Application of machine learning models in predictive maintenance of Francis hydraulic turbines by Júlio César Silva de Souza, Oswaldo Honorato Júnior, Geraldo Lúcio Tiago Filho, Otávio Augusto Salgado Carpinteiro, Hailton Silveira Domingues Biancardine Júnior, Ivan Felipe Silva dos Santos

“…Moreover, it is proposed that these models may estimate real conditions for turbine functioning, thus enabling planning for the most opportune moment to carry out turbine maintenance. …”
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Sine Power Unit Inverse Lindley Model: Bayesian Analysis and Practical Application by Amal S. Hassan, Diaa S. Metwally, Mohammed Elgarhy, H. E. Semary, Abdoulie Faal, Rokaya Elmorsy Mohamed

“…For parameter estimation, both traditional maximum likelihood estimation and Bayesian estimation, incorporating symmetric and asymmetric loss functions, are considered. …”
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Ulam stability for nonlinear boundary value problems for impulsive Caputo type fractional delay differential equations by Ravi P. Agarwal, Snezhana Hristova, Donal O’Regan

“…This mixed boundary value problem depends on a parameter. We obtain an integral presentation of the solution and establish the existence and uniqueness of the solution for any value of the real valued parameter. …”
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A mathematical framework of HIV and TB co-infection dynamics by Nauman Raza, Shaiza Irum, Shafiullah Niazai, Muhammad Asad Ullah, Mohammad Y. Alshahrani, Andrew Omame

“…Using actual data from the USA from 1999 to 2022, crucial parameters are estimated. The final fitting of the model with real data demonstrates how effectively the model framework aligns with the data. …”
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Assessment of Building Compactness at Initial Design Stage of Single-Family Houses by Edwin Koźniewski

“…In a recent study, two collections of single-family houses were analyzed: (a) a collection of 21 with outlines assumed a priori so that the building area was constant (which is not achievable in practice) and (b) a collection of 33 real buildings, recently designed by the Polish design studio Galeria Domów. …”
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On the effectiveness of the new estimators obtained from the Bayes estimator by Amani Alahmadi, Abdelkader Benkhaled, Waleed Almutiry

“…Estimating the mean parameters in random variables, particularly within multivariate normal distributions, is a critical issue in statistics. …”
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The clinical status and working capacity in patients included in the All-Russian Psoriatic Arthritis Registry by E. Yu. Loginova, T. V. Korotaeva, Yu. L. Korsakova, E. E. Gubar, P. O. Tremaskina, E. A. Vasilenko, I. N. Kushnir, I. M. Patkikeeva, S. S. Kudishina, P. A. Shesternya, A. V. Petrov, N. A. Kuznetsova, E. L. Nasonov

“…The data obtained from real clinical practice suggest that half of the PsA patients had high disease activity and a third had severe functional impairment, which led to a lower quality of life and to disability. …”
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On certain trilinear oscillatory integral inequalities by Christ Michael

“…Inequalities are established for certain trilinear scalar-valued functionals. These functionals act on measurable functions of one real variable, are defined by integration over two- or three-dimensional spaces, and are controlled in terms of Lebesgue space norms of the functions, and in terms of negative powers of large parameters describing a degree of oscillation. …”
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Analyzing fractional glucose-insulin dynamics using Laplace residual power series methods via the Caputo operator: stability and chaotic behavior by Sayed Saber, Safa M. Mirgani

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User activity monitoring and automated office IT infrastructure management system by V.V. Vorotnikov, O.O. Shelukha, K.I. Matvieiev

“…A detailed implementation of a Python-based software agent is provided, capable of gathering technical and behavioral parameters such as CPU load, user interaction, and network status. …”
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Study on the sensorless control method of permanent magnet synchronous motor based on self-tuned boundary layer and RBF neural network by Guozhong Yao, Junhong Zhou, Yuhan Xiao, Dewen Jia, Zhengjiang Wang

“…Furthermore, an RBF neural network captures the system's Jacobian information, enabling real-time adaptive tuning of velocity-loop PID parameters. …”
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Constrained Federated Learning for AoI-Limited SFC in UAV-Aided MEC for Smart Agriculture by Mohammad Akbari, Aisha Syed, W. Sean Kennedy, Melike Erol-Kantarci

“…Simulation results show the effectiveness of the proposed approach in minimizing the total network energy consumption, minimizing the average AoI, and satisfying the strict condition of AoI <inline-formula> <tex-math notation="LaTeX">$ &lt; 100$ </tex-math></inline-formula> msec for supporting real-time applications in our network parameter settings.…”
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Prediction of the Natural Gas Compressibility Factor by using MLP and RBF Artificial Neural Networks by Kanchev Neven, Stoyanov Nikolay, Milushev Georgi

“…The compressibility factor indicates the deviation of the real natural gas from the ideal behavior. It is one of the most important parameters in the natural gas industry. …”
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Development of Multi-Channel Seismic–Electrical Combined Rolling Coverage Measurement System by Zucan Lin, Qisheng Zhang, Keyu Zhou

“…To address this issue, this paper presents the development of a multi-functional, high-power, multi-channel, rolling, fast measurement system for combined electrical and seismic exploration. …”
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Adaptive speed control of BLDC motors for enhanced electric vehicle performance using fuzzy logic by R. Shenbagalakshmi, Shailendra Kumar Mittal, J. Subramaniyan, V. Vengatesan, D. Manikandan, Krishnaraj Ramaswamy

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Design of a Savitzky-Golay Filter-Based vEMG-FES System by Ruikai Cao, Yixuan Sheng, Anqin Dong, Honghai Liu

“…Additionally, we adapt the Savitzky-Golay filter to extract high-quality, real-time vEMG from FES-contaminated signals, with the optimal filter parameters for different stimulation and blanking periods determined using a genetic algorithm and semi-synthesized signals. …”
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Reconstructing Gap-Free Daily Remote Sensing Reflectance in the Marginal Seas Using the DINEOF Method by Shuyan Lang, Yuxuan Jiang, Shengqiang Wang, Yongjun Jia, Yi Zhang

“…Ocean color remote sensing has provided extensive datasets of various bio-optical parameters, which are essential for studying marine biogeochemical processes and ecosystems. …”
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Improving Electrical Stimulation Effectiveness and Versatility for Non-Invasive Transdermal Monitoring Applications via an Innovative Mixed-Signal Electronic Interface by Alessandro Zompanti, Davide Ciarrocchi, Simone Grasso, Riccardo Olivieri, Giuseppe Ferri, Marco Santonico, Giorgio Pennazza

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About late asymptote of transient processes in the magnetic field of the dipole sources by N.V. Reva, V.S. Portnovv, G.G. Blyalova, A.D. Mausimbaeva

“…Analyzed the functional relationship of late asymptote parameter hтс with a longitudinal conductivity and thickness of layers. …”
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The Link Between Left Atrial Longitudinal Reservoir Strain and Mitral Annulus Geometry in Patients with Dilated Cardiomyopathy by Despina-Manuela Toader, Alina Paraschiv, Diana Ruxandra Hădăreanu, Maria Iovănescu, Oana Mirea, Andreea Vasile, Alina-Craciun Mirescu

“…This study aims (1) to characterize the mitral annulus (MA) parameters in patients with DCM and advanced-stage heart failure (HF) according to etiology and (2) to find correlations between left atrial function and MA remodeling in this group of patients, using 4DE quantification software. …”
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