APPLICATION OF VIRTUAL AND AUGMENTED REALITY IN TRAINING OF SOCIAL WORK SPECIALISTS by Polina Stavreva-Kostadinova

“…The development of similar virtual games and simulations would be cost-effective, as it will minimize the so-called "professional" errors and inefficient behavioural decisions by social workers. …”
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Application of Low Crest Factor Modulation in Radio Communication Systems by V. V. Evstratko, V. V. Sukhotin, T. A. Zubov, A. V. Mishurov, A. I. Konovalenko

“…The laboratory bench consisted of pseudo-random sequence and carrier generators; QPSK, OQPSK, and SR-FQPSK transmitters; amplifier; QPSK, OQPSK, and SR-FQPSK receivers; attenuators; spectrum analyzer; power meter; and error meter. The parameters were measured using the methods embedded in the devices: spectrum analyzer, power meter, and error meter.Results. …”
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Analysis and Application of Grey-Markov Chain Model in Tax Forecasting by Huidi Zhang, Yimao Chen

“…Based on the summary and analysis of previous research works, this paper expounds the current research status and significance of tax forecasting, elaborates the development background, current status, and future challenges of the Grey-Markov chain model, introduces the basic principles of grey forecasting model and Markov chain model, constructs the Grey-Markov chain model, analyzes the model’s residual error and posteriori error tests, conducts the analysis of Grey-Markov chain model, performs grey forecasting model construction and its state division, implements the calculation of transition probability matrix and the determination of tax forecasting value, discusses the application of the Grey-Markov chain model in tax forecasting, and finally carries out a simulation experiment and its result analysis. …”
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Phase Pattern Calibration for Interferometric Applications in Spaceborne SAR Systems by Markus Bachmann, Marco Schwerdt, Gabriel Castellanos Alfonzo, Dirk Schrank

“…For certain modes and applications, it is necessary to know the phase behavior of these phased array antennas. …”
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Border Ranks of Positive and Invariant Tensor Decompositions: Applications to Correlations by Andreas Klingler, Tim Netzer, Gemma De les Coves

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Simultaneous optimized orthogonal matching pursuit with application to ECG compression. by Laura Rebollo-Neira

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On estimation of the quadratic hazard rate model parameters: Simulation and application by M. Nagy, A. H. Mansi, Moustafa N. Mousa, M. E. Moshref, N. Youns, M. M. M. Mansour

“…The precision and consistency of point and interval estimates are assessed using four performance metrics: root mean squared error, mean relative absolute bias, average confidence interval length, and coverage probability. …”
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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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Automated Calibration of SWMM for Improved Stormwater Model Development and Application by Hossein Ahmadi, Durelle Scott, David J. Sample, Mina Shahed Behrouz

“…This tool can employ either a single-objective or multi-objective approach to calibrate a SWMM model by minimizing the error between prediction and observed values. This tool uses performance metrics including Nash-Sutcliffe Efficiency (NSE), Percent Bias (PBIAS), and Root Mean Square Error (RMSE) Standardized Ratio (RSR) for both single-event and long-term continuous rainfall-runoff processes. …”
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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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Artificial intelligence applications in pediatric ophthalmology: A comprehensive review by Anupama Janardhanan, Meenakshi Ravindran, Allapitchai Fathima, Neelam Pawar

“…Furthermore, it explores existing AI models and their applicability in diagnosing refractive errors and strabismus. …”
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Research and application of RFID location algorithm based on reference tags by WANG Yuan-zhe1, MAO Lu-hong1, LIU Hui1, XIAO Ji-gao1

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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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Statistical inference and applications of a new transforming weibull distribution by Xingbei Li, Qin Gong, Tingting Chen

“…To evaluate the performance of the estimation methods, we used Monte Carlo simulation to obtain the average parameter estimates under various estimation methods, and measured the accuracy of the estimation using mean square errors and mean biases. The applicability and effectiveness of the transformed Weibull distribution in practical data analysis have been confirmed by applying it to two real datasets.…”
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The Applications of AI Tools in the Fields of Weather and Climate—Selected Examples by Agnieszka Krzyżewska

“…Large language models (LLMs) based on artificial intelligence have found applications across various sectors—including medicine, education, science, literature, and marketing. …”
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Refining Jensen–Mercer inequality and its applications in probability and statistics by Rabia Bibi, Sajid Ali

“…The refinements made to these classical inequalities lead to more precise bounds, offering enhanced capabilities for error estimation, optimization, and performance guarantees. …”
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DFRFT: A Classified Review of Recent Methods with Its Application by Ashutosh Kumar Singh, Rajiv Saxena

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APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO PREDICT RAILWAY SWITCH DURABILITY by Łukasz GIBAŁA, Jarosław KONIECZNY

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