Prediction of Clavien Dindo Classification ≥ Grade III Complications After Epithelial Ovarian Cancer Surgery Using Machine Learning Methods by Aysun Alci, Fatih Ikiz, Necim Yalcin, Mustafa Gokkaya, Gulsum Ekin Sari, Isin Ureyen, Tayfun Toptas

“…We used 49 predictors to develop the best algorithm. Mean absolute error, root mean squared error, correlation coefficients, Mathew’s correlation coefficient, and F1 score were used to determine the best performing algorithm. …”
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Assessment of Bone Aging—A Comparison of Different Methods for Evaluating Bone Tissue by Paweł Kamiński, Aleksander Gali, Rafał Obuchowicz, Michał Strzelecki, Adam Piórkowski, Marcin Kociołek, Elżbieta Pociask, Joanna Kwiecień, Karolina Nurzyńska

“…The use of artificial intelligence in medical data analysis produces comparable outcomes; however, when dealing with a large number of descriptors, selecting the most optimal ones through statistical analysis enables the identification of the best solution quickly.…”
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A Methodological Research for Development and Psychometric Properties of a New Instrument for Religious Attitudes Test on Organ Donation among Muslim Population by Sakineh Rakhshanderou, Samira Daneshvar, Morteza Abdoljabbari, Marzieh latifi, Mohtasham Ghaffari

“…SPSS version 16 and EQS 6.4 software were used for data analysis. Results: The obtained instrument included 15 items. …”
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Large Gradient Subsidence Monitoring in Mining Area Based on LuTan-1 SAR Images by X. Zhang, H. Zhao, X. Tang, T. Li, X. Zhou, X. Zhang

“…In order to provide feasible technical solutions for monitoring large gradient deformation in mining areas, the research focus on the application capability analysis of LuTan-1 SAR data to monitor large gradient deformation in typical mining areas. …”
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Retrieval of pseudo-BRDF-adjusted surface reflectance at 440 nm from the Geostationary Environmental Monitoring Spectrometer (GEMS) by S. Sim, S. Choi, D. Jung, J. Woo, N. Kim, S. Park, H. Kim, U. Jeong, H. Hong, K.-S. Han

“…In this study, the Geostationary Environment Monitoring Spectrometer (GEMS) data were used, and a comparative analysis of the GEMS BSR and GEMS LER retrieved in this study revealed an improvement in the relative root mean squared error (rRMSE) accuracy of 3 %. …”
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ANALISIS KOMPARASI PERSEPSI KONSUMEN TERKAIT HARGA, KUALITAS PRODUK DAN KEMASAN DALAM KEPUTUSAN PEMBELIAN TEH SYAHI HALEEB DAN TEH SUSU ALADDIN by Angga Istighfar, David Sukardi Kodrat

“…Analysis and hypothesis test use validity and reliability, descriptive analysis, and MANOVA analysis. …”
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Synergistic application of artificial intelligence and response surface methodology for predicting and enhancing in vitro tuber production of potato (Solanum tuberosum). by Rajermani Thinakaran, Ecenur Korkmaz, Başak Ünver, Seyid Amjad Ali, Zeshan Iqbal, Muhammad Aasim

“…Results were analyzed by response surface regression analysis (RSRA) of Response Surface Methodology (RSM), followed by data validation and prediction with machine learning (ML) models. …”
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CLIMATIC VARIABILITY IN THE ERA OF MIS‑11 (370–440 KA BP) ACCORDING TO ISOTOPE COMPOSITION (ΔD, Δ18O, Δ17O) OF ICE FROM THE VOSTOK STATION CORES by A. N. Veres, A. A. Ekaykin, D. O. Vladimirova, A. V. Kozachek, V. Ya. Lipenkov, A. A. Skakun

“…The data resulted from the interpretation demonstrated that the relative humidity fluctuated within the measurement error of ±5%. …”
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Predicting pediatric age from chest X-rays using deep learning: a novel approach by Maolin Li, Jiang Zhao, Huanhuan Liu, Biao Jin, Xuee Cui, Dengbin Wang

“…A dataset comprising 128,008 images was retrospectively collected from two large tertiary hospitals in Shanghai. Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) were employed as main evaluation metrics across age groups. …”
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Performance assessment and optimization of Ti6Al4V helical hole milling process by Gururaj Bolar, Vikas Marakini, Raviraj Shetty, Sawan Shetty, Adithya Hegde

“…In the case of predictive models, BPANN performs better than the RSM technique in accurately predicting the data, with errors of 2.31%, 2.32%, 1.56%, and 1.24% for TF, RF, MT, and SR, respectively. …”
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Predictors of the Intention to Stop Using Smart Devices at Bedtime Among University Students in Saudi Arabia: Cross-Sectional Survey by Manal Almalki

“…The questionnaire collected data on demographics, smart device usage habits, perceived negative effects on sleep, and physical sleep disturbances. …”
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Toward the Question of the Victims' Number of Political Repressions for Orthodox Belief in Russia in ХХ century by Somin Nikolai

“…The technique is based on the process’s analysis of the data input of new persons to the Database of New Russian martyrs and Confessors which has been developed in PSTGU. …”
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Movie Box Office Prediction Based on IFOA-GRNN by Wei Lu, Xiaoqiao Zhang, Xinchen Zhan

“…By using the actual box office data and performing virtual simulation calculations, the root means square error of the IFOA-GRNN model predicting the movie box office is 0.3412, and the classification accuracy is about 90%. …”
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The Impact of Macroeconomic Indicators on Indonesia’s Foreign Exchange Reserve Position by Surya Rahmawati, Suriani Suriani

“…The researchers used secondary data in the form of monthly time series, as well as quantitative analysis using multiple linear regression. …”
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A Novel Anti-DRFM Active Jammer Method for Two-Station Netted Radar Based on Extended Kalman Filtering by Yasong Luo, Zhaodong Wu, Chengxu Feng, Shengliang Hu

“…Active jammers in the form of digital radio frequency memory (DRFM) could produce false targets with a coherence of range and velocity, making it increasingly efficient in interrupting radar systems based on data correlation analysis. By integrating the temporal variability characteristic and mitigating the impact of measurement errors inherent in the radar system, we propose a novel false target recognition methodology for a two-station netted radar utilizing extended Kalman filter (EKF) and the Neyman–Pearson criterion. …”
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Creating vector profile graph in ArcGIS Pro based on hiking trail tracking with AllTrails app by Klemen Prah

“…The vector profile graph is important for route’s geometric measurements and spatial analysis in GIS. The model was created in an Excel table, based on the AllTrails output Excel data, and implemented in ArcGIS Pro. …”
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Entropy-Based Human Activity Measure Using FMCW Radar by Hak-Hoon Lee, Hyun-Chool Shin

“…The proposed method was validated through experiments comparing estimated activity levels with motion sensor-based ground truth data. The results demonstrate that the proposed approach significantly improves accuracy, achieving a lower Root Mean Square Error (RMSE) and higher correlation with ground truth values than conventional methods. …”
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A predictive model for electrospun based Polyvinyl alcohol (PVA) nanofibers diameter using an artificial neural network by Kamran-ul-Haq Khan, Imran Ahmad Siddiqui

“…Also, a low value of average absolute error i.e., 0.06 is obtained after the evaluation of the developed model.…”
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Prevention and Detection Methods for Enhancing Security in an RFID System by Jing Huey Khor, Widad Ismail, Mohammad Ghulam Rahman

“…A lightweight cryptographic algorithm that conforms to the EPCglobal Class-1 Generation-2 standard is proposed to prevent replay attack, denial of service, and data leakage issues. The security of the protocol is validated by using formal analysis tool, AVISPA. …”
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Remaining Useful Life Predictionmethod for Lithium-ion Batteries Based on CEEMD-AKF by CHEN Xiang, XIA Fei

“…Finally, a probability density function (PDF) was obtained based on Monte Carlo (MC) simulation, which was used to evaluate the uncertainty of RUL prediction. The experimental analysis on the NASA data set shows that the CEEMD-AKF method can not only reduce the modeling complexity, but also can effectively improve RUL prediction accuracy.…”
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