Research on Seismic Noise Attenuation Method Based on Wavelet Transform and f-x-VMD by Chenhao Lian, Wei Chen

“…The experimental results of simulated seismic data and real seismic data show that the proposed method has better random noise attenuation effect than the traditional method.…”
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Scenario Approach to the Planning of the Production Activities of the Enterprise with a Discrete Type of Production (for Example, Electrical Engineering Industry) by Krylova E.V.

“…The described approach allows solving planning problems iteratively in real-time mode concerning profit maximization, to form producer prices, to divide overhead costs according to the type of products and carry out cost accounting according to the type of a product, and it will provide functional interaction between factors and performance indicators.…”
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Scenario Approach to the Planning of the Production Activities of the Enterprise with a Discrete Type of Production (for Example, Electrical Engineering Industry) by Krylova E.V.

“…The described approach allows solving planning problems iteratively in real-time mode concerning profit maximization, to form producer prices, to divide overhead costs according to the type of products and carry out cost accounting according to the type of a product, and it will provide functional interaction between factors and performance indicators.…”
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An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

“…In order to measure the reliability of the neural network model, the mean square error performance function was used. For training the neural network model, the Bayesian training function (trainbr) was used. …”
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Research on the Control Method for Remotely Operated Vehicle Active Docking with Autonomous Underwater Vehicles Based on GFSMO-NMPC by Hongxu Dai, Yunxiu Zhang, Shengguo Cui, Xinhui Zheng, Qifeng Zhang

“…Secondly, a Nonlinear Model Predictive Controller (NMPC) based on a Gaussian Function Sliding Mode Observer (GFSMO) compensation is designed for the ROV, generating smooth control inputs to achieve high-precision trajectory tracking and real-time docking. …”
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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…Based on the YOLOv7-tiny network, the LeakyReLU activation function in the convolution block CBL is replaced by the SiLU activation function. …”
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High-Performance Emulator for Fixed Photovoltaic Panels by Youssef Mallal, Lhoussain El Bahir, Touria Hassboun

“…The practical tests were performed on a prototype designed using a MATLAB C MEX S-function, dSPACE board 1104, and a controlled DC/DC converter. …”
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Cataract surgery in patients with age-related macular degeneration: questions and controversies by E. I. Dmitrieva, A. Zh. Fursova, I. F. Nikulich, T. J. Kim, Yu. A. Gamza

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A Multistage Dynamic Emergency Decision-Making Method considering the Satisfaction under Uncertainty Information by Yong Liu

“…Then, the value utility function based on the DMs’ risk attitude is proposed to obtain the comprehensive value of each emergency alternative for each stage and achieve the ranking results of each stage. …”
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Performance evaluation of CA-, GO- and SO-CFAR processors in a non-centered Lévy-distributed clutter by El-Hadi Meftah, Abdelhalim Rabehi, Slimane Benmahmoud

“…Traditional CFAR designs often assume Gaussian clutter, which may not reflect real-world conditions. Lévy distributions, with heavy tails and a location parameter (δ), provide a more accurate model for non-Gaussian and non-centered clutter in complex environments. …”
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Quantum DeepONet: Neural operators accelerated by quantum computing by Pengpeng Xiao, Muqing Zheng, Anran Jiao, Xiu Yang, Lu Lu

“…In the realm of computational science and engineering, constructing models that reflect real-world phenomena requires solving partial differential equations (PDEs) with different conditions. …”
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Enhanced Light-Gradient Boosting Machine (GBM)-Based Artificial Intelligence-Blockchain-Based Telesurgery in Sixth Generation Communication Using Optimization Concept by Punitha S., Preetha K. S.

“…The condition is categorized using AI methods like Enhanced Light GBM, whose criticality scores range from 0 to 1 (after the predicted output, the criticality score of the corresponding disease is divided into high critical, medium critical, and low critical on the basis of the scores that range from 0 to 1). Here, the parameter tuning in light GBM is performed using the Tasmanian Devil Optimization (TDO) with the consideration of attaining the fitness function and thus referred to as Enhanced Light GBM. …”
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Combined effects of Hall and ion-slip currents and heat transfer on peristaltic transport of a copper–water nanofluid by Khalid Nowar, Borhen Halouani

“…The expressions for the velocity field, stream function, pressure gradient, pressure rise, temperature distribution, and nanoparticle concentration are computed. …”
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Inference and Optimal Design on Partially Accelerated Life Tests for the Power Half-Logistic Distribution Under Adaptive Type II Progressive Censoring by Hanan Haj Ahmad, Mahmoud M. El-Awady

“…The maximum likelihood method estimates model parameters and calculates asymptotic confidence intervals. …”
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Experiences of treatment of age related macular degeneration with concomitant myopia by I. B. Alekseev, Ju. A. Nam

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Optimizing the use of angiogenesis inhibitor in neovascular age-related macular degeneration by F. A. Bakhritdinova, A. F. Yusupov, Sh. A. Mukhanov

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Development and Estimation of Weighted Xgamma Exponential Distribution with Applications to Lifetime Data by Abhimanyu Singh Yadav, Shivanshi Shukla, Neha Jaiswal, Sanjay Kumar Singh, Debayan Koley

“…To demonstrate the practical applicability of the proposed distribution, we analyze two real-world lifetime data sets. The performance of the weighted Xgamma exponential distribution is compared with several well-established one- and two-parameter lifetime distributions, along with their weighted versions. …”
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Solving the differential biochemical Jacobian from metabolomics covariance data. by Thomas Nägele, Andrea Mair, Xiaoliang Sun, Lena Fragner, Markus Teige, Wolfram Weckwerth

“…The presented concept combines dynamic modelling strategies with large-scale steady state profiling approaches without the explicit knowledge of individual kinetic parameters. In summary, the presented strategy allows for the identification of regulatory key processes in the biochemical network directly from metabolomics data and is a fundamental achievement for the functional interpretation of metabolomics data.…”
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A Comprehensive Review of Optimizing Multi-Energy Multi-Objective Distribution Systems with Electric Vehicle Charging Stations by Mahesh Kumar, Aneel Kumar, Amir Mahmood Soomro, Mazhar Baloch, Sohaib Tahir Chaudhary, Muzamil Ahmed Shaikh

“…Key areas have focused on optimization techniques, technical parameters, IEEE networks, simulation tools, distributed generation types, and objective functions. …”
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CHARACTERISTICS AND STABILITY ASSESSMENT OF LIPOSOMAL PREPARATIONS by M. V. Dmitrieva, T. A. Timofeeva, N. A. Oborotova, I. I. Krasnyuk, O. I. Stepanova

“…Since in most macromolecular and nanodisperse systems molecules and particles are not the same, when describing the properties of systems, it is necessary to use the particle distribution functions according to their parameters, i.e. in the study of real systems to take into account their polydispersity, since monodisperse approximations can lead to incorrect conclusions about the properties of particles. …”
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