Estimation of parameters for the modified Weibull distribution under step-stress accelerated life testing with application to aircraft windshields data by Mohammed M. A. Almazah, Mohammed A. Alshahrani, Qasim Ramzan, Irfan Ali Raza, Muhammad Tahir, Zahoor Ahmad

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Validity and Reliability of the MyJump 2 Application for Measuring Vertical Jump in Youth Soccer Players Across Age Groups by Andreas Stafylidis, Yiannis Michailidis, Athanasios Mandroukas, Ioannis Metaxas, Konstantinos Chatzinikolaou, Charalampos Stafylidis, Sophia D. Papadopoulou, Thomas I. Metaxas

“…Reliability was assessed using intraclass correlation coefficients (ICC), standard error of measurement (SEM) and Bland–Altman test–retest analysis. …”
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Evaluating a Novel Theoretical Strategy for the Screening DES(s) for Potential Application in EOR Processes Using Quantum Mechanics Calculations by Maryann I. Uzochukwu, Toyese Oyegoke, Raheem O. Momoh, Muhammed T. Isa, Suleiman M. Shuwa, Baba Y. Jibril

“…It also can be employed as a quick check to reduce trial and error during the experimental selection of energetically stable DESs in the laboratory for their potential application for EOR performance in a cost-effective manner.…”
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Feasibility study on the application of HD-sEMG-based force estimation technology in the assessment of hand dysfunction in cerebral palsy by Xinlu Zhang, Kun Wang, De Wu, Xu Zhang, Xiang Chen

“…IntroductionIn response to the demand for a quantifiable means for assessing hand dysfunction in cerebral palsy (CP), this paper proposed and conducted a novel high-density (HD)-surface electromyography (sEMG)-based muscle force estimation framework.Methods and ResultsA highly generalized source network was developed firstly based on long short-term memory (LSTM) networks and three different healthy adult HD-sEMG-force datasets, achieving a root mean square error (RMSE) of 6.31% in force estimation across various force modes; Then, transfer learning techniques were applied to fine tune the well-trained source network using data from healthy children, establishing five gesture-specific target networks that achieved RMSE below 10% in force estimation tasks independent of the subjects; Finally, a muscle force estimation experiment was conducted on 16 children with CP using the gesture-specific target networks.ConclusionBy comparing and analyzing the experimental results of CP group and healthy control group, CP children with different grades of Manual Ability Classification System (MACS), and CP children with different types of symptoms, it was verified that the abnormal EMG-force relationship obtained using the proposed muscle force estimation scheme had the potential for clinical application in the assessment of CP hand dysfunction. …”
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APPLICATION OF THE SPECTROMETRIC METHOD FOR CALCULATING THE DOSE RATE FOR CREATING CALIBRATION HIGHLY SENSITIVE INSTRUMENTS BASED ON SCINTILLATION DETECTION UNITS by R. V. Lukashevich, G. A. Fokov

“…Modernization of the measuring path to minimize the error in measuring the response of the detector to gamma radiation has already reached its technological ceiling and does not give the proper effect. …”
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Can linear regression modeling help clinicians in the interpretation of genotypic resistance data? An application to derive a lopinavir-score. by Alessandro Cozzi-Lepri, Mattia C F Prosperi, Jesper Kjær, David Dunn, Roger Paredes, Caroline A Sabin, Jens D Lundgren, Andrew N Phillips, Deenan Pillay, EuroSIDA Study, United Kingdom CHIC/United Kingdom HDRD Study

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A robot process automation based mobile application for early prediction of chronic kidney disease using machine learning by Md. Hasan Imam Bijoy, Md. Jueal Mia, Md. Mahbubur Rahman, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Tetsuya Shimamura

“…Such integration has the potential to transform CKD management, facilitating early interventions and personalized treatment plans through advanced machine-learning applications.…”
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Cheby-KANs: Advanced Kolmogorov–Arnold Networks for Applying Geometric Deep Learning in Quantum Chemistry Applications by Amgad Abdallah Mahmoud, Andreas Pester, Maha M. Muttardi, Frederic Andres, Shihori Tanabe, Nicolas Greneche, Hesham H. Ali

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Research and application of a novel grey multivariable model in port scale prediction under the impact of Free Trade Zone by Yuyu Sun, Yuchen Zhang, Zhiguo Zhao

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Enhanced nonlinear sliding mode control technique for wind power generation systems application: Theoretical design and comparative study by Yattou El Fadili, Ismail Boumhidi

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Variogram modelling optimisation using genetic algorithm and machine learning linear regression: application for Sequential Gaussian Simulations mapping by André William Boroh, Alpha Baster Kenfack Fokem, Martin Luther Mfenjou, Firmin Dimitry Hamat, Fritz Mbounja Besseme

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Genetic programming-based algorithms application in modeling the compressive strength of steel fiber-reinforced concrete exposed to elevated temperatures by Mohsin Ali, Li Chen, Qadir Bux Alias Imran Latif Qureshi, Deema Mohammed Alsekait, Adil Khan, Kiran Arif, Muhammad Luqman, Diaa Salama Abd Elminaam, Amir Hamza, Majid Khan

“…Iterative hyperparameter adjustment and trial-and-error refining achieved optimum predictions. All the models were evaluated using correlation (R) values for training, validation, and testing datasets. …”
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Improved in-situ direct shear test of rock mass structural plane and its application to stability analysis of bedding slope by Zhiming Wang, Changguang Qi, Zhichao Zhang, Rufa Huang, Chaoxu Guo, Lijin Dong, Rongyue Zheng

“…It solves the problem that the previous in-situ direct shear test is too complicated and has poor applicability, and it can obtain the shear strength parameters of rock structural plane more accurately and conveniently. …”
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Atmospheric stability from numerical weather prediction models and microwave radiometer observations for onshore and offshore wind energy applications by D. Cimini, D. Cimini, R. Gandoin, S. Fiedler, S. Fiedler, C. Acquistapace, A. Balotti, S. Gentile, S. Gentile, E. Geraldi, C. Knist, P. Martinet, S. T. Nilo, G. Pace, B. Pospichal, F. Romano

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Application of the Adaptive Mixed-Order Cubature Particle Filter Algorithm Based on Matrix Lie Group Representation for the Initial Alignment of SINS by Ning Wang, Fanming Liu

“…Under large azimuth misalignment conditions, the initial alignment of strapdown inertial navigation systems (SINS) is challenged by the nonlinear characteristics of the error model. Traditional particle filter (PF) algorithms suffer from the inappropriate selection of importance density functions and severe particle degeneration, which limit their applicability in high-precision navigation. …”
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Neisseria gonorrhoeae antimicrobial susceptibility testing: application of traditional agar dilution to a high-throughput 96-well microtiter assay by Joyce E. Kuipers, Laura Seidel, Nicole E. Garnier, Cezar M. Khursigara

“…Both 96-well microtiter assays demonstrated no major errors for any antimicrobial, with some minor errors with azithromycin and consistent minor errors with gentamicin. …”
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Construction and application of a TCN-LSTM-SVM-based time series prediction model for water inflow in coal seam roofs by Xuan LIU, Yadong JI, Kaipeng ZHU, Chunhu ZHAO, Kai LI, Chaofeng LI, Chenhan YUAN, Panpan LI, Pengzhen YAN

“…ResultsThe training and prediction results indicate that the TCN-LSTM-SVM model yielded mean absolute errors (\begin{document}$ {E}_{{\mathrm{MA}}} $\end{document}) ranging from 56.02 m3/h to 129.89 m3/h, mean absolute percentage errors (\begin{document}$ {E}_{{\mathrm{MAP}}} $\end{document}) from 3 % to 7 %, root mean square errors (\begin{document}$ {E}_{{\mathrm{RMS}}} $\end{document}) from 82.60 m3/h to 162.61 m3/h, and coefficients of determination (\begin{document}$ {R}^{2} $\end{document}) from 0.81 to 0.98 based on the training, validation, and test sets. …”
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A Dual Filter Based on Radial Basis Function Neural Networks and Kalman Filters with Application to Numerical Wave Prediction Models by Athanasios Donas, Ioannis Kordatos, Alex Alexandridis, George Galanis, Ioannis Th. Famelis

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Optimizing low complexity encoding method for systematic polar code by Linhua MA, Shiping LIU, Xing HU, Tianyu HUANG, Bin XU

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Reliability Analysis of Baremetal and FreeRTOS Applications on Microchip PolarFire SoC RISC-V Multiprocessors Using High-Energy Protons by Andre M. P. Mattos, Douglas A. Santos, Luigi Dilillo

“…Modern space applications are increasingly demanding reliable processing systems with high computational capabilities for missions with ambitious targets, tight budgets, and fast deployment. …”
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