A versatile family of distributions: Log-linear regression model and applications to real data

“…The ExpG-M model's parameter was estimated using both maximum likelihood estimation (MLE) and Bayesian estimation (BE) methods with a square error loss function, also assessed through Monte Carlo simulation studies. …”
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Laboratory study of the quality of root canal obturation in the application of various techniques of medical treatment by T. V. Furtsev, Z. Yu. Amelyukhina, G. M. Zeer

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Optimalisasi Presensi Sekolah Berbasis QR Code dengan Metode Rapid Application Development by Eva Rahmawati, Herlambang Brawijaya, Doni Andriansyah, Elly Mufida

“…The proposed system allows students to scan a unique QR Code to automatically record their attendance, thereby reducing human intervention and minimizing errors. The expected outcomes of this study include increased accuracy, efficiency, and security in recording student attendance. …”
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Measurement of User Satisfaction of ELSIMIL Application in Stunting Prevention in Indonesia using EUCS Method by M. Zacky, Eki Saputra

“…However, during the implementation of the use of the ELSIMIL application, there are many problems faced by the family assistance team and prospective brides, one of which is the lack of knowledge of prospective brides in running the ELSIMIL application, for example: during the registration of bride and groom data, there are still many errors in inputting data so that the results issued in the form of an ELSIMIL certificate do not match the condition of the prospective bride and groom. …”
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Modified hat functions: Application in space-time-fractional differential equations with Caputo derivative by E. Sedighi, O. Baghani, H. Azin

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Application of the Method of Summation Identities in Solving a Boundary-Value Problem for the Lame Equations by A.V. Anufrieva, E.V. Rung, D.N. Tumakov

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Application of a Channel Estimation Algorithm to Spectrum Sensing in a Cognitive Radio Context by Vincent Savaux, Moïse Djoko-Kouam, Yves Louët, Alexandre Skrzypczak

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Application of TOPSIS an PIV Methods for Multi - Criteria Decision Making in Hard Turning Process by Do Duc Trung

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Stabilizer ground states for simulating quantum many-body physics: theory, algorithms, and applications by Jiace Sun, Lixue Cheng, Shi-Xin Zhang

“…Stabilizer states, which are also known as the Clifford states, have been commonly utilized in quantum information, quantum error correction, and quantum circuit simulation due to their simple mathematical structure. …”
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Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules by Ya Yang, Pan Wang, Chengzhou Yu, Jing Zhu, Jinping Sheng

“…At present, the application of intelligence in the medical field is increasing. …”
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Improved LightGBM for Extremely Imbalanced Data and Application to Credit Card Fraud Detection by Xiaosong Zhao, Yong Liu, Qiangfu Zhao

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Radiation-Hardened 16T SRAM Cell with Improved Read and Write Stability for Space Applications by Jong-Yeob Oh, Sung-Hun Jo

“…The critical charge of sensitive nodes decreases as transistors scale down with the advancement of CMOS technology, making SRAM cells more susceptible to soft errors in the space industry. When a radiation particle strikes a sensitive node of a conventional 6T SRAM cell, a single event upset (SEU) can occur, flipping in the stored data in the cell. …”
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An Ensemble-Based AI Approach for Continuous Blood Pressure Estimation in Health Monitoring Applications by Rafita Haque, Chunlei Wang, Nezih Pala

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A Global Method for Approximating Caputo Fractional Derivatives—An Application to the Bagley–Torvik Equation by Maria Carmela De Bonis, Donatella Occorsio

“…</mo></mrow></semantics></math></inline-formula> The numerical procedure is based on approximating <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>f</mi><mrow><mo>(</mo><mi>m</mi><mo>)</mo></mrow></msup></semantics></math></inline-formula> by the <i>m</i>-th derivative of a Lagrange polynomial, interpolating <i>f</i> at Jacobi zeros and some additional nodes suitably chosen to have corresponding logarithmically diverging Lebsegue constants. Error estimates in a uniform norm are provided, showing that the rate of convergence is related to the smoothness of the function <i>f</i> according to the best polynomial approximation error and depending on order <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>α</mi></semantics></math></inline-formula>. …”
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Application of a Bias Correction Method to Meteorological Forecast for the Pyeongchang Winter Olympic Games by Zhang Yutao, Tong Hua, Sun Jian

“…Compared with, NU-WRF and LDAPS models, the corrected GRAPES_3 km has the best wind speed forecast capability and root mean square error of the wind speed is significantly reduced. …”
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Application of Fractional Fourier Transform and BP Neural Network in Prediction of Tumor Benignity and Malignancy by Xuanyu Liu, Nan Gao, Shuoran He, Lizhen Wang

“…The findings show great potential for clinical application and future development.…”
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Application of Baro-Altimeter Sensor in Emergency Positioning and Navigation Based on Compass GEO Satellites by Jianwei Zhan, Jing Pang, Guozhu Zhang, Gang Ou

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DISPUTES IN THE APPLICATION OF EMPLOYMENT COPYRIGHT LAW RELATING TO THE PRINCIPLE OF STRICT LIABILITY IN ENVIRONMENTAL CLUSTERS by Mashudi Mashudi, Abdul Basid

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Drive electrical parameters applicability evaluation to determine loads on bridge crane lifting mechanism by S. D. Ivanov, A. N. Nazarov

“…Formulas for determining the error of calculating the stator current and active power parameters and for determining the coefficient of proportionality of the load on the drive and the information parameter are given.Results. …”
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Half logistic exponentiated inverse Rayleigh distribution: Properties and application to life time data. by Juma Salehe Kamnge, Manoj Chacko

“…Moreover, numerical simulations were performed to evaluate these estimation methods for both small and large samples through Monte Carlo simulations, and the finding reveals that the maximum likelihood estimation was the best among all estimation methods since it comprises small mean square error compared to other estimation methods. We employ real-world lifetime data to demonstrate the performance of the newly generated distribution compared to other distributions through practical application. …”
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