Reconstruction of Tokamak Plasma Emissivity Distribution by Approximation with Basis Functions by Tomasz Czarski, Maryna Chernyshova, Katarzyna Mikszuta-Michalik, Karol Malinowski

“…Within this framework, the reconstruction method employs an approximation model utilizing three sets of basis functions: (i) polynomial splines, as well as Gaussian functions with (ii) sigma parameters and (iii) position parameters. …”
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An Improved Real-Time LOS-Based Model Predictive Control for the Semi-Submersible Offshore Platform Under Ocean Disturbances by Shunli Wang, Xiufen Ye, Ronghao Zhang, Meng Luo

“…The kinematic and dynamic models were combined to construct a complete MPC prediction model, and the LOS method was integrated into the MPC strategy to achieve trajectory-tracking functionality. Unlike prior research that was validated exclusively through simulations, this paper further validated the efficacy of the improved LOS-MPC in real path tracking through a series of sea trials. …”
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A Dynamic Cloud Center of Gravity Model for Real-Time System-Level Health Status Assessment of Intelligent Ship by Lei Guo, Tianjian Wang, Xiao Dong, Peng Zhang, Hong Zeng, Jundong Zhang

“…This process integrated expert-defined functional boundaries with measurable parameters critical to system performance. …”
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Modified tree-based selection in hierarchical mixed-effect models with trees: A simulation study and real-data application by Asrirawan, Khairil Anwar Notodiputro, Budi Susetyo, Sachnaz Desta Oktarina

“…The proposed methods are compared with the available methods through several simulation exercises in different settings and real datasets. The simulation study confirms that the 3Trees-EvTree method performs well compared to the previous method in terms of parameter estimation and prediction accuracy under clusMSE and clusPMSE. …”
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Optimized window functions for spectral analysis based on digital filters by R.V. Petrosian

“…The article addresses a relevant issue of improving the accuracy of spectral analysis in computerized systems by optimizing window functions used in the Discrete Fourier Transform (DFT). …”
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A study of adaptive population sizing in a self-adaptive differential evolution by Haldi Budiman, Shir Li Wang, Theam Foo Ng, Amr S. Ghoneim, Haidi Ibrahim, Bahbibi Rahmatullah

“…SAEDE-EP is compared against 18 state-of-the-art evolutionary algorithms on 10 functions from the 100-Digit Challenge on CEC 2019 single-objective real parameter optimization. …”
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A comparative study of structural and microcirculatory parameters in patients with primary open-angle glaucoma and diabetes mellitus by A. Zh. Fursova, Y. A. Gamza, M. S. Tarasov, M. V. Vasilyeva, A. S. Derbeneva

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A digital twin framework for real-time healthcare monitoring: leveraging AI and secure systems for enhanced patient outcomes by Ahmed K. Jameil, Hamed Al-Raweshidy

“…To strengthen the study and enhance diversity, the dataset was supplemented with 1177 anonymized medical records from the publicly available MIMIC-III Public Health Dataset. The DT model functions as a tool, storing both real-time sensor data and historical records, to effectively identify health risks and anomalies. …”
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The role of clinical parameters and cathepsin S gene expression in predicting the development of postoperative pain in patients with hip osteoarthritis by E. V. Chetina, K. E. Glemba, G. A. Markova, A. P. Prizov, M. A. Makarov

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Machine Training of the System of Functional Diagnostics of the Shaft Lifting Machine by Dovbysh A. S., Zimovets V. I., Zuban Y. A., Prikhodchenko A. S.

“…In addition, the crucial rules based on the optimal geometrical parameters of hyperspherical containers of recognition classes make it possible to take highly reliable diagnostic decisions in real time.…”
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Advanced Functional Optical Fiber Sensors for Smart Battery Monitoring by Zhi Liu, Yang Lu, Xiao Ma, Yun He, Mingzhe Fu, Shuaishuai Yan, Changjian Li, Xuan Song, Haiyu Zhou, Kai Liu

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Evaluation of Bayesian network scoring functions in polychotomous data analysis by Xuejia Ke, Katherine Keenan, V. Anne Smith

“…Among these, the BDe scoring function requires specifying hyperparameters that influence the priors on the network parameters. …”
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Smart Clothing and Medical Imaging Innovations for Real-Time Monitoring and Early Detection of Stroke: Bridging Technology and Patient Care by David Sipos, Kata Vészi, Bence Bogár, Dániel Pető, Gábor Füredi, József Betlehem, Attila András Pandur

“…In parallel, recent advancements in wearable technology, particularly smart clothing, offer new opportunities for stroke prevention, real-time monitoring, and rehabilitation. These garments integrate various sensors, including electrocardiogram (ECG) electrodes, electroencephalography (EEG) caps, electromyography (EMG) sensors, and motion or pressure sensors, to continuously track physiological and functional parameters. …”
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Comprehensive Approach to Developing Baseline Reference Ranges for Platelet Function by Olga B. Gordeeva, Maria S. Karaseva, Vasily A. Lastovka, Nato D. Vashakmadze, Margarita A. Soloshenko, Gregory V. Revunenkov, Kirill A. Valyalov, Viktor V. Altunin

“…Platelet dysfunction clinically manifests as thrombotic and hemorrhagic events of various severity and location. Platelet function can be evaluated via aggregatometry. Specified parameters for aggregatometry can be used in pediatrics as a standard for evaluating platelet function in peripheral blood. …”
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Microcirculatory and functional changes in the retina and visual channels in multiple sclerosis by E. P. Lantukh, M. V. Zueva, I. V. Tsapenko, O. V. Zaitseva, M. N. Zakharova, N. M. Maglakelidze, T. O. Simaniv

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A Novel Exploration Stage Approach to Improve Crayfish Optimization Algorithm: Solution to Real-World Engineering Design Problems by Harun Gezici

“…The proposed ICOA is compared to 12 recent meta-heuristic algorithms by using the CEC-2014 benchmark set (30 functions, 10 and 30 dimensions), five engineering design problems, and a real-world ROAS optimization case. …”
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Estimation of linear regression parameters by minimizing the sum of the excesses of the approximation error modules relative to a given level by S. I. Noskov, S. V. Belyaev

“…Development of an algorithmic method for estimating the parameters of a linear regression model based on minimizing the sum of excesses of absolute deviations of the calculated values of the dependent variable from the real ones relative to some predetermined level.Methods. …”
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A Bayesian inference with Hamiltonian Monte Carlo (HMC) framework for a three-parameter model with reliability applications

“…We also investigated the identifiability of the proposed model's parameters. Finally, two real datasets involving the failure times of some components were used to evaluate the performance of the proposed estimation methods and the model. …”
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Predicting disinfection by-products (DBPs) in supply water within a real water distribution network using an artificial neural network by F. Khan, M.F.R. Zuthi, M.S. Rahman, M.A. Akbor, M.D. Hossain, M.N.I. Bhuiyan

“…The model is based on real-scale data from the Chattogram water distribution network (WDN), a coastal city in Bangladesh. …”
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Efficacy and Renal Safety of Dapagliflozin in Patients with Type 2 Diabetes Mellitus Also Receiving Metformin: A Real-Life Experience by Alessandro Scorsone, Gabriella Saura, Mattia Fleres, Lucia Spano, Vito Aiello, Davide Brancato, Anna Di Noto, Francesca Provenzano, Vincenzo Provenzano

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