Studies on Submersible Short-Circuit Blowing Based on Orthogonal Experiments, Back Propagation Neural Network Prediction, and Pearson Correlation Analysis by Xiguang He, Bin Huang, Likun Peng, Jia Chen

“…Subsequently, a Back Propagation Neural Network (BPNN) and Pearson correlation analysis were employed to train the experimental data; further examination of the correlation between individual factors and blowing served as an enhancement to the orthogonal experiments. …”
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Feasibility of estimating the percentage of desert pavement using Tasseled Cap Transformation indices extracted from Landsat 8 images by farzaneh Fotouhi Firoozabad, Atefeh jebali

“…The principal component analysis algorithm in the factor analysis method detected the selected indicators of Greenness and Brightness by analyzing the input data output. …”
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StegGPT: A Novel Foundation-Model-Based Character-Level Linguistic Steganography Method Utilizing Large Language Models by Omer Farooq Ahmed Adeeb, Seyed Jahanshah Kabudian

“…Using advanced techniques in Natural Language Processing (NLP), Artificial Intelligence (AI), and deep learning within the domain of information security, this study delves into the realm of steganography, revealing the restricted embedding capabilities of conventional language-centric approaches. A comparative analysis pits the newly minted algorithm against contemporaneous approaches, notably cutting-edge neural linguistic steganography (NLS), evaluating their algorithmic capacities in terms of Bits per Word (BpW) and Bits per Character (BpC), along with gauging their security and imperceptibility through metrics like Area Under the Curve (AUC), Equal Error Rate (EER) and Difference of Mean Perplexity (<inline-formula> <tex-math notation="LaTeX">$\Delta $ </tex-math></inline-formula> MP). …”
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Ergodic capacity analysis of STAR-RIS-NOMA over Nakagami-m fading channel with imperfect-CSI, inter-cell interference and SIC by Mahesh Babu Ammisetty, Madhu Ramarakula

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Automatic Detection of Equatorial Plasma Bubbles in Airglow Images Using Two-Dimensional Principal Component Analysis and Explainable Artificial Intelligence by Moheb Yacoub, Moataz Abdelwahab, Kazuo Shiokawa, Ayman Mahrous

“…These bubbles can cause signal scintillation, leading to signal loss and errors in position calculations. EPBs can be detected in images captured by All-Sky Imager (ASI) systems. …”
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Bias Analysis and Correction in Weighted-<i>L</i>₁ Estimators for the First-Order Bifurcating Autoregressive Model by Tamer Elbayoumi, Sayed Mostafa

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Extensive Numerical Analysis of PDF Parameters for Wind Energy in Brazil: A Study Across 27 Cities for 60 Years Wind Speed by Ahmed Badawi, Amaury Souza, I. M. Elzein, Hassan Ali, Alhareth Zyoud

“…Nine numerical methods, including Maximum Likelihood Method (MLM), Method of Moments (MM), Empirical Method (EM), Standard Deviation Method (STDM), Modified Maximum Likelihood Method (MMLM), Second Modified Maximum Likelihood Method (SMMLM), Graphical Method (GM), Least Mean Square Method (LSM), and Energy Pattern Factor Method (EPF), were used for parameter estimation. Statistical analysis was conducted using metrics such as Index of Agreement (IA), Root Mean Square Error (RMSE), Chi-square test (<inline-formula> <tex-math notation="LaTeX">$\chi 2$ </tex-math></inline-formula>), Mean Absolute Percentage Error (MAPE), and Relative Root Mean Square Error (RRMSE. …”
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Fitting method of concrete damage Poisson’s ratio model based on Kolmogorov-Arnold network by Yu Yang, Jiahui Xu, Qiangbing Zhou, Shichao Kong, Keyi Lin

“…The research first summarizes the influencing factors of the concrete damage Poisson’s ratio model from classical theories, then uses data obtained from measurements and finite element analysis to train the KAN to develop the concrete damage Poisson’s ratio prediction model. …”
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Choosing appropriate tools and referral criteria for vision screening of children aged 4–5 years in Canada: a quantitative analysis by Kevin Thorpe, Mayu Nishimura, Agnes Wong, Ashley Cohen, Daphne Maurer

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Computational Fluid Dynamics Analysis of the Impacts of Air Supply Velocity Modes on the Differential Pressure Precooling Efficiency of Peaches Stored in Ventilated Packaging by CHEN Yingmin, LINGHU Boxiang, ZHAO Mingzhang, SONG Haiyan

“…In this study, a numerical model for heat and mass transfer in the differential pressure precooling of peaches stored in layered packaging under different precooling conditions was constructed based on computational fluid dynamics. Through the analysis of experimental and simulation data, it was found that the maximum root mean square error (RMSE) between the constructed numerical model and the experimental group was 0.796 7 ℃, and the mean absolute percentage error (MAPE) was 6.74%, which demonstrated the feasibility and authenticity of the modeling method. …”
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Randomised Badger Culling Trial—no effects of widespread badger culling on tuberculosis in cattle: comment on Mills, Woodroffe and Donnelly (2024a, 2024b) by Paul R. Torgerson, Sonja Hartnack, Philip Rasmussen, Fraser I. Lewis, Peter O’Donnell, Thomas E. S. Langton

“…(doi:10.1098/rsos.240386)) re-evaluations of the Randomised Badger Culling Trial (RBCT) data. These include: (i) analysis of counts rather than rates; (ii) overfitting; (iii) modelling of ‘confirmed’ herd breakdowns rather than total herd breakdowns; and (iv) errors in the Bayesian analysis of the data. …”
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How Measurement Affects Causal Inference: Attenuation Bias Is (Usually) More Important Than Outcome Scoring Weights by Joshua B. Gilbert

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Evaluating Time Series Models for Monthly Rainfall Forecasting in Arid Regions: Insights from Tamanghasset (1953–2021), Southern Algeria by Ballah Abderrahmane, Morad Chahid, Mourad Aqnouy, Adam M. Milewski, Benaabidate Lahcen

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Fleet formation identification and analyzing method based on disposition feature for remote sensing by Fangli Mou, Zide Fan, Chuan’ao Jiang, Keqing Zhu, Lei Wang, Xinming Li

“…The robust disposition features are designed for various kinds of formations without using training data, enabling discrete remote sensing observations. …”
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Active location and recovery of unbalance problems in smart distribution networks by LI Yihong, PAN Yicheng, MA Meng, WANG Ping

“…Simulation results demonstrate the method's competitive performance in root cause localization accuracy and time efficiency, along with strong robustness against environmental disturbances such as measurement noise and data loss errors.…”
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Study on Conversion of Relative Soil Humidity to Volumetric Soil Water Content in China by LI Jiadi

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Shape characterisation for mounted additive manufacturing powders by Courtney Gallagher, Sagar Nikam, Emmett Kerr, Shaun McFadden

“…Benchmark comparisons with commercial 3D analysis revealed errors under 7.4 % for circularity, 2.2 % for convexity, and 3.9 % for solidity. …”
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A Deep Learning-Based Prediction and Forecasting of Tomato Prices for the Cape Town Fresh Produce Market: A Model Comparative Analysis by Emmanuel Ekene Okere, Vipin Balyan

“…A comparative analysis of three models based on Root Mean Square Error (RMSE) identifies LSTM as the most accurate model, achieving the lowest RMSE (0.2818), while SARIMA performs relatively well. …”
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A novel statistical framework for meta-analysis of total mediation effect with high-dimensional omics mediators in large-scale genomic consortia. by Zhichao Xu, Peng Wei

“…Leveraging the recent established asymptotic standard error of the R-squared (R2)-based mediation effect estimation for high-dimensional omics mediators, we have developed a novel meta-analysis framework requiring only summary statistics and allowing inter-study heterogeneity. …”
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Program Analisis Frekuensi Besaran Rancangan Berbasis Website by Ginanjar Dwi Prasetyo

“…The data used for this analysis consists of daily rainfall data from 11 stations in Sleman Regency from 2004 to 2018. …”
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