Bayesian and E-Bayesian Estimation for the Generalized Rayleigh Distribution under Different Forms of Loss Functions with Real Data Application by E. M. Eldemery, A. M. Abd-Elfattah, K. M. Mahfouz, Mohammed M. El Genidy

“…Finally, the proposed techniques are demonstrated using a set of real data from the medical field to clarify the applicability of the suggested estimators to real phenomena and to show that the discussed weighted compound linear exponential loss function is efficient and can be applied in a real-life scenario.…”
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Towards maximizing geospatial data usage in north eastern India using open-source scalable user-centric applications by P. S. Singh, D. Chutia, N. Nishant, A. Chouhan, V. Saikhom, S. P. Aggarwal, R. Kumar

“…The north eastern region of India is characterized by limited physical connectivity and challenging terrain, that requires innovative approaches for effective developmental planning and monitoring using geospatial data and user-centric applications. This paper focuses on leveraging space-based data and applications to address these challenges and enhance decision-making processes in governance. …”
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A Generalized Composition Approach in Network Data Envelopment Analysis for Complex Structures: An Application of Higher Education Institutions in Poland by Dimitrios Sotiros, Gregory Koronakos, Julia Żołądkiewicz

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Application of Data-Driven Tuned Fuzzy Inference System for Static Equivalencing of Power Systems with High Penetration of Renewable Energy by Engidaw Abel Hailu, George Nyauma Nyakoe, Christopher Maina Muriithi

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Application of quantitative protein mass spectrometric data in the early predictive analysis of membrane-bound target engagement by monoclonal antibodies by Armin Sepp, Morris Muliaditan

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Design of Dual Frequency Class E Resonant Converters for Simultaneous Wireless Power and Data Transfer in Low Power Applications by Narayanamoorthi R, Vigna K. Ramachandaramurthy, Dominic Savio A, Radomir Gono, Petr Bernat, Petr Kacor

“…This work proposes a novel approach for creating Class E resonant converters that can function at two frequencies, allowing the source and the load to transfer power and data simultaneously. Resonant converter performance can be negatively impacted by fluctuations in load and coupling between the coils, which are typical in real-time applications. …”
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Statistical analysis of adaptive progressive type-II censored competing risks data from generalized logistic distribution with application by Mustafa M. Hasaballah, Yusra A. Tashkandy, Oluwafemi Samson Balogun, M. E. Bakr

“…Building on previous research that explored maximum likelihood estimation and Bayesian inference under various censoring schemes, this study emphasizes the generalized logistic distribution’s adaptability for skewed data, making it highly applicable to reliability and life-testing studies. …”
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Improving Data Entry Quality in Enterprise Applications With NLP Methods: A Model Proposal Based on BERT and Deep Learning by H. Canli

“…In this study, a data validation system was developed to improve the accuracy of risk management data collected from an ERP application and to minimize data entry errors. …”
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A Variable Stiffness System for Impact Analysis in Collaborative Robotics Applications with FPGA-Based Force and Pressure Data Acquisition by Andrea D’Antona, Saverio Farsoni, Jacopo Rizzi, Marcello Bonfè

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Data mining application in unraveling the large-scale teleconnection and flood-inducing extreme precipitation events association in Jeddah City by Hadir Abdelmoneim, Sameh Ahmed Kantoush, Vahid Nourani, Mohamed Saber, Fahad Alamoudi

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Application of DTCWT Decomposition and Partial Differential Equation Denoising Methods in Remote Sensing Image Big Data Denoising and Reconstruction by Wei Zeng

“…When the noise variance is 0.030, the structure similarity, peak signal to noise ratio, and normalized signal to noise ratio are 0.74, 25.3, and 0.76, respectively, which are better than all other comparison models. The experimental data prove that the satellite remote sensing image data denoising model designed in this study has better denoising performance, and has certain application potential in high-precision satellite remote sensing image big data processing.…”
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Designing a Model for Improving Banking Recommender Systems Based on Predicting Customers’ Interests: Application of Data Mining Techniques by Maryam sadat Motaharinejad, Mohammad Mahdi Zolfagharzadeh, Ehsan Khadangi, Ali Asghar Sadabadi

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Design and application of unified big data platform of information system for the 14th National Games of the People’s Republic of China by Xinbo HUANG

“…In order to provide first-class information services for the 14th National Games of the People’s Republic of China, it is of great significance to establish a perfect unified big data platform of information system.At first, the core functionality of unified big data platform was expounded, and the platform technology framework was designed.Then, the key technologies of the platform such as competition private network data aggregation technology, big data distributed micro service architecture, data interaction function and 3D security system were analyzed respectively.Finally, according to the information service of the 14th National Games of the People’s Republic of China and the 11th National Games for Persons Disabilities ＆amp; the 8th National Special Olympic Games, the People’s Republic of China, the application of unified big data platform was analyzed.…”
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A New Support Vector Regression Model for Equipment Health Diagnosis with Small Sample Data Missing and Its Application by Qinming Liu, Wenyi Liu, Jiajian Mei, Guojin Si, Tangbin Xia, Jiarui Quan

“…Actually, it is difficult to obtain a large number of sample data due to equipment failure, and small sample data may also be missing. …”
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A Characterisation and Profiling of District Health Indicators in Zimbabwe: An Application of Principal Component Analysis in a Data Limited Setting by Shepherd Shamu, Simbarashe Rusakaniko, Charles Hongoro

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Editorial: Special Section on Challenges and Opportunities in Biomedical Big Data Analysis: From Large Language Models to Clinical Applications by Yanjie Wei, Huiling Zhang, Zhipeng Cai, Fa Zhang, Zhaolei Zhang

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Application of neural network modeling for identification of water bodies in river basins using Earth satellite remote sensing data by Natalia A. Dushenko, Maria M. Golovacheva, Mikhail V. Kapustin, Kristina S. Surtayeva

“…The article presents a methodology of water bodies’ segmentation in river basins according satellite Earth remote sensing data with application of neural networks and determination, with the use of the obtained results, water bodies’ areas and volumes of losses caused by additional evaporation from their surface in the Ural River basin.…”

Exploring the Potential of Refractive NeRFs for Photogrammetric Bathymetry - First Application to UAV-based Data from the Pielach River by A. Günthner, M. Brezovsky, F. Schulte, L. Winiwarter, G. Mandlburger, B. Jutzi

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A Fast Independent Component Analysis Algorithm for Geochemical Anomaly Detection and Its Application to Soil Geochemistry Data Processing by Bin Liu, Si Guo, Youhua Wei, Zedong Zhan

“…However, the traditional CFM failed to produce realistic results and has no significant use for prospecting indication. It is shown that application of the FICAA to geochemical data processing is effective.…”
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DAGSLAM: causal Bayesian network structure learning of mixed type data and its application in identifying disease risk factors by Yuanyuan Zhao, Jinzhu Jia

“…Methods This study proposes an extension of the NOTEARS algorithm, termed DAGSLAM, which is designed for Bayesian network structure learning with mixed-type data. The algorithm integrates continuous and categorical variables through a tailored loss function, enhancing its applicability to real-world epidemiological datasets. …”
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