Improving spatial resolution of Aqua MODIS and GCOM-C chlorophyll-a data for Cyprus coastal waters monitoring by Sofiia Drozd, Nataliia Kussul, Andrii Shelestov

“…Chlorophyll-a (Chl-a), a key water quality indicator, is widely monitored via satellites to assess marine health. While satellite data provide broad coverage, their coarse spatial resolution limits detailed coastal analysis. …”
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Construction and validation of nomogram prediction model for ketoacidosis in elderly diabetic patients based on baseline data and glycolipid metabolism by Aijin Niu, Jing Zhuang, Yangdi Li, Wei Wei

“…Methods Baseline, glycolipid metabolism, and related data were collected. Risk factors were screened by multifactor logistic regression analysis to construct a model. …”
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PCA-FSA-MLR Model and Its Application in Runoff Forecast by GUO Cunwen, CUI Dongwen

“…To improve the accuracy of runoff forecast,and establish a runoff forecast model combining principal component analysis (PCA),future search algorithm (FSA),and multiple linear regression (MLR),this paper reduces the dimensionality of the sample data by PCA,selects 8 standard test functions and simulates and verifies FSA under different dimensional conditions,optimizes MLR constant terms and partial regression coefficients by FSA,proposes a PCA-FSA-MLR runoff forecast model,constructs PCA-LS-MLR,PCA-FSA-SVM,and PCA-SVM models with dimensionality reduction processing by PCA and FSA-MLR,LS-MLR,FSA-SVM,and SVM without dimensionality reduction processing as a comparison model,and verifies each model through forecasting the annual runoff and monthly runoff in December of Longtan station in Yunnan Province.The results show that:①FSA has better optimization accuracy and global extremum search ability under different dimensional conditions;②The average absolute relative error of the annual runoff and monthly runoff in December of Longtan station through PCA-FSA-MLR model are 1.63% and 3.91% respectively,and its forecast accuracy is better than the other 7 models,with higher forecast accuracy and stronger generalization ability;③For the same model,the forecast accuracy after dimensionality reduction processing by PCA is better than that without dimensionality reduction processing,so the data dimensionality reduction by PCA is helpful to improve the forecast accuracy of models.…”
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Comparative study of five-year cervical cancer cause-specific survival prediction models based on SEER data by Yuping Pu, Jundong Liu, Kei Hang Katie Chan

“…However, the retrospective study design, potential SEER data entry errors, and the lack of genetic markers and detailed treatment protocols should be considered when interpreting the results.…”
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Spatio-Temporal Transformer Networks for Inland Ship Trajectory Prediction with Practical Deficient Automatic Identification System Data by Youan Xiao, Xin Luo, Tengfei Wang, Zijian Zhang

“…This study introduces a data processing technique to refine AIS data, encompassing segmentation, outlier elimination, missing point interpolation, and uniform interval resampling, aiming to enhance trajectory analysis reliability. …”
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Coconut Testa Flour Sub-Fractions: Correlation Between FTIR Spectral Data and α-Glucosidase Inhibitory Activities by Rasika Gunarathne, Savani Ulpathakumbura, Nazrim Marikkar, Lalith Jayasinghe, Jun Lu

“…In OPLS regression analysis, the model obtained with third-derivative spectral data was identified as the best, exhibiting the highest regression coefficients and the lowest root mean square errors. …”
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Comparative Study for Classification Algorithms Performance in Crop Yields Prediction Systems by Halbast Rashid Ismael, Adnan Mohsin Abdulazeez, Dathar A. Hasan

“…Therefore, developing the quality of the crop yields using recent technologies is a crucial procedure to obtain competitive crops. Nowadays, data mining is an emerging research field in agriculture especially in the predicting and analysis of crop yield. …”
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Automated oil spill detection using deep learning and SAR satellite data for the northern entrance of the Suez Canal by Mohamed Zakzouk, Abdulaziz M. Abdulaziz, Islam Abou El-Magd, Abdel Sattar Dahab, Elham M. Ali

“…In addition, the area prediction analysis confirmed the superior performance of the Egyptian-data-trained model, which estimated a total affected area of 421.20 km2, closely aligning with the ground truth of 425.20 km2, whereas the EMSA-CSN-data-trained model underestimated oil spills of around 323.98 km2. …”
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The Finno-Ugric Peoples of the Middle Volga and Southern Urals Based on the 1920 All-Russian Census: New Data by Leyla F. Sayfullina

“…The discrepancies between the primary data and the published totals are explained by possible loss of some cards and/or errors in their summarization. …”
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Occupational status and health disparities among workers-An empirical study based on China health and nutrition survey data. by Qingxia Li, Yingji Li

“…This study uses data from the China Health and Nutrition Survey (CHNS) in 2004, 2006, and 2015 and employs a fixed-effects model based on Driscoll-Kraay standard errors to investigate the impact of occupation type, employment type, and work unit type on workers' health and the underlying mechanisms. …”
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Individual Travel Knowledge Graph-Based Public Transport Commuter Identification: A Mixed Data Learning Approach by Song Hu, Jiancheng Weng, Quan Liang, Wei Zhou, Peizhao Wang

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Automated Digitization Approach for Road Intersections Mapping: Leveraging Azimuth and Curve Detection from Geo-Spatial Data by Ahmad M. Senousi, Wael Ahmed, Xintao Liu, Walid Darwish

“…The solution enables transportation agencies to make data-driven maintenance decisions by providing reliable, standardized intersection inventories. …”
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Leveraging Open-Source Tools to Analyse Ground-Based Forest LiDAR Data in South Australian Forests by Spencer O’Keeffe, Bruce H. Thomas, Jim O’Hehir, Jan Rombouts, Michelle Balasso, Andrew Cunningham

“…This paper investigates the application of open-source software and methods for forest LiDAR analysis, with a focus on enhancing forest inventory metrics in the radiata pine forests of South Australia’s Green Triangle region. …”
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An Improved Processing Method for Low-Frequency Spaceborne Full-Polarimetric SAR Data Affected by Ionospheric Faraday Rotation by Xun Wang, Yunhua Zhang, Dong Li

“…However, the application effectiveness of the data acquired by such a sensor depends on the processing for the effects of ionospheric Faraday rotation (FR) and possibly-existing certain system errors. …”
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Accident Analysis Modeling and Case Study of Hydrogen Refueling Station Using Root Cause Analysis (RCA) by Il Jae Lee, A Ran Lee, Kyung-Sun Lee

“…Many countries, including Korea, are constructing hydrogen refueling stations; however, safety concerns persist due to accidents caused by equipment failures and human errors. While various accident analysis models exist, the application of the root cause analysis (RCA) technique to hydrogen refueling station accidents remains largely unexplored. …”
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Enhancing root-zone soil moisture estimation using Richards' equation and dynamic surface soil moisture data by Xizhuoma Zha, Wenbin Zhu, Yan Han, Aifeng Lv

“…The HYDRUS-1D model, which is widely applied, typically uses atmospheric boundary conditions to simulate soil water movement under atmospheric influence. Comparative analysis of the HYDRUS-1D and SSMRE models against site-measured data reveals that for HYDRUS-1D, the correlation coefficients (R) across 5 cm,10 cm,20 cm,50 cm are 0.654, 0.621, 0.549 and 0.48, with root mean square errors (RMSE) of 0.03, 0.03, 0.03, and 0.04, respectively. …”
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The Dif Identification in Constructed Response Items Using Partial Credit Model by Heri Retnawati

“…The significance of DIF was identified by comparing the discrepancy between the difficulty level parameter and the error in the CONQUEST output results. The results of the analysis showed that from 18 items that had been analyzed there were 4 items which had not been identified load DIF, there were 5 items that had been identified containing DIF but not statistically significant and there were 9 items that had been identified containing DIF significantly. …”
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Loss Analysis in Optical Fiber Transmission by Anusha Mushtaque, Abi Waqas Memon, Zarlish Mushtaq, Aftab A. Memon, B. S. Chowdhry

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Comparative Analysis of Electricity Consumption Forecast by Mehet Ali ARSLAN, Tarık TALAN

“…In the current study, Türkiye's hourly electricity consumption data between 2016 and 2024 were examined. These data were transformed into a 108-month consumption data set. …”
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System Runs Analysis with Process Mining by S. A. Shershakov, V. A. Rubin

“…Modern application monitoring and error tracking tools provide only rather straightforward log search and filtering functionality. …”
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