Joint monitoring of mean and variance using Max-EWMA control chart under lognormal process with application to engine oil data by Fatimah A. Almulhim, Seher Malik, Muhammad Hanif, Abaker A. Hassaballa, Muhammad Nabi, Muhammad Usman Aslam

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Generalized confidence interval for the common coefficient of variation of several zero-inflated Birnbaum-Saunders distributions with an application to wind speed data by Usanee Janthasuwan, Suparat Niwitpong, Sa-Aat Niwitpong

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Retracted: Application of Fast P2P Traffic Recognition Technology Based on Decision Tree in the Detection of Network Traffic Data by Journal of Electrical and Computer Engineering

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A Modelling Framework for the Hydraulic Simulation of a Water Distribution System Under Data Scarcity: Application in the City of Farsala, Greece by Pantelis Sidiropoulos, Achilleas Papadomanolakis, Aikaterini Lyra, Nikitas Mylopoulos, Lampros Vasiliades

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A Robust Multispectral Reconstruction Network from RGB Images Trained by Diverse Satellite Data and Application in Classification and Detection Tasks by Xiaoning Zhang, Zhaoyang Peng, Yifei Wang, Fan Ye, Tengying Fu, Hu Zhang

“…However, the relatively high cost of multispectral sensors and lower spatial resolution limit the widespread application of multispectral data, and existing reconstruction algorithms suffer from a lack of diverse training datasets and insufficient reconstruction accuracy. …”
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Application of Multiple Detection Data in the Analysis of Snowstorm Processes in Xinjiang during the Central Asia Extreme Precipitation Observation Test (CAEPOT) by Yong Zeng, Lianmei Yang, Zepeng Tong, Zuyi Zhang

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SWAT‐Based Hydrological Data Assimilation System (SWAT‐HDAS): Description and Case Application to River Basin‐Scale Hydrological Predictions by Ying Zhang, Jinliang Hou, Juan Gu, Chunlin Huang, Xin Li

“…Abstract This paper presents the development and application of a physically based hydrological data assimilation system (HDAS) using the gridded and parallelized Soil and Water Assessment Tool (SWATGP) distributed hydrological model. …”
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Early prediction of cardiovascular events following treatments in female breast cancer patients: Application of real-world data and artificial intelligence by Quynh T.N. Nguyen, Shwu-Jiuan Lin, Phung-Anh Nguyen, Phan Thanh Phuc, Min-Huei Hsu, Chun-Yao Huang, Chin-Sheng Hung, Christine Y. Lu, Jason C. Hsu

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An equipment behavioral study in fluidic production processes using data for an optimized predictive maintenance: Application to pneumatic valves in biopharmaceutical Industry by Wadel Florent, Tighazoui Ayoub, Houssin Remy, Coulibaly Amadou

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A Procedure for Extending Input Selection Algorithms to Low Quality Data in Modelling Problems with Application to the Automatic Grading of Uploaded Assignments by José Otero, Ana Palacios, Rosario Suárez, Luis Junco, Inés Couso, Luciano Sánchez

“…When selecting relevant inputs in modeling problems with low quality data, the ranking of the most informative inputs is also uncertain. …”
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Objective and Intelligent Acquisition of Two Types of Decision Data Based on Online Comment Information and Its Application in Emergency Decision-Making by Ruipu Tan, Lehua Yang, Jing Li

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Application of leak-off test data in formation fracture gradient correlation for Niger Delta Basin natural gas wells development by Ezeh Ernest Mbamalu, Nwosi Hezekiah Andrew

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Correction: Multiple myeloma as a challenging multidimensional random process: a data-driven web-based application for treatment selection by Alexander S. Luchinin, Tigran G. Gevorkyan, Anastasia A. Semenova

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A case study on the application of a data-driven (XGBoost) approach on the environmental and socio-economic perspectives of agricultural groundwater management by Sheng-Wei Wang, Yen-Yu Chen, Shu-Han Hsu, Yu-Hsuan Kao, Masaomi Kimura, Li-chiu Chang, Tzi-Wen Pan, Chuen-Fa Ni

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Preliminary application of the Sharesource connect data collection and analysis system in the management of continuous renal replacement therapy in the intensive care unit by Wensan Wu, Jianli Wang, Chen Chen, Junqi Feng, Shuyi Zhang, An Shi, Jing Zhang, Xinyi He, Jiangchen Peng, Mingli Zhu

“…Abstract Background This study investigated the application of software-based data monitoring for quality control (QC) in continuous renal replacement therapy (CRRT) management. …”
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Nonfragile Synchronization of Semi-Markovian Jumping Neural Networks with Time Delays via Sampled-Data Control and Application to Chaotic Systems by K. Sivaranjani, M. Sivakumar, S. Dharani, K. Loganathan, Ngawang Ngmgyel

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M_split Estimation with Local or Global Robustness Against Outliers—Applications and Limitations in LiDAR Data Processing by Patrycja Wyszkowska, Robert Duchnowski

“…Light Detection and Ranging (LiDAR) systems become more prevalent in remote sensing for modeling buildings, engineering structures, or their deformations and displacements. Processing data from such systems, usually point clouds, can be performed using different methods, including M_split estimation. …”
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The application of naive bayes method for final project topic selection within the project-based learning framework in the data mining course by Denny Kurniadi

“…This study aims to explore the potential application of the Naive Bayes Method in predicting the determination of final project topics for students within the context of project-based learning (PBL) in the Data Mining course. …”
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Exploring RNA-Seq Data Analysis Through Visualization Techniques and Tools: A Systematic Review of Opportunities and Limitations for Clinical Applications by Farhana Manzoor, Cyruss A. Tsurgeon, Vibhuti Gupta

“…This review aims to outline the current state-of-the-art data visualization techniques and tools commonly used to frame clinical inferences from RNA-seq data and point out their benefits, applications, and limitations. …”
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Optimised block bootstrap: an efficient variant of circular block bootstrap method with application to South African economic time series data by James Daniel, Kayode Ayinde, Adewale F. Lukman, Olayan Albalawi, Jeza Allohibi, Abdulmajeed Atiah Alharbi

“…Consequently, the OBB method was applied to forecasting of the South Africa economic data, extending up to 2027. The novel approach presented by OBB offered a valuable tool for improving predictive accuracy in time series forecasting, with potential applications across diverse fields such as finance and environmental modeling.…”
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