Gender-Based Differences in Biomechanical Walking Patterns of Athletes Using Inertial Sensors by Elina Gianzina, Christos K. Yiannakopoulos, Georgios Kalinterakis, Spilios Delis, Efstathios Chronopoulos

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Psychophysiological Response Differences Between Advanced and Beginner Climbers and Fatigue Management by Alejandro Padilla-Crespo, Vicente Javier Clemente-Suárez, Álvaro Bustamante-Sánchez

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Optimizing Recovery Strategies in Elite Speedskating: A Comparative Analysis of Different Modalities by Tomasz Kowalski, Kinga Rębiś, Jadwiga Malczewska-Lenczowska, Andrzej Klusiewicz, Michał Starczewski, Sebastian Klich, Przemysław Kasiak

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Survival estimation for singly type one censored sample based on generalized Rayleigh distribution by Baghdad Science Journal

“…Finally , testing whether the current model ( GRD ) fits to a set of real data , then compute the survival function and hazard function for this real data.…”
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New Lifetime Distribution and its Application to Cancer Data by Samuel Adewale ADEROJU, Nihimat Iyebuhola Aleshinloye, Bako Lukmon Taiwo, Bello Ishola Sanni

“…Some of its mathematical properties such as the density function, cumulative distribution function, survival function, hazard rate function, moment generating function, Renyi entropy and order statistics are obtained. …”
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Neutrosophic Wald Distribution with Applications to Reliability Analysis by Afrah Al Bossly, Adnan Amin

“…In this article, we develop neutrosophic extension of the Wald (Inverse Gaussian) distribution to present more realistic modelling for real data by introducing uncertainty in its parameters. …”
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Design and Application of State Estimation Research Mode by Long PENG, Jian NING, Yi WANG, Juanjuan LU, Yong ZHANG, Yuchun LUO

“…The automation professionals can analyze the measurement and parameter problems purposefully according to the indicators provided by the comparison function. …”
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Bayesian estimation strategy for multi-component geometric life testing model under doubly type-1 censoring scheme

“…The derivations of the Bayes estimators (BEs) and Bayes risks (BRs) are presented under square error loss function (SELF), precautionary loss function (PLF) and DeGroot loss function (DLF) using Beta prior under DT1CS. …”
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A new statistical distribution via the Phi-4 equation with its wide-ranging applications. by Yousef F Alharbi, Ahmed M T Abd El-Bar, Mahmoud A E Abdelrahman, Ahmed M Gemeay

“…Furthermore, we illustrate the applicability of the HS distribution for modeling real data by applying our results to real data. As a result, it is expected that our proposal will be of significant assistance to the community investigating new distributions based on hyperbolic functions and their applications to real-world data sets.…”
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A Novel Method for Developing Efficient Probability Distributions with Applications to Engineering and Life Science Data by Alamgir Khalil, Abdullah Ali H. Ahmadini, Muhammad Ali, Wali Khan Mashwani, Shokrya S. Alshqaq, Zabidin Salleh

“…Several important statistical properties such as moments, order statistics, quantile function, stress-strength parameter, mean residual life function, and mode have been derived for the proposed distribution. …”
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Study on Heat Dissipation of Reduction Gearbox of a Hoisting Mechanism in Stopped State by Gao Chunhui, Hu Xiong

“…Then,by means of the function mapping software Origin,the temperature data of the reduction gearbox is fitted,a quadratic exponential function model is fitted and the function parameter is obtained. …”
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Implementing artificial neural networks and support vector machines to predict lost circulation by Ahmed K. Abbas, Najim A. Al-haideri, Ali A. Bashikh

“…Then, the user-controlled parameters for ANNs (e.g., training function, number of hidden layers, transferring function, and number of neurons in each hidden layer) and SVMs (e.g., regularization factor, the type of kernel function, and its specific parameters) were optimized using the most common conventional performance criteria. …”
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Bayesian Inference for the Beta-Weibull Distribution with Applications to Cancer and Under-nutrition Data by Fekade Getabil Habtewold, Ayele Taye Goshu, Butte Gotu Arero

“…The results show that the parameters of the Bayesian Beta-Weibull distribution are estimated effectively and the model demonstrates a good fit to simulated data, and real-world datasets. …”
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Application of digital technique to the spectral analysis of Mandelshtam-Brjllouin scattered light by Tomasz HORNOWSKI, Mikołaj ŁABOWSKI

“…The experimentally recorded Mandelshtam-Brillouin type light scattering function is in general a convolution of the real scattering function and the overall instrumental function, accounting for all the deformations introduced by the measuring arrangement. …”
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Self-adaptive prediction and prewarning model of mine gas concentration by Dingwen Dong

“…Abstract In order to expand the function of safety monitoring and control system in coalmine, and realize the accurate real-time prediction and reliable prewarning of mine gas concentration, study the self-adaptive prediction and prewarning method for gas concentration based on Empirical Mode Decomposition (EMD) and Gaussian Process Regression (GPR). …”
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Development Research on Integrating CNC Machine Tool with Plasma for Online Surface Heat Treatment by Shao-Hsien Chen, Bo-Ting Wang

“…The variable factors in the surface online real-time heat treatment are spindle speed, feed rate, and current, and the objective function is the hardness of mechanical properties. …”
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The Half-Logistic Lomax Distribution for Lifetime Modeling by Masood Anwar, Jawaria Zahoor

“…We derive some mathematical properties of the proposed distribution such as the survival and hazard rate function, quantile function, mode, median, moments and moment generating functions, mean deviations from mean and median, mean residual life function, order statistics, and entropies. …”
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Product Acceptance Determination with Measurement Error Using the Neutrosophic Statistics by Muhammad Aslam

“…The neutrosophic operating function is also given. The neutrosophic plan parameters will be determined through the neutrosophic optimization problem. …”
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STATISTICAL MODEL UPDATING AND STRUCTURAL PROBABILISTIC DAMAGE IDENTIFICATION BASED ON BAYESIAN METHOD by GAN Lu, CHEN Hui

“…By comparing the probability density functions of the identified parameters in the two states, the probability and degree of structural damage were finally obtained. …”
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TCE-YOLOv5: Lightweight Automatic Driving Object Detection Algorithm Based on YOLOv5 by Han Wang, Zhenwei Yang, Qiaoshou Liu, Qiang Zhang, Honggang Wang

“…Finally, the EIOU loss function is introduced to measure the overlap between the predicted box and the real box more accurately and improve the detection accuracy. …”
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