Feasibility Study on the Use of a Portable NIR Spectrometer and Multivariate Data Analysis to Discriminate and Quantify Adulteration in Fertilizer by Ernest Teye, Charles L. Y. Amuah, Kofi Atiah, Ransford Opoku Darko, Kwadwo Kusi Amoah, Emmanuel Afutu, Rebecca Owusu

“…NIR models were built based on support vector machine (SVM) and random forest (RF) for identification, while different types of partial least square regression (PLS, iPLS, Si-PLS, and GaPLS) were used for quantification purposes. …”
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Modeling the effect of climate change to the potential invasion range of Piper aduncum Linnaeus by J.C. Paquit, R.I.P. Rama

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Machine learning techniques for estimating high–temperature mechanical behavior of high strength steels by C. Yazici, F.J. Domínguez-Gutiérrez

“…Various ML models—including Lasso Regression, Gradient Boosting, Random Forest, Extreme Gradient Boosting, Support Vector Regression, and Adaptive Boosting were rigorously evaluated to determine their predictive capabilities. …”
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Automated image-based identification and consistent classification of fire patterns with quantitative shape analysis and spatial location identification by Pengkun Liu, Shuna Ni, Stoliarov Stanislav I, Pingbo Tang

“…Second, it employs an aspect ratio-based random forest model to classify fire pattern shapes. Third, fire scene point cloud segmentation enables identification of fire-affected areas and mapping 2D fire patterns to 3D scenes for spatial relationships analysis. …”
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ExAIRFC-GSDC: An Advanced Machine Learning-Based Interpretable Framework for Accurate Gas Leakage Detection and Classification by B. Lalithadevi, S. Krishnaveni

“…The proposed ExAIRFC-GSDC model integrates machine learning algorithms, particularly a Random Forest Classifier, with explainable artificial intelligence (XAI) techniques to enhance interpretability. …”
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Password strength verification based on machine learning algorithms and LSTM recurrent neural networks by V. V. Belikov, I. A. Prokuronov

“…The proposed supervised machine learning algorithms comprise support vector machines, random forest, boosting, and long short-term memory (LSTM) recurrent neural network types. …”
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Geographic Distribution Patterns of Soil Microbial Community Assembly Process in Mangrove Constructed Wetlands, Southeast China by Ping Hu, Qiong Yang

“…The abundance of genera changed significantly between the treatment groups, such as the genus <i>Candidatus_Udaeobacter</i> for bacteria versus <i>Russula</i> for fungi, and the random forest model showed that rare genera (e.g., <i>Acidibacter</i>, <i>Dyella</i>, <i>Sebacina</i>, and <i>Lachnellula</i>) also play an important role in microbial community construction. …”
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Diversity of Rust Fungi with Special Emphasis on <i>Hyalopsora erlangensis</i> Causing Disease in <i>Cystopteris chinensis</i> by An Yu, Xia Zhao, Xiaohong Chen

“…A newly discovered rust fungus poses a significant threat to the survival and reproduction of the endangered plant <i>Cystopteris chinensis</i> in a forest in western Sichuan province, China. This study utilized both morphological analysis and molecular phylogenetic approaches to classify this fungal taxon. …”
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Deep cryptic diversity in the Craugastor podiciferus Species Group (Anura: Craugastoridae) of Isthmian Central America revealed by mitochondrial and nuclear data by Erick Arias, Andrew J. Crawford, Andreas Hertz, Gabriela Parra Olea

“…Ancestral area reconstruction showed that the group originated and diversified in the highlands of the Talamancan montane forest ecoregion of Costa Rica and western Panama.…”
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Effects of Pooling Samples on the Performance of Classification Algorithms: A Comparative Study by Kanthida Kusonmano, Michael Netzer, Christian Baumgartner, Matthias Dehmer, Klaus R. Liedl, Armin Graber

“…In this paper, we perform a comparative study to model and quantify the effects of virtual pooling on the performance of the widely applied classifiers, support vector machines (SVMs), random forest (RF), k-nearest neighbors (k-NN), penalized logistic regression (PLR), and prediction analysis for microarrays (PAMs). …”
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Effects of Multiple Treatments of Formic Acid on the Chemical Properties and Structural Features of Bamboo Powder by Hui Qiao, Yue Liu, Yongshun Feng, Xin Pan, Xiaowei Zhuang, Jia Ouyang

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Prediction of Drought Risk Based on the WRF Model in Yunnan Province of China by Chunhong Zhao, Xiangzheng Deng, Yongwei Yuan, Haiming Yan, Hong Liang

“…The results indicate that the large-area forest plays a more important role in alleviating the risk of drought than other vegetation types do. …”
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The Influence of Pain Severity and Interference on Satisfaction with Pain Management among Middle-Aged and Older Adults by Tamara A. Baker, Jessica L. Krok-Schoen, Melissa L. O’Connor, Amber K. Brooks

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Short-Term Origin-Destination Based Metro Flow Prediction with Probabilistic Model Selection Approach by Xiaoqing Dai, Lijun Sun, Yanyan Xu

“…The approach adopts two forecasts as basic models and then uses a probabilistic model selection method, random forest classification, to combine the two outputs to achieve a better forecast. …”
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Enhanced SOC estimation method for lithium-ion batteries using Bayesian-optimized TCN–LSTM neural networks by Taotao Hu, Xiting Zhu, Maokai Tian

“…This study leverages the CALCE dataset and employs the random forest algorithm for dimensionality reduction, selecting voltage, discharge capacity, and discharge energy as key input features. …”
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Data-Driven versus Köppen–Geiger Systems of Climate Classification by Vajira Lasantha, Taikan Oki, Daisuke Tokuda

“…We applied three clustering algorithms—k-means, ISODATA, and unsupervised random forest classification—to a dataset comprising 10 climatic variables and elevation; we then compared the obtained results with those from the Köppen–Geiger classification system. …”
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Temporal Variation of N Isotopic Composition of Decomposing Legume Roots and Its Implications to N Cycling Estimates in N15 Tracer Studies in Agroforestry Systems by Riina Jalonen, Jorge Sierra

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The Influence of mangrove arrangement on wave transmission using smoothed particle hydrodynamics by Trimulyono Andi, Ardi Setiawan Dikky, Samuel, Arswendo Adietya Berlian, Budi Santosa Ari Wibawa, Tuswan

“…The wave transmission value produced by the mangrove forest is relatively small. Additionally, the wave energy result decreased significantly after passing through the mangroves.…”
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Leveraging Large Language Models for Enhanced Classification and Analysis: Fire Incidents Case Study by Eman H. Alkhammash

“…We evaluate this approach using two benchmark datasets: the Forest Fire dataset and the DFAN dataset. The results indicate that ChatGPT has significant potential for timely fire classification, making it a promising tool to complement existing fire detection technologies. …”
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Dickens and the American Millennium: The Uniformitarian Argument of Martin Chuzzlewit by Nancy Aycock Metz

“…He depicts human beings as small and vulnerable against ancient earthscapes of ocean, plain, forest, and wilderness, and exposes as myopic the narcissism of the vaunting, needy ego, with its self-centered construction of the world. …”
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