities. …”
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Data efficiency assessment of generative adversarial networks in energy applications by Umme Mahbuba Nabila, Linyu Lin, Xingang Zhao, William L. Gurecky, Pradeep Ramuhalli, Majdi I. Radaideh

“…Seasonal variations posed challenges, with wGAN achieving a relatively high error of Root Mean Squared Error (RMSE) of 0.32 for load power prediction, compared to RMSE of 0.07 under same-season conditions. …”
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Synchronization of Switched Interval Networks and Applications to Chaotic Neural Networks by Jinde Cao, Abdulaziz Alofi, Abdullah Al-Mazrooei, Ahmed Elaiw

“…Moreover, as an application, the proposed scheme is then applied to chaotic neural networks. …”
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