APPLICATION OF THE GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) METHOD IN FORECASTING THE CONSUMER PRICE INDEX IN FIVE CITIES OF SOUTH SULAWESI PROVINCE by Ahmad Zaki, Lutfiah Shafruddin, Irwan Thaha

“…The model development steps include testing for data stationarity, determining the space-time sequence, calculating location weights, estimating parameters, testing model adequacy, comparing Root Mean Square Error (RMSE), and selecting the best model for forecasting. …”
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19~21 GHz GaAs high linearity power amplifier MMIC by Liu Xiaoyu, Han Chenghao, Ruan Wenwu, Guo Runnan, Liu Ling, Xu Xindong, Hou Zewen, Zhuang Yuan, Yu Xuming, Tao Hongqi

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An Examination of Authenticity and Content: Demonstrating The Epistle on Nafs al-amr Attributed to Jurjanī as Having Been Taken from al-Samarqandī’s al-Ma‘arif by Muhammet Maşuk Aktaş

“…Thus, certain considerations have been made regarding the probabilities of this historical error. Lastly, the article evaluates al-Samarqandī’s thought on nafs al-amr based on the passage and shows the connection of al-Samarqandī’s thoughts on nafs al-amr with the truth theory of propositions. …”
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A Study on Hyperspectral Soil Moisture Content Prediction by Incorporating a Hybrid Neural Network into Stacking Ensemble Learning by Yuzhu Yang, Hongda Li, Miao Sun, Xingyu Liu, Liying Cao

“…The relative prediction deviation (RPD), root mean square error (RMSE), and coefficient of determination (R²) on the test set are 4.577, 0.227, and 0.952, respectively. …”
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A new 3D plastoelastohydrodynamic lubrication model for rough surfaces by Shengyu You, Jinyuan Tang, Qiang Wang

“…Abstract Plastoelastohydrodynamic lubrication of rough surfaces (R-PEHL) is a cutting-edge area of research in interface fluid-structure coupling analysis. …”
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Irrigant and intracanal medicament choices in routine endodontic practice: A cross-sectional survey of British general dentists by Stefan V. Stefanescu, Maria Mihaela Iuga, Claudia Panzetta, Mauro Colangeli, Fernando Espada Salgado, Kavalipurapu Venkata Teja, Kaligotla Apoorva Vasundhara

“…The responses were analyzed using the Chi-square test (P < 0.05), with a 95% confidence level and a 5% margin of error. Results: Four hundred and twenty GDPs responded to the survey, representing 17.82% of the GDPs attending the conference. …”
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Prediction and Optimization of Civil Aviation Flight Delays Based on Machine Learning Algorithms by Qingwei Zhong, Yingxue Yu, Yiru Huang, Tianhang Zhang

“…Based on the experimental data, FlightNet-ST achieves a 14.47% reduction in Mean Absolute Error (MAE). Additionally, an attention mechanism enhances interpretability by highlighting key aspects that influence delays, such as departure time blocks and airport-specific trends. …”
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A Video SAR Multi-Target Tracking Algorithm Based on Re-Identification Features and Multi-Stage Data Association by Anxi Yu, Boxu Wei, Wenhao Tong, Zhihua He, Zhen Dong

“…The detection and tracking of ground-moving targets, through the analysis of their radiation properties and temporal variations relative to the background environment, represents a significant area of focus and innovation within the SAR research community. In this study, some key challenges in ViSAR systems are addressed, including the abundance of low-confidence shadow detections, high error rates in multi-target data association, and the frequent fragmentation of tracking trajectories. …”
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Analysis of the main provisions and features of Darwinism from logical and epistemological positions by E.V. Degtyarev

“…The author’s recommendations regarding the possible direction of further research consist, along with the use of the «Lego principle», in taking into account certain logical-epistemological features and shortcomings of the Darwinian theory revealed in the article and the resulting need to introduce significant changes in the foundations (principles) of studying problems related to the origin and development of life.…”
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Classification of forest development stages from national low-density lidar datasets: a comparison of machine learning methods by R. Valbuena, M. Maltamo, P. Packalen

“…We observed that RF and NN had the most balanced error matrices, with cross-validated predictions which were mainly unbiased for all DCs. …”
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Development of intelligent controller for high performance electric drives with hybrid CSA and RERNN technique by J. Prabhakaran, P. Thirumoorthi, M. Mathankumar, S. P. Mangaiyarkarasi

“…The experimental results demonstrate that the CSA-RERNN approach achieves lower error rates and better speed control. The system maintains response characteristics despite changes in the moment of inertia of the object, thereby ensuring long-term performance stability without deactivating the adaptation mechanism. …”
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Dynamic sealing simulation and performance optimization of conical rubber core in rotary blowout preventer by Lianglin Guo, Zhiqiang Huang, Hao Huang, Hao Zhang, Fubin Xin, Junjie Ji, Chengyu Xia, Hengda Che

“…This research can help effectively prolong the service life of the rubber core and reduce the risk of wellhead blowout.…”
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Prediction of permeability and porosity from well log data using the nonparametric regression with multivariate analysis and neural network, Hassi R’Mel Field, Algeria by Baouche Rafik, Baddari Kamel

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Analysis and Prediction of Coverage and Channel Rank for UAV Networks in Rural Scenarios With Foliage by Donggu Lee, Ozgur Ozdemir, Ram Asokan, Ismail Guvenc

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Sound Localization Training and Induced Brain Plasticity: An fMRI Investigation by Ranjita Kumari, Sukhan Lee, Pradeep Kumar Anand, Jitae Shin

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Optical Correction of Keratoconus with a Scleral Gas-Permeable Lenses by A. V. Myagkov, Yu. B. Slonimskiy, E. V. Belousova, T. S. Mitichkina, L. R. Bunyatova

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An Energy-Efficient Dynamic Feedback Image Signal Processor for Three-Dimensional Time-of-Flight Sensors by Yongsoo Kim, Jaehyeon So, Chanwook Hwang, Wencan Cheng, Jong Hwan Ko

“…With the recent prominence of artificial intelligence (AI) technology, various research outcomes and applications in the field of image recognition and processing utilizing AI have been continuously emerging. …”
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Smart Organization of Imbalanced Traffic Datasets for Long-Term Traffic Forecasting by Mustafa M. Kara, H. Irem Turkmen, M. Amac Guvensan

“…GRU had the best performance, achieving a MAPE (Mean Absolute Percentage Error) of 13.51%, whereas LSTM demonstrated the lowest performance, with a MAPE of 13.74%. …”
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A convolutional neural network-based deep learning approach for predicting surface chloride concentration of concrete in marine tidal zones by Mohamed Abdellatief, Mahmoud E. Abd-Elmaboud, Mohamed Mortagi, Ahmed M. Saqr

“…Results demonstrated CNN’s superiority, achieving a coefficient of determination (R2) = 0.849 and a lower root mean square error (RMSE) = 0.18%, outperforming conventional models. …”
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Numerical simulation of bearing capacity of aeolian sand-gabion by Zhiyi ZHANG, Bo ZHAO, Weiming GUAN, Chunmei CHU, Deyu QIAN

“…Taking Aeolian sand backfilling cages as the research object, the bearing capacity was studied through uniaxial compression experiments, numerical simulation experiments, and theoretical analysis. …”
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