A Rectal Cancer Surgery Dataset: Use of artificial intelligence to aid automation of error identification by Walaa Ghamrawi, Nathan Curtis, Jialang Xu, Matt Boal, Evangelos Mazomenos, Eddie Edwards, Danail Stoyanov, Nader Francis

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Some methods of estimating the spatial pattern point data with application ( comparative study) by Jaufar Mousa Mohammed

“… The idea of this paper is to estimate spatial data points pattern by Inverse distance weighting, Teard surface analysis of first order and Ordinary kriging method, we calculate the mean absolute error MAE and root mean square error RMSE of these methods as standard to determine the best method to be adopted in the forecasting process, we have been using real data in this paper in the field of salinity dissolved in water wells in the province of kirkuk government , which has been obtained from the groundwater body in the Ministry of water Resources 2014 , and that all the calculations have been processed using matlab program with respect to another to methods …”
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Rating Supply Chain Risks Using the Combined Approach of FMEA Optimization and Gray Theory (Case Study: Mashhad Food Industry Units) by Mohsen Shafiei Nikabadi, Leila Helalian

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Research on Complex Association Network Model Based on LKJ Anomaly Data by YAN Sheng, YANG Xian, WANG Jili

“…Fault diagnosis of LKJ equipment based on its operation record data analysis is still based on manual work which is of low efficiency and error-prone. …”
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THE COMPARATIVE ANALYSIS AND RESEARCH OF METHODS OF CALCULATION OF LOSSES OF THE ELECTRIC POWER IN THE SYSTEMS OF ELECTRICAL POWER SUPPLY OF THE INDUSTRIAL ENTERPRISES by E. I. Gracheva, I. I. Ilyasov, A. N. Alimova

“…Classification of the mains determined, and probable statistical techniques of a loss estimate of the electric power depending on a method of receiving basic data is offered, to the used mathematical model and from the mode of receiving basic data. …”
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Optimal design for parameter estimation in EEG problems in a 3D multilayered domain by H. T. Banks, D. Rubio, N. Saintier, M. I. Troparevsky

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BanglaTaka: A dataset for classification of Bangladeshi banknotesMendeley Data by Md. Naimul Islam Nuhash, Sadia Akter

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Association analysis of chronic disease comorbidity combinations in elderly inpatients in Shenzhen city from 2017 to 2022: an analysis based on medical records data by Yanna LI, Fang DU, Liqun WU

“…The top 20 two- and three-disease combinations mainly consisted of hypertension, stroke, ischemic heart disease, heart failure, peripheral artery disease, dyslipidemia, and type 2 diabetes, with cardiovascular diseases predominating, followed by metabolic diseases. Association rule analysis showed that among the top 20 rules, the rule “(refractive errors and accommodation disorders) => (cataract)” had the highest lift value of 6.128. …”
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Calculation of Time-Varying Mesh Stiffness of Internal Mesh Transmission and Analysis of Influencing Factors by Jubo Li, Hengbo Zhao, Yanbo Ren, Jianjun Yang

“…Secondly, the tooth deviation ease-off diagram was derived from the modified tooth surface equations, which provided data support for the nonlinear contact analysis. …”
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Csv2xyd: A Python Software for Processing Large Biodiversity Datasets for Endemism Analysis by Jonathan Liria, Ana Soto-Vivas

“…Due to this, we developed csv2xyd a Python software with a graphical user interface to process data from CSV to XYD format for endemism analysis. …”
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Comparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size. by Valter Cesar de Souza, Sergio Augusto Rodrigues, Luís Roberto Almeida Gabriel Filho

“…The aim of this study was to evaluate the performance of alternative multivariate procedures for principal component analysis (PCA), using the Nonlinear Iterative Partial Least Squares (NIPALS) and Expectation-Maximization (EM) algorithms, for imputing missing data in time series of meteorological variables. …”
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Analysis of meteorological effects of cosmic ray neutron component based on data from mid-latitude stations by Kobelev P. G., Hamraev Y. B., Yanke V. G.

“…The technique developed on the basis of multifactor correlation analysis is applicable to processing data from any detectors of the worldwide network of neutron monitors. …”
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Optimizing Poisson-Lindley Parameter Estimation: LQM and Reliability Analysis Applied to Guinea Pig Survival Data by Sameera Othman

“…Through simulation and real data analysis, several estimation techniques are compared and contrasted, demonstrating the superiority of the Linear Quantile Moment approach in terms of accuracy and model fit. …”
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Incorporating Power-Law Model and ERA-5 Data for InSAR Tropospheric Delay Correction Analysis by Dongxu Huang, Junyu Wang, Menghua Li, Cheng Huang, Bo-Hui Tang

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Light-GBM based minority oversampling model using biomedical data analysis for breast cancer classification by Mukesh Soni, Mohammed Wasim Bhatt, Paul Ofori-Amanfo

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Comparison of 3DVar and EnSRF Data Assimilation Using Radar Observations for the Analysis and Prediction of an MCS by Shibo Gao, Jinzhong Min

“…EnSRF substantially improved the analysis of the MCS compared with an experiment without radar data assimilation, and it produced a slight but noticeable improvement over 3DVar in terms of both coverage and intensity. …”
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Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis by AN Jizhen, ZHENG Fuhao, LIU Yifan, CHEN Heng, XU Gang

“…After data pretreatment, a state prediction model of the induced draft fan was established based on BP neural network, and its error met the requirements of engineering. …”
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Data-driven thermal safety threshold analysis of friction component based on macro-micro interaction model by Jianpeng Wu, Ao Ding, Chengbing Yang, Hanshu Zhang, Liyong Wang, Heyan Li

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Analysis of Downstream Flood Risk in the Failure of Batman Dam with Two-Dimensional Hydraulic Modeling and Satellite Data by Gökçen Uysa, Enver Taşçı

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The Dynamic Prediction Method for Aircraft Cabin Temperatures Based on Flight Test Data by He Li, Jianjun Zhang, Liangxu Cai, Minwei Li, Yun Fu, Yujun Hao

“…The model validation results show that the established temperature environment prediction model can accurately predict the change curve of the cabin temperature during the flight of the aircraft, and the model has a good follow-up performance, which reduces the prediction error caused by the temperature hysteresis effect. …”
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