Bounds on the Excess Minimum Risk via Generalized Information Divergence Measures by Ananya Omanwar, Fady Alajaji, Tamás Linder

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Implementation of Chernobyl disaster optimizer based feature selection approach to predict software defects [version 2; peer review: 2 approved, 1 not approved] by Himansu Das, Ajay Kumar Jena, Kunal Anand

“…The proposed procedure intends to unwrap the best features for a prediction model while minimizing errors. …”
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Prediction of High-ozone Events Using GAM, SMOTE, and Tail Dependence Approaches in Texas (2005–2019) by Benjamin Brown-Steiner, Xiong Zhou, Matthew J. Alvarado, Brook T. Russell

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Enabling Robust Exoplanet Atmospheric Retrievals with Gaussian Processes by Yoav Rotman, Luis Welbanks, Michael R. Line, Peter McGill, Michael Radica, Matthew C. Nixon

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An ensemble prediction approach to weekly Dengue cases forecasting based on climatic and terrain conditions by Sougata Deb, Cleta Milagros Libre Acebedo, Gomathypriya Dhanapal, Chua Matthew Chin Heng

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Singular Value Decomposition (SVD) Method for LiDAR and Camera Sensor Fusion and Pattern Matching Algorithm by Kaiqiao Tian, Meiqi Song, Ka C. Cheok, Micho Radovnikovich, Kazuyuki Kobayashi, Changqing Cai

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A Robust Framework for Probability Distribution Generation: Analyzing Structural Properties and Applications in Engineering and Medicine by Aadil Ahmad Mir, Shamshad Ur Rasool, S. P. Ahmad, A. A. Bhat, Taghreed M. Jawa, Neveen Sayed-Ahmed, Ahlam H. Tolba

“…A specific subclass of this family, termed the “ASP Rayleigh distribution” (ASPRD), is introduced that features two parameters. We conducted a comprehensive statistical analysis of the ASPRD, exploring its key properties and demonstrating its superior adaptability. …”
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DisCo P-ad: Distance-Correlation-Based <i><b>p</b></i>-Value Adjustment Enhances Multiple Testing Corrections for Metabolomics by Debmalya Nandy, Debashis Ghosh, Katerina Kechris

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Artificial intelligence for herbicide recommendation: Case study for the use of clomazone in Brazilian soils by Hamurábi Anizio Lins, Matheus de Freitas Souza, Lucrecia Pacheco Batista, Luma Lorena Loureiro da Silva Rodrigues, Francisca Daniele da Silva, Bruno Caio Chaves Fernandes, Stefeson Bezerra de Melo, Paulo Sergio Fernandes das Chagas, Daniel Valadão Silva

“…The general performance of the model was evaluated by its precision and error values, namely: coefficient of determination (R2), mean absolute relative error (RMSE), mean absolute error (MAE), mean estimation error (MBE), and the coefficient Pearson correlation test (r). …”
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Quantifying momentum and influencing factors of tennis players using the XGBoost model by Donghong Wang, Xu Zhang, Yuneng Xie, Qinyan Zhu

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Analysis of corn price forecast in China based on Lasso-XGBoost-SHAP by Wenming Cheng, Fangyuan Li

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A Spatially‐Distributed Machine Learning Approach for Fractional Snow Covered Area Estimation by Shalini Mahanthege, William Kleiber, Karl Rittger, Balaji Rajagopalan, Mary J. Brodzik, Edward Bair

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<i>In situ</i> and <i>ex situ</i> variability of phenological and morphological features in <i>Caltha palustris</i> L. under the conditions of the West Siberian forest steppe by Т. I. Fomina

“…Morphometric data were processed in the PAST program using statistical indicators: the arithmetic mean with an error (M ± mM), minimum and maximum values of the trait (lim), and coefficient of variation (Cv). …”
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A Pipeline for Multivariate Time Series Forecasting of Gas Consumption in Pelletization Process by Thadeu Pezzin Melo, Jefferson Andrade, Karin Satie Komati

“…The methodology was tested on a dataset with 45 operational parameters collected over 90 days from an industrial plant, with predictions evaluated using Root Mean Squared Error (RMSE). In step (iii), twelve features were identified as the most relevant based on the Random Forest importance index. …”
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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

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A Novel Method for Describing Texture of Scar Collagen Using Second Harmonic Generation Images by Guannan Chen, Gaoqiang Liu, Xiaoqin Zhu, Mingyu Liu, Encai Zhang, Jichun Li, Kun Zhang, Lihang Lin

“…Generalized boosted regression trees were calculated with the computed data, and R² and root-mean-square error (RMSE) statistical analysis were used to determine accuracy. …”
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Parcel-scale crop planting structure extraction combining time-series of Sentinel-1 and Sentinel-2 data based on a semantic edge-aware multi-task neural network by Zhiguang Tang, Xiangdong Wang, Qin Jiang, Haizhu Pan, Gang Deng, He Chen, Yuanhong You, Sijia Li, Haiyan Hou

“…Results show: 1) SEANet achieves accurate extraction of parcel boundaries, extracting a total of 175,000 parcels, and demonstrates a relative error of 6.98% compared to statistical yearbook data. …”
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A Multi-Objective Bio-Inspired Optimization for Voice Disorders Detection: A Comparative Study by Maria Habib, Victor Vicente-Palacios, Pablo García-Sánchez

“…Further, the conformal prediction is leveraged to quantify uncertainty in the feature-selected models, ensuring statistically valid confidence intervals for predictions.…”
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Enhancing No Reference Laparoscopic Video Quality Assessment with Evolutionary ANFIS by Biswas Sria, Palanisamy Rohini

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Transmuted exponential-compound Weibull distribution for modelling of positively skewed data by Nnaemeka Martin Eze, Waheed Babatunde Yahya

“…Some fundamental mathematical and statistical properties associated with this new distribution, such as ordinary moments, moment generating function, mean, variance, quantile function, survival function, hazard function, Renyi entropy and order statistics were derived and presented in an explicit structure. …”
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