Quantum optimization algorithms for CT image segmentation from X-ray data by Kyungtaek Jun, Hyunju Lee

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Bayesian Tapered Narrowband Least Squares for Fractional Cointegration Testing in Panel Data by Oyebayo Ridwan Olaniran, Saidat Fehintola Olaniran, Ali Rashash R. Alzahrani, Nada MohammedSaeed Alharbi, Asma Ahmad Alzahrani

“…Fractional cointegration has been extensively examined in time series analysis, but its extension to heterogeneous panel data with unobserved heterogeneity and cross-sectional dependence remains underdeveloped. …”
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Data-driven FMEA approach for hazard identification and risk evaluation in digital health by Hafiz Muhammad Waseem, Saif Ul Islam, Stuart Harrison, Gregory Epiphaniou, Nikolaos Matragkas, Theodoros N. Arvanitis, Carsten Maple

“…Key findings highlighted significant risks, including unauthorized access, data corruption, transmission errors, and privacy breaches, that threaten patient safety and system reliability. …”
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Industrial IoT-Based Energy Monitoring System: Using Data Processing at Edge by Akseer Ali Mirani, Anshul Awasthi, Niall O’Mahony, Joseph Walsh

“…Based on the evaluation, the edge server efficiently processes the data with an average CPU utilization of up to 5.58% while avoiding measurement errors due to random power failures throughout the day.…”
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Brain tumor classification using GAN-augmented data with autoencoders and Swin Transformers by Abdullah Almuhaimeed, Anas Bilal, Abdulkareem Alzahrani, Malek Alrashidi, Mansoor Alghamdi, Raheem Sarwar

“…IntroductionBrain tumor classification remains one of the most challenging tasks in medical image analysis, with diagnostic errors potentially leading to severe consequences. …”
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Topology identification and parameters estimation of LV distribution networks using open GIS data by Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara

“…Furthermore, the minimal amount of SM data needed to minimize the error of cable length is analyzed.…”
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Utilising Smart-Meter Harmonic Data for Low-Voltage Network Topology Identification by Ali Othman, Neville R. Watson, Andrew Lapthorn, Radnya Mukhedkar

“…Topology identification approaches based on smart-meter data typically rely on Root Mean Square (RMS) voltage, current, and power measurements, which are limited in accuracy due to factors such as time resolution, measurement intervals, and instrument errors. …”
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The ortholog conjecture is untestable by the current gene ontology but is supported by RNA sequencing data. by Xiaoshu Chen, Jianzhi Zhang

“…We conclude that the ortholog conjecture remains largely valid to the extent that it has been tested, but further scrutiny using more and better functional data is needed.…”
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Determining the Scale of The Most Prominent Asset Management Firms Using Data Analytics by Erick Leonel Garcia Ibañez

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Mutual Validation of Data Sets for Analyzing Tilt Angles in Solar Active Regions by Lang Qin, Jie Jiang, Ruihui Wang

“…The mutually validated data sets effectively reduce measurement errors, enabling a more accurate analysis of the intrinsic properties of tilt angles. …”
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GDDKIA xml service, road traffic incidents data: availability and quality research by Natalia Dziuba, Stanisław Szombara

“…Additionally, in cases where geographic coordinates were missing, a geocoding method based on OpenStreetMap data was used. The analysis showed that the data from the General Directorate for National Roads and Motorways is partly incomplete and problematic, which limits its usefulness in further spatial analyses. …”
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Calibrating Strain Measurements: A Comparative Study of DAS, Strainmeter, and Seismic Data by Chih‐Chieh Chien, Peter Gerstoft, William Hatfield, Leo Hollberg, Bradley P. Lipovsky, John‐Morgan Manos, Robert J. Mellors, Dale P. Winebrenner, Mark A. Zumberge

“…To address this, we conducted a comparative analysis of strain data recorded by DAS, Optical Fiber Strainmeters (OFSs), and estimates derived from seismic data. …”
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Machine learning for battery quality classification and lifetime prediction using formation data by Jiayu Zou, Yingbo Gao, Moritz H. Frieges, Martin F. Börner, Achim Kampker, Weihan Li

“…We extract three classes of features from the raw formation data, considering the statistical aspects, differential analysis, and electrochemical characteristics. …”
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A Four‐Dimensional Variational Informed Generative Adversarial Network for Data Assimilation by Wuxin Wang, Boheng Duan, Weicheng Ni, Jingze Lu, Taikang Yuan, Dawei Li, Juan Zhao, Kaijun Ren

“…Furthermore, our model exhibits the lowest initial and forecast errors, outperforming state‐of‐the‐art DL‐based data assimilation (DA) methods. …”
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Identification and grading method of HCAs in gas pipelines based on multisource data fusion by Haoran TANG, Junnan XIONG, Zhiwei YONG, Wenjie CHEN, Aoru LIU, Qisheng WANG, Huiwen XIAO, Rongkang WANG

“…The spatial analysis feature and attribute processing capabilities of GIS were utilized to calculate building areas and integrate spatial and attribute data. …”
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Use of open-text responses to recode categorical survey data on postpartum contraception use among women in the United States: A mixed-methods inquiry of Pregnancy Risk Assessment... by Nicole K Richards, Christopher P Morley, Martha A Wojtowycz, Erin Bevec, Brooke A Levandowski

“…Comparing quantitative and qualitative responses revealed contradicting information, suggesting respondent misinterpretation and confusion surrounding the term "pregnancy prevention." Though this analysis may be limited by manual coding error and researcher biases, we avoided coding exhaustion via 1-hour coding periods and validated reliability through intercoder kappa scores.…”
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On One Co-Integration Issue of Trade Links of Azerbaijan, Russia, Belarus and Kazakhstan by E. G. Orudzhev, S. M. Huseynova

“…Statistical methods of information processing are applied in relation to the empirical analysis of non-stationary time series of the studied statistical data, and correctly tested modern econometric methods and all the necessary econometric testing procedures are used to build co-integration relations and the vector model of error correction taking into account the effects of external shocks. …”
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Macroeconomic Determinants of Investment Decisions for Medium and Large Enterprises in Poland’s Manufacturing Sector by Adam Andrzej Zając, Michał Wielechowski, Krzysztof Smoleń, Dariusz Karaś

“…Cointegration analysis and the Vector Error Correction Model (VECM) are employed to identify macroeconomic indicators that consistently impact the propensity to invest in specific sectors, while also assessing the presence of investment seasonality. …”
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Efficient transformed ratio-type estimator using single auxiliary information by Sana Amjad, Ismail Muhammad

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The Nature of Global Income Inequality and Its Determinants by Debesh Bhowmik

“…The article also examined the cointegration and vector error correction analysis among global income inequality, global unemployment rate, global GDP growth rate and global inflation rate, respectively during 1991‒2023, using data from the World Bank Database and World Inequality Database by applying Johansen cointegration test (1988). …”
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