A Novel Flexible Model for the Extraction of Features from Brain Signals in the Time-Frequency Domain by R. Heideklang, G. Ivanova

“…The method’s functionality and robustness are demonstrated using simulated as well as real data. …”
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A Typical Infrared Background Radiation Prediction Model Based on RF-VMD and Optimized Hybrid Neural Network by Bentian Hao, Weidong Xu, Xin Yang, Feifei Xiao, Hao Li, Wei Huang

“…First, a random forest (RF) is used to filter the collected multidimensional meteorological parameters. Variational mode decomposition (VMD) is applied for time-frequency analysis on these parameters, optimizing them with Bayesian algorithms and decomposing them into multivariate intrinsic mode functions (IMFs) with similar frequencies to reduce the impact of nonlinearity in the data. …”
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Variability of preoperative rehabilitation in preparation for primary arthroplasty in patients with osteoarthritis of the knee joint by G. P. Kotel'nikov, A. V. Kolsanov, O. I. Moseev, D. S. Kudashev, S. D. Zuev-Ratnikov

“…During the study, it was revealed that preoperative rehabilitation before total knee replacement can significantly reduce the duration of hospital stay, however, convincing evidence of improvement in postoperative functional parameters has not been established. To determine the real effectiveness of preoperative rehabilitation, clinical studies are needed to study the effect of comprehensive preoperative rehabilitation programs on the pathogenetic aspects of osteoarthritis, clinical symptoms and functional parameters in the postoperative period.…”
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Modeling of lifetime scenarios with non-monotonic failure rates. by Amani Abdullah Alahmadi, Olayan Albalawi, Rana H Khashab, Arne Johannssen, Suleman Nasiru, Sanaa Mohammed Almarzouki, Mohammed Elgarhy

“…We analyze the statistical features of the MKWD, such as the quantile function, median, moments, mean, variance, skewness, kurtosis, coefficient of variation, index of dispersion, moment generating function, incomplete moments, conditional moments, Bonferroni, Lorenz, and Zenga curves, and order statistics. …”
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A novel EWMA-based adaptive control chart for industrial application by using hastings approximation by Muhammad Atif Sarwar, Muhammad Hanif, Fahad R. Albogamy, Muhammad Nabi

“…We propose a continuous function for the adaptation of the smoothing constant. …”
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Development and Verification of Microclimate Control System for Enhanced Driver Comfort and Safety Based on Skin Resistance Measurements by Kollárik Rastislav, Vitázek Ivan, Janča Jan, Jukić Željko

“…Experimental verification in laboratory conditions demonstrated device‘s functionality in changing microclimate parameters. Preliminary results suggest a potential correlation between baseline skin resistance values and the magnitude of observed changes in response to ambient conditions. …”
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Femtosecond sub-Bowmen keratomileusis at the peak of the action of Botulinum toxin A, introduced into extraocular muscles in a patient with nystagmus: A clinical case by N. V. Khodzhabekyan, A. V. Apaev, A. T. Khandzhyan

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Development of a simulation model of energy-saving system based on CCGT-110 and ABСM for energy and thermodynamic analysis by L. V. Galimova, D. Z. Bayramov

“…Such systems are characterized by multifactorial relationships of their functioning, nonlinear dependencies between system elements and stochasticity of their parameters, etc. …”
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Smart Solutions for Mega-Cities: Utilizing Long Short-Term Memory and Multi-Head Attention in Parking Prediction by Hasan Kemik, Tugba Dalyan, Murat Aydogan

“…Various experiments were conducted with different parameters, such as model depth and activation functions. …”
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Lightweight and rapid adaptive super-resolution interpolation reconstruction algorithm for super-pixel segmentation of super-wide field-of-view long-wave infrared images by Dongdong Shi, Xia Cai, Limin Liu, Fuyu Huang, Kangli Xu, Yuanbo Wang, Yudan Chen

“…Notably, the “sinc” function is employed to construct the interpolation weighting function, particularly for high-gradient regions. …”
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An efficient algorithm for pedestrian fall detection in various image degradation scenarios based on YOLOv8n by Jianhui Xun, Xuefeng Wang, Xiufang Wang, Xiaoliang Fan, Peishuai Yang, Zhifei Zhang

“…Additionally, the Cross Stage Partial Bottleneck with 2 Convolution Block (C2f) was optimized to reduce computational load and parameter count without compromising performance, while the Inner Extended Intersection over Union (Inner-EIoU) loss function was employed to improve bounding box regression accuracy and speed. …”
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Opposition-based chaotic evolution for optimization by Tianshui Li, Yan Pei

“…The proposed algorithm is evaluated on a series of single-objective and multi-objective numerical optimization problems, including standard benchmark functions and a real-world hybrid rocket engine design task. …”
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Anti-VEGF therapy of neovascular age-related macular degeneration: from randomized trials to routine clinical practice by R. R. Fayzrakhmanov

“…It is thus important to bear in mind that RCTs simply determine how the dynamics of morphofunctional parameters should look like, whilst the ideal result is only achievable through correct implementation of therapeutic strategy in real clinical practice. …”
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Suppression and control of unbalanced and misalignment coupler vibration of a double-rotor permanent magnet drive by Yongcun GUO, Xin MA, Shuang WANG, Deyong LI, Tun YANG

“…The neural network iterative learning control algorithm makes the network able to fit the nonlinear features of the system by introducing nonlinear activation function and depth structure. During the iterative learning process, the network continuously adjusts the parameters according to the real-time vibration data of the system to achieve the goal of vibration suppression. …”
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Analysis dynamic characteristics brushless motor of the mechatronic system in conditions of parametric uncertaintyby computer simulation methods by N. A. Malev, O. V. Pogoditsky, O. V. Kozelkov, A. M. Dyuryagin

“…The control algorithm is formed on the basis of information about the current values of the parameters brushless motor mechatronic system using a nominal or reference mathematical model, which is, as a rule, an idealized representation of a real device. …”
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A comprehensive review on the integration of artificial intelligence in friction stir welding for monitoring, modelling, and process optimization by Mostafa Akbari, Ezatollah Hassanzadeh, Yaghuob Dadgar Asl, Amirhossein Moghanian

“…This functionality allows for immediate parameter adjustments, thus significantly improving weld consistency and quality by minimizing defects. …”
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The new flexible generalized class of distributions with applications to different fields by M. Qaisar Rafique, M. H. Tahir, Khaoula Aidi, Edward Jimmu, M. Adnan Hussain

“…The newly proposed generator-cum-generalized class does not involve any extra parameter, and its functional form plays an important role along with baseline models to develop flexible models. …”
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Multi-Objective Optimization of Pressure-Reducing Valves Operation in Extreme Water Consumption Scenarios (Case Study: Najaf Abad Urban Water Distribution Network) by Seyed Pedram Jazayeri Farsani, Ramtin Moeini

“…A Pressure-Driven Analysis approach was employed to calculate network parameters. Additionally, three objective functions were optimized using the NSGA-II multi-objective optimization algorithm. …”
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Synthesis Based on Linearization of Vector Speed Control of an Induction Motor without a Speed Sensor by O. F. Opeiko

“…Stability is guaranteed in this well-known structure, obtained on the basis of Lyapunov functions, but it remains problematic to calculate the parameters of regulators and an adaptive model to ensure high-quality dynamics of the system. …”
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DIGITAL EXAMINATION METHODS OF ANATOMICAL ELEMENTS OF MASTICATORY SYSTEM AND BASIC OCCLUSION RELATIONSHIPS by R.M. Stupnytskyi, V.R. Yarychkivskyi

“… In the modern world, dentistry has achieved a significant possibilities in aesthetic and functional restoration of teeth and dental arches thanks to modern computer technologies. …”
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