Digitally twin driven ship cooling pump fault monitoring system and application case by Shaojuan Su, Zhe Miao, Yong Zhao, Nanzhe Song

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Application of Ontology Matching Algorithm Based on Linguistic Features in English Pronunciation Quality Evaluation by Shan Zhu

“…Thanks to the continuous advancement of speech processing technology, computer-assisted language learning systems are becoming more intelligent, not only pointing out learners’ pronunciation errors but also assessing their overall pronunciation level. …”
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Real-World Application of Digital Morphology Analyzers: Practical Issues and Challenges in Clinical Laboratories by Hanah Kim, Mina Hur, Giuseppe d’Onofrio, Gina Zini

“…The quality of blood film as well as staining techniques significantly influence the accuracy of DM analyzers, and poor-quality samples may lead to errors. In spite of reduced inter-observer variability compared with manual counting, an expert’s review is still needed for complex cases with atypical cells. …”
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WRTU-16T: Write-Enhanced Low-Power Radiation-Tolerant SRAM for Space Applications by Seung-Hyun Lee, Sung-Hun Jo

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Modified Kibria–Lukman Estimator for the Conway–Maxwell–Poisson Regression Model: Simulation and Application by Nasser A. Alreshidi, Masad A. Alrasheedi, Adewale F. Lukman, Hleil Alrweili, Rasha A. Farghali

“…Through rigorous Monte Carlo simulations and real-world applications, our results demonstrate that the CMKLE exhibits superior resilience to multicollinearity while consistently achieving lower mean squared error (MSE) values. …”
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The Application of Spatial Analysis and Time Series in Modeling the Frequency of Earthquake Events in Bengkulu Province by Fachri Faisal, Pepi Novianti, Jose Rizal

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A lithofacies modeling method based on a new integrated algorithm and its application by LEI Cheng,CUI Bingkai,ZHAI Guanghua,YE Yu,XU Qingyan,ZHANG Jinlin

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Development of YOLO-Based Mobile Application for Detection of Defect Types in Robusta Coffee Beans by Eko Dwi Nugroho, Miranti Verdiana, Muhammad Habib Algifari, Aidil Afriansyah, Hafiz Budi Firmansyah, Alya Khairunnisa Rizkita, Richard Arya Winarta, David Gunawan

“…However, the identification of defects in coffee beans is still largely performed manually, making the process error-prone and time-consuming. This study aims to develop a YOLO-based mobile application to detect defects in Robusta coffee beans quickly and accurately. …”
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Application of Volterra Nonlinear Compensation in 75-GHz mm-Wave Fiber-Wireless System by Long Chen, Jiangnan Xiao, Jianjun Yu

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Deep Learning-Based Real-Time Engine Part Inspection With Collaborative Robot Application by Onur Ardic, Gokcen Cetinel

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Efficient Strategy to Identify Gene-Gene Interactions and Its Application to Type 2 Diabetes by Donghe Li, Sungho Won

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Evaluation of concordance between measurement techniques using graphical methods and regression models with an application by Doğukan Özen

“…<p> <b>Results:</b> Results showed that there was a systematic constant error (bias) between the two measurement methods and the TUNEL method gave an average of 4.11 units higher than the Caspase 3 immunohistochemistry method. …”
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A Robust Game Approach for On Spot Price Cloud Markets in Microservice-Based Applications by Hamta Sedghani, Mauro Passacantando, Riccardo Lancellotti, Mina Zolfy Lighvan, Danilo Ardagna

“…As Cloud-based services become more numerous and dynamic, developing efficient service provisioning policies is increasingly challenging due to the impact of estimation errors in the operating parameters of applications such as execution time or request rate for each application and for each service. …”
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Device-Free AMR Crossing Detection Using LTE Signals for Smart Factory Applications by Hanae Otani, Tomoki Murakami, Kazuya Ohara, Yasushi Takatori, Tomoaki Ogawa

“…However, CSI obtained from an actual system typically includes phase offsets due to frequency synchronization errors and receive timing offsets between the transmitting and receiving stations, which degrade the sensing accuracy. …”
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Accounting information systems and their role in designing cloud accounting applications and their impact on decision-making by Asaad Mohammed Ali Wahhab, Mohsin Murtadha Abd-alrasool Maash

“…The results of the research showed the adoption of accounting information systems in the cloud program reduces transmission and writing errors, because the operations from restrictions to financial results are done automatically, and the adoption of databases in the cloud program affects the results as recalling the results that have been entered are chain and easy to use, and it is recommended Research designers of cloud programs Adoption of databases in the design of the cloud program because it facilitates the work of the program, with awareness of corporate management of the importance of cloud accounting because of its positive impact on decision-making. …”
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Enhancing predictive modeling across industries with automated machine learning: applications in insurance and agriculture by K. P. Swain, S. K. Mohapatra, Santosh Kumar Sahoo

“…The results showed that AutoML tools vary in effectiveness, with AutoGluon exhibiting superior performance on the insurance dataset due to its low Mean Squared Error (MSE). Similarly, TPOT excelled in optimizing crop yield predictions by automating machine learning pipelines. …”
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Assessing compensation and organizational variation with imperfect data: An application of count-based indices of variation by Salomon Alcocer Guajardo

“… An accurate assessment of human capital or labor force variation in organizations is predicated upon collecting error-free data. When organizations report imprecise human capital or labor force data, problematic data analytic issues arise because the application of frequency-based indices of variation obtain questionable measures of variation. …”
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The One-Dimensional (1D) Numerical Model: An Application to Oxygen Diffusion in Mitochondria Cell by Gandhi Napitupulu, Achmad Nagi, Mutiara Rachmat Putri, Ivonne Milichristi Radjawane

“…The best scenario with the lowest slope value and small Root Mean Square Error (RMSE) value is scenario 2 (Δt = 3,33E-4 s and Δx = 2,00E-5 cm). …”
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Application of Deep Learning for Stock Prediction Within the Framework of Portfolio Optimization in Quantitative Trading by Xiaoyu Qin

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Liquid Chromatography/Tandem Mass Spectrometry Method for Quantitation of Cremophor EL and Its Applications by V. Vijaya Bhaskar, Anil Middha

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