Predicting and synthesizing terahertz spoof surface plasmon polariton devices with a convolutional neural network model by Vahid Najafy, Bijan Abbasi-Arand, Maryam Hesari-Shermeh

“…Three examples are provided for inversely designing several sensor devices and absorbers in the terahertz band using the proposed CNN and the genetic optimization algorithm.…”
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Registration and signal processing in measuring system for monitoring leaks of NPP pipeline fittings by E. A. Abidova, V. I. Ratushny

“…The automatic processing is based on an algorithm based on the analysis of the singular spectrum, which provides an increase in sensitivity. …”
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A deep neural network for general scattering matrix by Jing Yongxin, Chu Hongchen, Huang Bo, Luo Jie, Wang Wei, Lai Yun

“…Moreover, inverse design based on the DNN is made possible by applying the gradient descent algorithm. Finally, we demonstrate an application of the DNN, which is to design scatterers with desired scattering properties under special conditions. …”
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Emulating Realistic Bidirectional Spatial Channels for MIMO OTA Testing by Wei Fan, Pekka Kyösti, Jesper Ø. Nielsen, Lassi Hentilä, Gert F. Pedersen

“…The simulation results are further supported by measurements in a practical MPAC setup. The proposed algorithm is shown to be a valid method to emulate bidirectional spatial channel models.…”
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A Novel Ferroptosis-Related Gene Signature for Prognosis Prediction in Ewing Sarcoma by Runhan Zhao, Zefang Li, Yanran Huang, Chuang Xiong, Chao Zhang, Hao Liang, Jingtao Xu, Xiaoji Luo

“…Based on the train cohort, AURKA, RGS4, and RIPK1 were identified as key genes through the univariate Cox regression analysis, the random survival forest algorithm, and the multivariate Cox regression analysis and utilized to establish a prognostic FRG signature. …”
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Modeling and 1 : 1 Internal Resonance Analysis of Cable-Stayed Shallow Arches by Jiangen Lv, Zhicheng Yang, Xuebin Chen, Quanke Wu, Xiaoxia Zeng

“…The frequency- and force-response curves are obtained by using the Newton–Raphson method in conjunction with the pseudoarclength path-following algorithm. The cascades of period-doubling bifurcations leading to chaos are obtained by applying numerical simulations. …”
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A review of state-of-the-art resolution improvement techniques in SPECT imaging by Zhibiao Cheng, Ping Chen, Jianhua Yan

“…It delves into advancements in detector design and modifications, projection sampling techniques, traditional reconstruction algorithm development and optimization, and the emerging role of deep learning. …”
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Visualisation of the numerical solution of partial differential equation systems in three space dimensions and its importance for mathematical models in biology by Heiko Enderling, Alexander R.A. Anderson, Mark A.J. Chaplain, Glenn W.A. Rowe

“…Themathematical extension of models to three spatial dimensions from one or twois often a trivial task, whereas the visualisation of the results is more complicated.The scope of this paper is to apply the established marching cubesvolume rendering technique to the study of solid tumour growth and invasion,and present an adaptation of the algorithm to speed up the surface renderingfrom numerical simulation data. …”
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A Review of Numerical Techniques for Frictional Contact Analysis by Govind Vashishtha, Sumika Chauhan, Riya Singh, Manpreet Singh, Ghanshyam G. Tejani

“…This review paper delves into the future research that prioritizes developing computationally efficient algorithms and parallel computing strategies. Advancements in constitutive modelling are vital for improved accuracy, along with enhanced contact detection algorithms for complex geometries and large deformations. …”
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Using Open-Source Components to Process Interferometric TerraSAR-X Spotlight Data by Michael Jendryke, Timo Balz, Houjun Jiang, Mingsheng Liao, Uwe Stilla

“…The paper focuses on the implementation of this algorithm for high-resolution spotlight InSAR in a public domain tool; hence, it becomes available to a larger research community. …”
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A Unified Bayesian Model for Generalized Community Detection in Attribute Networks by Qiang Tian, Wenjun Wang, Yingjie Xie, Huaming Wu, Pengfei Jiao, Lin Pan

“…To optimize the objective function of the model, we use an effective Gibbs sampling algorithm. Experiments on a number of synthetic and real networks show that our model has superior performance compared with some baselines on community detection.…”
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A Deep Learning Based Traffic State Estimation Method for Mixed Traffic Flow Environment by Fan Ding, Yongyi Zhang, Rui Chen, Zhanwen Liu, Huachun Tan

“…This article presents a traffic state estimation method based on a deep learning algorithm under a low and dynamic CVs penetration rate environment. …”
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C-BERT: A Mongolian reverse dictionary based on fused lexical semantic clustering and BERT by Amuguleng Wang, Yilagui Qi, Dahu Baiyila

“…Initially, the K-means algorithm was used to cluster preprocessed entries from well-known Mongolian dictionaries into 5000 clusters, forming a comprehensive training set. …”
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Kinetics of Austenite Formation in a Medium-Carbon, Low-Alloy Steel with an Initial Martensite Microstructure: Influence of Prior Austenite Grain Size by Navneeth Rajakrishnan, Morteza Sadeghifar, Pinaki Bhattacharjee, Henri Champliaud, Mohammad Jahazi

“…The differences in austenite formation kinetics as a function of prior austenite grain size were quantified and modeled in the framework of diffusion-controlled nucleation and growth theories using the genetic algorithm optimization.…”
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MARKETING RESEARCH IN THE FIELD OF PUBLIC ADMINISTRATION by Viktor Sychenko, Olha Kudyrko

“…The data collection algorithm was summarized and the analysis of the main elements of the marketing research process for the field of public administration was carried out, in particular, the question of qualitative research methods, which can be used when collecting primary information from respondents, was investigated in detail. …”
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Machine vision model for drip leakage detection of pipeline. by Cong Xiao, Yiyuan Zhou, Yanwen Wu, Guodong Zhang

“…The droplet boundary extraction algorithm is proposed, and the three-dimensional model of the target droplet is established, so the volume calculation problem of the droplet is solved, which provides a way of thinking for drip leakage detection of the pipeline.…”
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Back Analysis of Rock Hydraulic Fracturing by Coupling Numerical Model and Computational Intelligent Technology by Shaojun Li, Hongbo Zhao, Xiating Feng, Quan Jiang, Qiancheng Sun

“…The artificial bee colony algorithm is applied in back analysis to find the optimal in situ stress and elastic parameters. …”
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Information Security Risk Management Model for Big Data by Min Yang

“…On the other hand, this research also optimizes and improves the fuzzy mathematical analysis method and proposes a fuzzy comprehensive assessment method as the core algorithm for the risk assessment layer in the model. …”
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Importance Analysis of Causative Nodes for Accident Chains of Railway Locomotive Operation Based on STPA-PageRank Method by Ping WAN, Wei-Lun YANG, Jie-Wen LUO, Xiao-Feng MA

“…Then, the complex network theory and PageRank algorithm were utilised to calculate the importance of every node in directed-weighted network formed by those accident chains. …”
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Cost-efficient behavioral modeling of antennas by means of global sensitivity analysis and dimensionality reduction by Slawomir Koziel, Anna Pietrenko-Dabrowska

“…Our methodology involves a rapid global sensitivity analysis (GSA) algorithm developed to determine a set of parameter space directions that maximize antenna response variability. …”
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