Exponentiated Generalized Weibull Exponential Distribution: Properties, Estimation and Applications by Anuwoje Ida L. Abonongo, John Abonongo

“…Real-life sciences rely heavily on statistical modeling because new applications and phenomena pop up constantly, increasing the demand for new distributions. …”
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Machine Learning Applications in Parallel Robots: A Brief Review by Zhaokun Zhang, Qizhi Meng, Zhiwei Cui, Ming Yao, Zhufeng Shao, Bo Tao

“…This paper reviews the progress of typical applications of machine learning methods in parallel robots, covering four main areas: kinematic modeling, error compensation, trajectory tracking control, as well as other emerging applications such as design synthesis, motion planning, and CDPR fault diagnosis. …”
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Perceptions, Attitudes, and Concerns on Artificial Intelligence Applications in Patients with Cancer by Enes Erul MD, Yusuf Aktekin MD, Furkan Berk Danışman BSc, Şükrü Armanç Gümüştaş, Büşra Saraç Aktekin MD, Emre Yekedüz MD, Yüksel Ürün MD

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Instrumentation System for Monitoring of Soil Variables in Precision Agriculture Applications by Diana Rueda-Delgado, Fredy Cuellar-Torres, Damian Martinez, Margarita Sofia Narducci

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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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Is the guiding-center radiation model applicable to runaway electron dynamics? by Wenxiang Li, Jian Liu, Yang Zhang, Jiaxing Tian, Yijia Zhou, Jinlin Xie

“…In this paper, we conduct a detailed study of the errors of guiding-center radiation model (GCRM) under different conditions, thereby providing a basis for its applicable conditions. …”
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Application of the formula for estimating glomerular filtration rate in the elderly population by Yang Dan, Ge Shu-wang, Xu Gang

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Computational problems of analysis of short next generation sequencing reads by R. te Boekhorst, F. M. Naumenko, N. G. Orlova, E. R. Galieva, A. M. Spitsina, I. V. Chadaeva, Y. L. Orlov, I. I. Abnizova

“…Short read next generation sequencing (NGS) has significant impacts on modern genomics, genetics, cell biology and medicine, especially on meta-genomics, comparative genomics, polymorphism detection, mutation screening, transcriptome profiling, methylation profiling, chromatin remodelling and many more applications. However, NGS are prone for errors which complicate scientific conclusions. …”
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Knowledge, Applicability, and Barriers of Telemedicine in Egypt: A National Survey by Mohamed Alboraie, Mahmoud Abdelrashed Allam, Naglaa Youssef, Mohammad Abdalgaber, Fathiya El-Raey, Nermeen Abdeen, Reem Ezzat Mahdy, Omar Elshaarawy, Ahmed Elgebaly, Tamer Haydara, Sherief Abd-Elsalam, Yusuf Abdullah Nassar, Hosam Shabana, Samy Zaky

“…Video or phone calls (39.3%) and mobile applications (23.7%) were the most commonly recognized telemedicine tools by the participants. …”
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Epidemiology of inherited metabolic disorders in newborn screening: insights from three years of experience in Southern Iran by Leila Salarian, Homa Ilkhanipoor, Anis Amirhakimi, Zhila Afshar, Saman Nahid, Fariba Moradi Ardekani, Nazila Rahimi, Negar Yazdani, Abdolhossein Nikravesh, Zahra Beyzaei, Hossein Moravej

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PROSPECTS OF APPLICATION OF ORIGINAL MULTIROBOTIC SYSTEM FOR BRACHYTHERAPY OF PROSTATE CANCER by N. A. Gryaznov, G. S. Kireeva, V. V. Kharlamov, K. Yu. Senchik, D. V. Novitskiy, S. A. Nikitin

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Application of Double Exponential Smoothing Method for Forecasting Laptop Sales by Rafika Nurhayati, Rizqi Darma Rusdiyan Yusron, Wilda Imama Sabilla, Ulla Delfana Rosiani

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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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Are Natural Language Processing methods applicable to EPS forecasting in Poland? by Wojciech Kurylek

“…The SRW model consistently demonstrated the lowest error rates, as measured by the mean arctangent absolute percentage error, and outperformed the NLP-based models across different periods and error metrics. …”
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Assessing Stereo Camera Applicability for Digital Monitoring of Cattle Exterior by S. S. Yurochka, D. Yu. Pavkin, A. R. Khakimov, P. S. Berdyugin, S. O. Bazaev

“…(Conclusions) The study confirmed that the number of stereo pairs does not impact accuracy, and the observed error represents the accuracy limit for these stereo pairs in stereo vision applications.…”
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Formation Pore Pressure Prediction and Application Based on Aacoustic Logging by QI Wenli, WU Huimei, LOU Yishan, ZHAI Xiaopeng, LIU Hong

“…The results show that the maximum error of the prediction results of the equivalent depth method and the effective stress method exceeds 10%, which cannot satisfy the engineering damands, while the prediction error of the Eaton method is the smallest, with a maximum error of 4.77%. …”
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Application of Hybrid Algorithm with Large Data in Wind Farm Modeling by GUO Min, ZHAO Qiao-e, GAO Jin-cheng, ZHOU Bin-long

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Elliptical Orbits Mode Application for Approximation of Fuel Volume Change by Jovian Dian Pratama, Ratna Herdiana, Susilo Hariyanto

“…The calculation of the approximation method will be applied to the measuring book data from the Semarang Metrology Regency specifically for the Pertalite (Fuel Product of Pertamina) buried tank, because the calculation of the gas station is not smooth, it is necessary for a smoother data fitting by considering Residual Square Error (RSS) and Mean Square Error (MSE). The result of this research is the application of EOM(θ) measuring book with elliptical height control produces smaller RSS and MSE compared to using COM, EOM, Least Square degree two and three.…”
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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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