Bayesian inference of a spatially dependent semi-Markovian model with application to Madagascar Covid'19 data. by Angelo Raherinirina, Stefana Tabera Tsilefa, Tsidikaina Nirilanto, Solym M Manou-Abi

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Extended Application of Double Machine Learning in Corporate Financial Resilience Research: Based on Data Factor Marketization by Fangzhou Song, Yang Huang, Chengkun Liu

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Reckoning applications of Z-iteration: Data dependence and solution to a delay Caputo fractional differential equation by Salman Zaheer, Ankush Chanda, Hemant Kumar Nashine

“…Further, we attain results concerning stability, data dependence, and error accumulation of the Z-iterative scheme. …”
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A method for quantifying uncertainty in spatially interpolated meteorological data with application to daily maximum air temperature by C. T. Doherty, C. T. Doherty, W. Wang, H. Hashimoto, H. Hashimoto, I. G. Brosnan

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Multicomponent Stress–Strength Reliability with Extreme Value Distribution Margins: Its Theory and Application to Hydrological Data by Rebeca Klamerick Lima, Felipe Sousa Quintino, Melquisadec Oliveira, Luan Carlos de Sena Monteiro Ozelim, Tiago A. da Fonseca, Pushpa Narayan Rathie

“…To demonstrate the practical relevance of the proposed models, a real dataset is analyzed, focusing on the monthly water capacity of the Shasta Reservoir in California (USA) during August and December from 1980 to 2015. This application showcases the effectiveness of the derived expressions in modeling real-world data.…”
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Research and Application of Data-driven Forecast Method for Water Level Increment of Small and Medium-sized Rivers by DING Wu, LIN Hanxiong, WANG Hangang, ZHANG Wei, YANG Bin

“…Focusing on the forecast of flash flood disasters in small and medium-sized rivers,this paper adopts three data-driven forecast models to forecast the maximum water level increment.With Paitan Town,Zengcheng District,Guangzhou City as the research area,the mathematical modeling and accuracy evaluation of the three models are carried out.The analysis shows that the forecast accuracy of machine learning is the highest,but the forecast results are not interpretable.The forecast accuracy of the similarity analysis model is medium,and the prediction results have good cognition and interpretability.The overall prediction accuracy of the “rainfall-water level increment” relationship model is the lowest,but its operation is simple.The calculation of the similarity analysis model and machine learning model is relatively complex,relying on computer-aided calculation,and the results of the “rainfall-water level increment” relationship model can be plotted as graphs.Considering the forecast accuracy and convenience,multiple models such as the machine learning model and similarity analysis model can be applied for the forecast to improve the forecast accuracy if there is support from auxiliary equipment such as computers and mobile phone applications.Without support from computers and other basic equipment,the “rainfall-water level increment” relationship model can provide a convenient forecast method for flash flood forecast and early warning in small and medium-sized rivers.…”
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A New Comprehensive Well Logging Data Method for Evaluating Fracture Reservoir Productivity and Its Application by SHEN Qinyu, LI Shengqing, CUI Yunjiang, SU Yuanda, WANG Peichun, TANG Xiaoming

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Application of Swarm Intelligence Optimization Algorithm in Logistics Delivery Path Optimization under the Background of Big Data by Guofu Zhao

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Choosing the right strategy to model longitudinal count data in Epidemiology: An application with CD4 cell counts by Daniele de Brito Trindade, Raydonal Ospina, Leila D. Amorim

“…Conventional regression models for this type of data are inadequate, leading to improper conclusions and inference. …”
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A comprehensive image dataset for the identification of lemon leaf diseases and computer vision applicationsMendeley Data by A K M Fazlul Kobir Siam, Prayma Bishshash, Md. Asraful Sharker Nirob, Sajib Bin Mamun, Md Assaduzzaman, Sheak Rashed Haider Noori

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Approximate Bayesian Computation for a Dual-Failure-Modes Models and Its Application to Failure Times Data by Mustapha Muhammad, Badamasi Abba, Jinsen Xiao

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A robust implicit Jungck iterative scheme: stability, data dependency, and applications to nonlinear integral equations by Kapil Kumar, Hind Alamri, Vivek Kumar, Faik Gürsoy, Ioannis K. Argyros, Nawab Hussain

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An empirical study on real-time data analytics for connected cars: Sensor-based applications for smart cars by Jonghyuk Kim, Hyunwoo Hwangbo, Soyean Kim

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Future of Breast Cancer Diagnosis: A Review of DL and ML Applications and Emerging Trends for Multimodal Data by Beibit Abdikenov, Tomiris Zhaksylyk, Olzhas Shortanbaiuly, Yerzhan Orazayev, Nursultan Makhanov, Temirlan Karibekov, Victor Suvorov, Aruzhan Imasheva, Kurmash Zhumagozhayev, Aigerim Seitova

“…The findings highlight the importance of interdisciplinary collaboration, application of standardized data sets, and continuous improvement of the methodology to facilitate clinical uptake of AI-based breast cancer diagnostic systems.…”
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An Analysis on the Applicability of Meta-Heuristic Searching Techniques for Automated Test Data Generation in Automatic Programming Assessment by Musa et al.

“…Therefore, this study has conducted a comparative evaluation to identify any applicable MHST to support efficient Automated Test Data Generation (ATDG) in executing a dynamic-functional testing in APA. …”
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Governance challenges in water data management: Insights from the application of the practitioner governance assessment tool in Palestine by Amro Wawi, Gül Özerol

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Application of Wireless Sensor Network Model Based on Big Data Ecosystem in Intelligent Health Monitoring System by Jiaqing Tu

“…Based on this, this paper studies and analyzes the application of wireless sensor network model based on big data ecosystem in intelligent health monitoring. …”
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The Application of Artificial Intelligent Algorithms in Electric Propulsion by Tian Bin, An Bingchen, Xie Kan, Yang Sulan

“…These algorithms can not only train models based on data to optimize the performance of electric thrusters, but also analyze and solve the mathematical and physical models of plasmas within electric thrusters. …”
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Discussion on Application Software Modular Design for DDU by RAO Tiangui, LI Kai, LI Yufeng

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Application of Learning Analytics to Improve Higher Education by Carlos Llopis-Albert, Francisco Rubio

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