STUDENT’S MISTAKES IN SOLVING PROBLEM BASED ON WATSON’S CRITERIA AND LEARNING STYLE by Buhaerah Buhaerah, Muhammad Nasir, M S Dangnga

“…This study uses an explanatory sequential design model. Data analysis techniques include Quantitative data analysis techniques, descriptive statistics, and inferential statistics. …”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…The evaluation performed using R-square and root mean square error to validate the proposed approach revealed values of 0.887 and 0.0091. …”
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Risk factors associated with poor pain outcomes following primary knee replacement surgery: Analysis of data from the clinical practice research datalink, hospital episode statisti... by Hasan Raza Mohammad, Rachael Gooberman-Hill, Antonella Delmestri, John Broomfield, Rita Patel, Joerg Huber, Cesar Garriga, Christopher Eccleston, Rafael Pinedo-Villanueva, Tamer T Malak, Nigel Arden, Andrew Price, Vikki Wylde, Tim J Peters, Ashley W Blom, Andrew Judge

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The Design and Validation of an Open-Palm Data Glove for Precision Finger and Wrist Tracking by Olivia Hosie, Mats Isaksson, John McCormick, Oren Tirosh, Chrys Hensman

“…In static conditions, it was found that the IMU had a worst case error across three trials of 7.01° and a mean absolute error (MAE) averaged over three trials of 4.85°, while RFSs had a worst case error of 3.77° and a MAE of 1.25° averaged over all five RFSs used. …”
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Development of a novel extension of Rayleigh distribution with application to COVID-19 data by Danish Qayoom, Aafaq A. Rather, Ohud A. Alqasem, Zahoor Ahmad, M. Nagy, Abdirashid M. Yousuf, A. H. Mansi, Eslam Hussam, Ahmed M. Gemeay

“…Abstract Effective analysis of medical data is essential for understanding complex healthcare phenomena. …”
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Research on a PCA-transformer-based prediction algorithm for gas concentration in working face by YANG Jian, SHU Longyong, ZHANG Shulin, QIN Kai, CUI Cong

“…Current research on gas concentration prediction in working faces of coal mines often suffers from limited feature dimensions and small dataset sizes, making it difficult to extract long-term fluctuation patterns from large-scale time-series data. To address this issue, this study proposes a Principal Component Analysis (PCA)-Transformer-based prediction algorithm for gas concentration in working faces. …”
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Research on the high-accuracy mileage statistics method based on the civil satellite data by Zunmin Liu, Chuijie Yi, Zhihong Liu, Xilong Zhang

“…Taking photoelectric five-wheel data as the accurate mileage, the error analysis is carried out. …”
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Development and validation of a data logger for thermal characterization in laying hen facilities by Letícia C. da S. R. Freitas, Ilda de F. F. Tinôco, Richard S. Gates, Matteo Barbari, Márcia G. L. Cândido, João V. Toledo

“…The experimental data logger reliably stored all collected data without error to the micro-SD card. …”
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Data-Driven Dynamic Optimization for Hosting Capacity Forecasting in Low-Voltage Grids by Md Tariqul Islam, M. J. Hossain, Md Ahasan Habib

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Context-aware implicit neural representations to compress Earth systems model data by Farinaz Mostajeran, Nikhil M. Pawar, Jonathan M. Villarreal, Salah A. Faroughi

“…Abstract Multiphysics, multiscale climate models, such as the Energy Exascale Earth System Model (E3SM) generate massive volumes of data over extended time periods to support long-term climate analysis. …”
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YLOMF: You Look Once for Multi-Feature—A Multi-Feature Multi-Task Network for Intelligent Real-Time Perception in Autonomous Driving by B. N. Anoop, S. K. Abhilash, Venu Madhav Nookala, S. Prita, S. Raghavendra

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Explanation of Air Quality Data Using Takagi–Sugeno Fuzzy Inference System by Alžbeta Michalíková

“…Therefore, we replaced the output linear functions with constant functions and subsequently optimised the system to achieve the lowest approximation error. From the point of view of data analysis, this approach allows us to obtain a system with a comparatively smaller approximation error. …”
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Cloud-based configurable data stream processing architecture in rural economic development by Haohao Chen, Fadi Al-Turjman

“…Initially, the model employs a 1D-CNN for feature extraction, followed by GRUs to capture temporal patterns in the data. Reinforcement learning further optimizes the model, enhancing the analysis and accuracy of multidimensional data inputs for more reliable price predictions. …”
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Evaluating the EVENODD Code: Principles, Applications, and Future Prospects in Data Storage Systems by Deng Jinxiang

“…Check codes have been developed to address these issues, allowing recovery of the original data even when errors occur. This paper provides a comprehensive analysis of the EVENODD code, a widely used parity code in error detection and correction applications. …”
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Application of data visualization technology in human resource management and employee resignation prediction by Xue Wang, Nannan Huang

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Graph Crypto-Stego System for Securing Graph Data Using Association Schemes by Anuradha Sabharwal, Pooja Yadav, Kamal Kumar

“…We provide experimental results, statistical analysis, error analysis, and key analysis that demonstrates the appropriateness and efficiency of the proposed technique.…”
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IMPROVING THE EFFICIENCY OF EXPERIMENTAL DATA PROCESSING AT CUBIC SPLINES’ INTERPOLATION BY “THE SHIFT TECHNIQUE” by V. A. Fedoruk

“…As a result of a comparative analysis of the calculated data obtained using the two methods, the author concludes that “the shift technique” in the test-performed program show better results that are in good agreement with the normal distribution within the error made to the test curve.…”
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From data to decisions: Leveraging ML for improved river discharge forecasting in Bangladesh by Md. Abu Saleh, H.M. Rasel, Briti Ray

“…Historical river discharge data spanning from 1990 to 2020, obtained from eight surface water stations, forms the basis of the analysis. …”
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Processing Method of Missing Monitoring Data of Concrete Dam Deformation Based on GRU by ZHAI Junjie, SHI Zhongwen, LI Jun, PAN Wenming, JIA Hailei, YE Sheng

“…The results show that the prediction residual value of this method is small, which is lower than the error limit specified in the specification. It can effectively process the missing data of deformation monitoring, and provide objective monitoring data for the subsequent analysis of dam deformation behavior.…”
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Design an intelligent model for suppliers productivity evaluation in sustainable supply chain by Majid Yarahmadi, Saeedeh Sakiniya

“…Purpose: This paper presents an intelligent method for applying Data Envelopment Analysis (DEA) to design a sustainable supply chain.Methodology: In the proposed method, for defuzzification of the ERM model, we used the -cutting technique. …”
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