TECHNIQUE AND SOFTWARE FOR PROJECT PROPOSALS EXPERT ASSESSMENT OF AVIATION AND ROCKETRY PRODUCTS by S. G. Parafes, O. G. Feoktistova

“…The essence of an expert assessment as a scientific method is a rational organization of experts analyzing the problem from a quantitative evaluation of judgments and results processing. …”
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Iterative Syndrome-Based Deep Neural Network Decoding by Dmitry Artemasov, Kirill Andreev, Pavel Rybin, Alexey Frolov

“…We illustrate that the described approach achieves exceptional performance results and is applicable for iterative codes with larger code lengths <inline-formula> <tex-math notation="LaTeX">$[n=4096, k=2025]$ </tex-math></inline-formula>, compared to state-of-the-art DNN-based methods. Finally, we address the issues of computational complexity and memory requirements of DNN-based decoding by analyzing the model&#x2019;s compression limits through pruning and matrix decomposition methods.…”
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Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction by Zexi Yang, Qi Yu, Yapeng Zhan, Jiying Liu

“…Numerical experiments predicting the electronic structural properties of metal–organic frameworks show that the developed model achieves state-of-the-art performance. Moreover, the proposed model was applied to predict the heat capacity and thermal decomposition temperature of material, demonstrating the ability of this method to effectively generalise multiscale prediction tasks.…”
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Multiple Classifier System for Handling Imbalanced and Overlapping Datasets on Multiclass Classification by Dessy Siahaan, Anwar Fitrianto, Khairil Anwar Notodiputro

“…The Synthetic Minority Oversampling Technique (SMOTE) method was also applied to balance the dataset. The One Versus One (OVO) decomposition technique helped the multiclass classification process. …”
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PRECISION, STABILITY ANALYSIS OF THE CRANKSHAFT GRINDING TECHNOLOGICAL PROCESS by S. A. Kornilovich, B. S. Trofimov

“…The structural and functional representation of the object is also used for research, and the model for the analysis of the grinding process serves as the basis for the  decomposition.Results. …”
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Synthesis of silver nanoparticles from neem and cow dung, their characterization, and their application as a nano pesticide and nano fertilizer by Ardesana Yash N., Ajudia Ravi, Patel Dhruvi, Srinivas N.

“…The polyol method, microemulsions, thermal decomposition, electrochemical synthesis, chemical vapor deposition, microwave irradiation, pulsed laser method, sonochemical reduction, and gamma radiation are just a few of the many techniques used in the synthesis and characterization of silver nanoparticles (Ag NPs). …”
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Two-Phase Flow in Wire Coating with Heat Transfer Analysis of an Elastic-Viscous Fluid by Zeeshan Khan, Rehan Ali Shah, Saeed Islam, Bilal Jan

“…The analytical solution of the theoretical model is obtained by Optimal Homotopy Asymptotic Method (OHAM). …”
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Short-Term Wind Power Prediction Based on MVMD-AVOA-CNN-LSTM-AM by Xiqing Zang, Zehua Wang, Shixu Zhang, Mingsong Bai

“…For this reason, this paper proposes a combined prediction model based on the Pearson correlation coefficient method, multivariate variational mode decomposition (MVMD), African vultures optimization algorithm (AVOA) for leader–follower patterns, convolutional neural network (CNN), long short-term memory (LSTM), and attention mechanism (AM). …”
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Elevator fault precursor prediction based on improved LSTM-AE algorithm and TSO-VMD denoising technique. by Hao Cao, Xiaoyan Du

“…This study proposes an advanced elevator fault precursor prediction method integrating Variational Mode Decomposition (VMD), Bidirectional Long Short-Term Memory (BILSTM), and an Autoencoder with an Attention Mechanism (AEAM), collectively referred to as the VMD-BILSTM-AEAM algorithm. …”
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FAULT DIAGNOSIS OF ROLLING BEARING BASED ON LEARNING SAMPLE SELECTION VIA CORRELATION ENERGY FLUCTUATION EVALUATION AND DEEP BELIEF NEURAL NETWORK (MT) by QIN Bo, LUO QuanYi, FENG WeiWei, ZHANG Peng, ZHAO ZhenHua, LI ZiXian, WANG Zhuo

“…The data-driven intelligent diagnosis of rolling bearing status suffers from low recognition rate due to the poor quality of learning samples in the process of identification model construction. To address this problem, a method is proposed to improve the recognition rate of the rolling bearing intelligent diagnosis model by selecting learning samples using the deep belief neural network. …”
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EWT多重分解与若干新型元启发式算法优化的多层感知器月径流预测 by CAI Liang, BAO Yanfei, CUI Dongwen

“…As a concise and efficient time series decomposition method, EWT^III can decompose the original monthly runoff series into more easily modeled and predictable components with a larger scale.…”
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PINN based on multi-scale strategy for solving Navier–Stokes equation by Shirong Li, Shaoyong Lai

“…Combining the framework and the idea of multi-scale methods in traditional numerical methods, such as domain decomposition and collocation self-adaption, we construct a method of the Physics-Informed Neural Networks (PINNs) based on multi-scale strategy to solve Navier–Stokes equations, and the results are more effective than XPINNs and SAPINNs. …”
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Analytical Expressions for Steady-State Concentrations of Substrate and Oxidized and Reduced Mediator in an Amperometric Biosensor by Loghambal Shunmugham, L. Rajendran

“…The analytical expressions pertaining to the concentration of species and normalized current are obtained using the Adomian decomposition method (ADM). Simple and approximate polynomial expressions of concentrations of an oxidized mediator, substrate, and reduced mediator are derived for all possible values of parameters ϕO2 (Thiele modulus), BO (normalized surface concentration of oxidized mediator), and BS (normalized surface concentration of substrate). …”
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Global burden of disease for colorectal cancer due to diet low in whole grains from 1990 to 2021 and its projections to 2050: analysis of the global burden of disease study 2021 by Mei Yang, Gansheng Huang, Feng Jiang, Zaijin Guo

“…Trends were quantified using Estimated Annual Percentage Change (EAPC) and disease burden was projected to 2050 using Bayesian Age-Period-Cohort (BAPC) modeling. Decomposition analyses explored the impact of population growth, aging, and epidemiologic changes on burden.ResultsBetween 1990 and 2021, the number of CRC deaths associated with a low proportion of whole grain diets worldwide increased by 82.94%, and disability adjusted life years increased by 70.3%. …”
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Diagnosis of COVID-19 from Chest X-Ray Images Using Wavelets-Based Depthwise Convolution Network by Krishna Kant Singh, Akansha Singh

“…In this paper, an automated method for the diagnosis of COVID-19 from the chest X-Ray images is proposed. …”
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Dimensions-Reduced Volterra Digital Pre-Distortion Based On Orthogonal Basis for Band-Limited Nonlinear Opto-Electronic Components by Hananel Faig, Yaron Yoffe, Eyal Wohlgemuth, Dan Sadot

“…In addition to the analytical modeling approach, a nonparametric method is developed by applying eigenvalue decomposition on the correlation matrix, which is required for the case of dependent random variables, or for the case of unknown probability distribution functions. …”
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Wavelet Packet Transform based Speech Enhancement via Two-Dimensional SPP Estimator with Generalized Gamma Priors by Pengfei SUN, Jun QIN

“…Although various speech enhancement techniques have been developed for different applications, existing methods are limited in noisy environments with high ambient noise levels. …”
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Detection Technology for Catenary Stagger Value Based on Acceleration Signals by CHEN Hongming, ZHOU Ning, LU Wenwei, YANG Zixian, CHENG Yao, WANG Dong, ZHANG Weihua

“…Subsequently, the computed indicator and operating speed are used as input features to train, test, and validate an RF model. ［Result & Conclusion］ The proposed method accurately detects catenary stagger values across various operating speeds, achieving a root mean square error as low as 5.84, outperforming other existing algorithms. …”
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Ｒesearch on Design Synthesis Methodology in Supporting of Bio-inspired Design Solution Generation by CHEN Ji-yi, MA Jin, HU Jie, QI Jin, PENG Ying-hong

“…Firstly，based on the formerly proposed Function-Behavior-Structure ( FBS) knowledge cells model constructed by the decomposition of case functions，the pre-synthesis step acquires preliminary design solutions through connecting FBS knowledge cells end to end by backtracking the functional decomposition process of design requirements. …”
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Mereological approach to higher-order structure in complex systems: From macro to micro with Möbius by Abel Jansma

“…To illustrate the latter in practice, we decompose the Kullback-Leibler divergence, and show that our method correctly identifies which variables are responsible for the divergence. …”
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