A dual-purpose solar collector as a parallel flow heat exchanger: A novel mathematical framework by Mustafa Moayad Hasan, Krisztián Hriczó

“…The analysis yielded a relative percentage error of 2.94% and an average relative percentage error of 1.3%. …”
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Accurate and Robust Stellar Rotation Periods Catalog for 82771 Kepler Stars Using Deep Learning by Ilay Kamai, Hagai B. Perets

“…Our analysis shows strong correlations between error levels and stellar parameters. …”
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Federated learning based reference evapotranspiration estimation for distributed crop fields. by Muhammad Tausif, Muhammad Waseem Iqbal, Rab Nawaz Bashir, Bayan AlGhofaily, Alex Elyassih, Amjad Rehman Khan

“…Traditional centralized approaches require aggregating all data in one place, which can be problematic due to privacy concerns and data transfer limitations. …”
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Factors affecting the patient safety climate in military hospitals by Rouhollah Zaboli, Abbas Abaszadeh, mostafa Shahibinejad

“…The sample size was 200 people of nursing staff in the mentioned hospitals. Data was collected through a questionnaire. The criterion for data analysis was an exploratory and confirmatory factor analysis. …”
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Random Ensemble MARS: Model Selection in Multivariate Adaptive Regression Splines Using Random Forest Approach by Mehmet Ali Cengiz, Dilek Sabancı

“…At the end of the analysis, two different MARS model sets were created, one yielding the smallest Mean Square Error for the test data (Test MSE) and the other yielding the smallest Generalised Cross-Validation (GCV) value. …”
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Kinematic Calibration of Industrial Robots Based on Distance Information Using a Hybrid Identification Method by Guanbin Gao, Yuan Li, Fei Liu, Shichang Han

“…Based on the results of the analysis and the kinematic model of the robot, the error model with displacements as the reference is built, which is linearized for the convenience of the following identification. …”
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Purchasing Prediction Using Machine Learning Algorithms for Optimizing Inventory Management by Reza Hamdi Prayetno, Rani Destika Purba, Kyrene Wirawan, Kelvin Sweet, Evta Indra

“…This research aims to optimize HP spare parts inventory management at Store X using the Long Short-Term Memory (LSTM) method. By analyzing sales data for 2023 which consists of 96,630 lines, the research applies systematic stages: data acquisition, preprocessing, exploratory data analysis, model building, and evaluation. …”
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Highway subgrade stability prediction model based on depth separation convolutional fusion network by Yubian Wang

“…It aims to facilitate the calculation of irregular area scope and the analysis of normal object motion law and reduce the time consumed in the direct search for the nearest neighbor of point data. …”
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False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review. by Anastasia Chalkidou, Michael J O'Doherty, Paul K Marsden

“…However, the investigation of multiple indices on a single data set can lead to significant inflation of type-I errors. …”
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Performance Testing of Medical Ultrasound Diagnostic Equipment Based on Tissue-Mimicking Phantom by Hao LIU, Longyang JIA, Ruiyao JIANG

“…In addition, the study retrospectively analyzed the performance testing data of 19 medical ultrasound diagnostic equipments over the past three consecutive years and conducted statistical analysis. …”
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A Novel Inversion Method of Manufacturing Flaws in the Packaging of Conformal Load-Bearing Antenna Structure by P. Li, W. Y. Xu, L. W. Song, Y. Y. Qiu

“…A 12.5 GHz CLAS with microstrip antenna array is used in the simulation, which indicates the effectiveness of the novel inversion method. Finally, the error analysis of the inversion method is presented by numerical simulation; the results is that the inversed error could be less than 10%, if the measurement error of far field data is less than 0.45 dB in amplitude and ±5° in phase.…”
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An Intelligent Trajectory Prediction Algorithm for Hypersonic Glide Targets Based on Maneuver Mode Identification by Mingjie Li, Chijun Zhou, Lei Shao, Humin Lei

“…For the test data set, when the observation time for the target is 200 s and the prediction time is 150 s, with a fast prediction speed, our method’s average error of spatial distance (AESD) is less than 2.9 km, and the maximum error of spatial distance (MESD) is less than 6.9 km. …”
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Zenith Tropospheric Delay Forecasting in the European Region Using the Informer–Long Short-Term Memory Networks Hybrid Prediction Model by Zhengdao Yuan, Xu Lin, Yashi Xu, Jie Zhao, Nage Du, Xiaolong Cai, Mengkui Li

“…By merging the features extracted by both models, the prediction capabilities of each can complement one another, allowing for a more comprehensive analysis of the characteristics present in ZTD data. …”
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Effect of Implant Angulation on the Rotational Displacement of a 3-Unit Bridge after Digital Impression by Mahnaz Arshad, Amirmohsen Asgari, Mohamad Javad Kharazifard, Narges Ameri

“…Since repeated-measures ANOVA showed that the interaction effect was significant (P = 0.010), the data were analyzed by subgroup analysis. The 3Shape scanner showed significantly higher accuracy for C-D region in model 2 (P = 0.001), and A-B region in model 1 (P ≤ 0.01). …”
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A Model for Predicting IoT User Behavior Based on Bayesian Learning and Neural Networks by Xin Xu, Chengning Huang, Yuquan Zhu

“…The model is based on Bayesian learning and neural networks and is designed to provide insights into the future behavior of users, allowing for the allocation of resources in advance. In this paper, the data are preprocessed by data merging and format processing, and then the association rules are mined by association rules analysis. …”
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Research of the Transmission Accuracy Test Method of Precise Reducer used in Robot by Gong Yu, Zhou Xiaoju, Xu Leichen, Zhang Jingcai, He Jun

“…Based on existing standards and the analysis of applications,the test methods of transmission error,hysteresis error,backlash and torsional stiffness is discussed. …”
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Investigating the Relationship between Air Pollutants and Meteorological Parameters in the Agricultural Sector of Mazandaran Province Using Logistic Regression by Majid Ghorbani, Abolfazl Mahmoodi, Mohammad Khaledi

“…Moreover, the findings from the test phase as well as the prediction error in the network test phase and the correlation between the actual data and the predicted data indicate that the coefficient of determination R2 between the actual data and the predicted data is equal to 0.62. …”
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Performance of Rigid and Soft Transfer Templates Using Viscous and Fluid Resin-Based Composites in the Attachment Bonding Process of Clear Aligners by Cristina Valeri, Angelo Aloisio, Stefano Mummolo, Vincenzo Quinzi

“…Results. This analysis aims at localizing the sources of error in the considered models. …”
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Evaluation of HY-2B SMR Sea Surface Temperature Products from 2019 to 2024 by Ping Liu, Yili Zhao, Wu Zhou, Shishuai Wang

“…The direct comparison assesses bias and root mean square error (RMSE), while ETC analysis estimates the random error of the SST measurement systems and evaluates their ability to detect SST variations. …”
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Analisis Pengaruh Citra Terhadap Kombinasi Kriptografi RSA dan STEGANOGRAFi LSB by Agus Rakhmadi Mido, Erik Iman Heri Ujianto

“…Keamanan data dan informasi saat ini merupakan aspek penting dalam proses pertukaran pesan melalui jaringan internet. …”
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