Research on Mechanical Properties and Parameter Identification of Beam-Column Joint with Gusset Plate Angle Using Experiment and Stochastic Sensitivity Analysis by Xian Dong, Yadi Wang

“…An improved chaotic particle swarm optimization (ICPSO) neural network algorithm was used to study the stochastic sensitivity. …”
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Gauge Deterioration Prediction of Urban Rail Transit Lines Based on CEEMD and SVR by JIA Qingtian, LIN Haijian, JIN Zhong

“…The PSO (particle swarm optimization) algorithm is utilized to optimize the SVR (support vector regression machine) to train and test the extracted data after calibrating the optimal parameters of the prediction model. …”
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Real Flight Application of a Monocular Image-Based Aircraft Collision Decision Method by Peter Bauer, Antal Hiba, Tamas Zsedrovits

“…This paper considers real flight application of a monocular image-based aircraft collision decision algorithm developed in a previous paper. First, it briefly summarizes the theory based on the previous paper and extends the results with a detailed evaluation of possible special cases. …”
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Dynamic Optimization Design of Cranes Based on Human–Crane–Rail System Dynamics and Annoyance Rate by Yunsheng Xin, Gening Xu, Nina Su

“…A particle swarm optimization (PSO) algorithm was used to optimize the crane structural design, with the structure parameters as the basic variables, the annoyance rate model as the objective function, and the acceleration amplitude and displacement amplitude of the crane as the constraint conditions. …”
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Comparison Study on the Exact Dynamic Stiffness Method for Free Vibration of Thin and Moderately Thick Circular Cylindrical Shells by Xudong Chen, Kangsheng Ye

“…With the employment of the Wittrick-Williams algorithm, natural frequencies of circular cylindrical shells can be obtained. …”
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Crack path predictions and experiments in plane structures considering anisotropic properties and material interfaces by P.O. Judt, A. Ricoeur

“…Numerical crack paths are predicted based on FE calculations of the boundary value problem in connection with an intelligent adaptive re-meshing algorithm. Considering fracture toughness anisotropy and accounting for inelastic effects due to small plastic zones in the crack tip region, the numerically predicted crack paths of different types of specimens with material interfaces and internal boundaries are compared to subcritically grown paths obtained from experiments.…”
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Station Location Optimization for the One-Way Carsharing System: Modeling and a Case Study by Yongjun Chen, Lulin Wang, Jingjing Tian

“…To solve the MILP model, the extension of the Benders decomposition algorithm is adopted. The practicality of the proposed approach is demonstrated in a case study in Beijing, China. …”
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A GIS Based Unsteady Network Model and System Applications for Intelligent Mine Ventilation by Hui. Liu, Shanjun Mao, Mei. Li, Pingyang Lyu

“…Firstly, a GIS based unsteady network model is proposed, and its algorithm steps are brought out. Secondly, a prototype web system, named 3D VentCloud, is designed and developed based on the front and end technique, which effectively integrates the proposed algorithms. …”
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Estimation of Sound Speed Profiles Using a Random Forest Model with Satellite Surface Observations by Zhenyi Ou, Ke Qu, Chen Liu

“…However, due to the complex dynamic activities of the ocean, the relationship between parameters is not strictly linear, often resulting in an unsatisfactory inversion result. In this study, an algorithm based on the random forest (RF) integrated learning model, for SSP inversion, was proposed. …”
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Analysis of the Correlation between Emerging Industry Development and University Students’ Entrepreneurship Based on Big Data by Yufeng Pan, Hui Huang

“…Through the neural network algorithm, this article evaluates the entrepreneurship of college students, so as to provide a digital basis for the layout of strategic emerging industries to attract talents and entrepreneurship. …”
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Electromagnetic target detection model for unmanned aerial vehicle platforms based on Bayesian detection by DENG Wenjie, CHEN Song, WU Di, LIU Kaiyue, XU Ziliang, HE Runze

“…The performance of the novel model is derived and analyzed under a scanning coverage search algorithm. Analytical and simulation results indicate that the proposed model effectively describes the process of electromagnetic target detection. …”
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Areas simultaneously susceptible and (dis-)connected to debris flows in the Dolomites (Italy): regional-scale application of a novel data-driven approach by Felix Pitscheider, Stefan Steger, Marco Cavalli, Francesco Comiti, Vittoria Scorpio

“…The approach comprised the modeling of debris flow release susceptibility using an interpretable machine learning algorithm, the training of a logistic regression model, and the combination of the resultant classified maps to create a joint susceptibility-connectivity map. …”
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Examination the effects of Stefan blowing on chemical reactive flow of hybrid nanofluid over an infinite disk with Cattaneo-Christove heat flux model by Munawar Abbas, Nargis Khan, M. S. Hashmi, Shahram Rezapour, Mustafa Inc

“…This model's goal is to evaluate the effectiveness of the Hamilton-Crosser and Xue hybrid nanofluid models. The (RKF-45th) algorithm is employed to numerically solve this issue. …”
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Point spread function estimation with computed wavefronts for deconvolution of hyperspectral imaging data by Miroslav Zabic, Michel Reifenrath, Charlie Wegner, Hans Bethge, Timm Landes, Sophia Rudorf, Dag Heinemann

“…Abstract Hyperspectral imaging (HSI) systems acquire images with spectral information over a wide range of wavelengths but are often affected by chromatic and other optical aberrations that degrade image quality. Deconvolution algorithms can improve the spatial resolution of HSI systems, yet retrieving the point spread function (PSF) is a crucial and challenging step. …”
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Maximum Power Point Tracking Based on Sliding Mode Control by Nimrod Vázquez, Yuz Azaf, Ilse Cervantes, Eslí Vázquez, Claudia Hernández

“…Obtained results gave a good dynamic response, as a difference from traditional schemes, which are only based on computational algorithms. A traditional algorithm based on MPPT was added in order to assure a low steady state error.…”
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Arrhythmia Classification Techniques Using Deep Neural Network by Ali Haider Khan, Muzammil Hussain, Muhammad Kamran Malik

“…The primary concerns that affect the success of the developed arrhythmia detection systems are (i) manual features selection, (ii) techniques used for features extraction, and (iii) algorithm used for classification and the most important is the use of imbalanced data for classification. …”
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Thermal Esophageal Injury following Ingestion of Boiling Mushroom Water by Allison Prevost, Adam Talley, Emily Klepper, Elizabeth McDonough

“…To better standardize care in these rare esophageal injuries, the development of a clinical care algorithm may be beneficial to provide clinicians with a guide for management based on outcomes of previously reported cases.…”
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Using the High-Level Based Program Interface to Facilitate the Large Scale Scientific Computing by Yizi Shang, Ling Shang, Chuanchang Gao, Guiming Lu, Yuntao Ye, Dongdong Jia

“…The block based Gauss Jordan algorithm as a real example of large-scale scientific computing is used to evaluate those issues presented above. …”
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We are entering a new era of problems: AI-generated images in research manuscripts by Kabir Suman Dash, Vini Mehta, Priyanka Kharat

“…This article examines the impacts of AI algorithms used in instances of academic fraud. This perspective's problem is pertinent not just to computer scientists. …”
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Fast and accurate near-duplicate image elimination for visual sensor networks by Zhili Zhou, QM Jonathan Wu, Fang Huang, Xingming Sun

“…Then in each near-duplicate group, we adopt PageRank algorithm to analyze the contextual relevance among images to select and reserve seed image and remove the others. …”
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