A Fourfold Bi-Filter and Permuted Bi-Quad-Wrapper Feature Selection Method for Finding Optimal Moments of Multi-Trajectory Transient Records in Transient Analysis by Seyed Alireza Bashiri Mosavi, Omid Khalaf Beigi

“…In the case of wrapper methods, hyperplane-based classifiers (HCs), namely support vector machine (SVM) and twin SVM (TWSVM), play the main role in IWSS and IWSSr tree formation. Due to kernel-based learning necessity in NTES, embedding the radial basis function (RBF), dynamic time warping (DTW), and polynomial (POL) kernels into dual HCs is on the agenda. …”
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Complex multivariate model predictions for coral diversity with climatic change by Tim R. McClanahan, Maxwell K. Azali, Nyawira A. Muthiga, Sean N. Porter, Michael H. Schleyer, Mireille M. M. Guillaume

“…A number of these aspects were evaluated using boosted regression tree models of numbers of coral taxa trained on ~1000 field surveys and 35 spatially complete influential environmental proxies at moderate scales (~6.25 km2). …”
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Biogeographic Insights Into the Late Miocene Diversification of the Giant Deep‐Ocean Amphipod Eurythenes by Carolina E. González, Johanna N. J. Weston, Reinaldo Rivera, Marcelo Oliva, Rubén Escribano, Osvaldo Ulloa

“…The resulting phylogenetic tree reveals a diverse clade, with a common ancestor originating around 11.81 Ma. …”
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Prepartum Vaccination Against Neonatal Calf Diarrhea and Its Effect on Mammary Health and Milk Yield of Dairy Cows: A Retrospective Study Addressing Non-Specific Effects of Vaccina... by Caroline Kuhn, Holm Zerbe, Hans-Joachim Schuberth, Anke Römer, Debby Kraatz-van Egmond, Claudia Wesenauer, Martina Resch, Alexander Stoll, Yury Zablotski

“…In this retrospective study, data from 73,378 dairy cows on 20 farms in Germany were analyzed, using linear mixed-effects regression, quantile regression, and decision-tree-algorithms, to investigate the effects of prepartum vaccination on mammary health and milk yield by comparing non-vaccinated and vaccinated transition periods. …”
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Endobronchial Lipoma: A Rare Cause of Bronchial Stenosis or Obstruction by Jian Chen, Tao Xin, Lei Pan, Yan Li, Weisheng Qian, Jin Wei, Yan Yan, Yan Wang, Faguang Jin, Hua Jiang

“…The EL lesions were distributed with six in the right lung and three in the left lung, all located within the first three subdivisions of the tracheobronchial tree. Treatment approaches varied, with one patient undergoing combined bronchoscopic resection and surgery. …”
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A long‐term study on food choices and nutritional goals of a leaf‐eating primate by Patrick Lauer, Colin A. Chapman, Patrick Omeja, Jessica M. Rothman, Urs Kalbitzer

“…Based on these results and nutritional concentrations of young leaves of frequently consumed tree species, we investigated the importance of the protein‐to‐fiber ratio in their diet. …”
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A strategy to increase identification of patients with Familial Hypercholesterolemia: Application of the Simon Broome lipid criteria in a large-scale retrospective analysis by James K. Fleming, Renee M. Sullivan, David Alfego, Natalia T. Leach, Tamara J. Richman, Jill Rafalko

“…Methods: All lipid tests for total cholesterol (TC) and LDL-c ordered through a large nation-wide network of medical laboratories in the United States (US) from 2018 - 2022 were retrospectively evaluated using a decision tree algorithm based on Simon Broome lipid criteria. …”
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Estimation of Anthocyanins in Apple Leaves Based on Ground Hyperspectral Imaging and Machine Learning Models by Yu Zhang, Mi Zou, Yanjun Li, Qingrui Chang, Xing Chen, Zhiyong Dai, Weihao Yuan

“…The anthocyanins in apple leaves can indicate their growth status, and the health of apple leaves not only reveals the nutritional supply of the apple tree but also reflects the quality of the fruit. …”
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Predicting pregnancy loss and its determinants among reproductive-aged women using supervised machine learning algorithms in Sub-Saharan Africa by Tirualem Zeleke Yehuala, Sara Beyene Mengesha, Nebebe Demis Baykemagn

“…Python software was used to process the data, and machine learning techniques such as Random Forest, Decision Tree, Logistic Regression, Extreme Gradient Boosting, and Gaussian were applied. …”
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INTEGRATION OF INTRADISCIPLINARY TOPICS AND GEOGRAPHY IN THE TEACHING PROCESS OF TECHNOLOGY by M. S Kazimov

“…Within the section «Technology of woodworking», which is part of subject of Technology, it is important to teach students the form of coherent information on the processing of wood, properties of selected tree breeds, features of the installation details, types of trees used for timber production, the origin of trees, and expansion of trees over areas. …”
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A novel hybrid inception-xception convolutional neural network for efficient plant disease classification and detection by Wasswa Shafik, Ali Tufail, Chandratilak Liyanage De Silva, Rosyzie Anna Awg Haji Mohd Apong

“…To assess the presented IX-CNN model performance, different classifiers, namely, support vector machine (SVM), decision tree (DT) and random forest (RF), were used. The experiments used six datasets, including PlantVillage, Turkey Disease, Plant Doc, Rice Disease, RoCole, and NLB datasets. …”
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Integrating Information Gain and Chi-Square for Enhanced Malware Detection Performance by Fauzi Adi Rafrastara, Wildanil Ghozi, Ramadhan Rakhmat Sani, Lekso Budi Handoko, Abdussalam Abdussalam, Elkaf Rahmawan Pramudya, Faizal M. Abdollah

“…Using IGCS, six classifiers—Random Forest, XGBoost, kNN, Decision Tree, Logistic Regression, and Naïve Bayes—achieved higher performance scores compared to other scenarios, such as when classifiers were combined with Information Gain, Chi-Square, PCA, or even without any feature selection. …”
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Machine learning for predicting strength properties of waste iron slag concrete by Matiur Rahman Raju, Syed Ishtiaq Ahmad, Md Mehedi Hasan, Noor Md. Sadiqul Hasan, Md Monirul Islam, Md. Abdul Basit, Ishraq Tasnim Hossain, Saif Ahmed Santo, Md Shahrior Alam, Mahfuzur Rahman

“…Among the tested ML algorithms, Decision Tree (DT) and XGBoost showed the highest accuracy (R2 = 0.95135) in predicting concrete strength properties, while models like SVM and Symbolic Regression underperformed. …”
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Давньоіранське зображення хронотопу в передачі вторинного джерела by Юрій Писаренко

“…The central image of the gyol is decorated with a composition interpreted as a world (paradise) tree flower, which, at the same time, can represent the so-called «navel of the earth». …”
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Etiologies of Long-Term Postcholecystectomy Symptoms: A Systematic Review by Carmen S. S. Latenstein, Sarah Z. Wennmacker, Judith J. de Jong, Cornelis J. H. M. van Laarhoven, Joost P. H. Drenth, Philip R. de Reuver

“…The outcome of this research is summarized in a decision tree to give clinical guidance on the treatment of patients with symptoms after cholecystectomy.…”
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Will Olive Groves have a Future Under Climate Change Conditions in The North Aegean Sub-Region, a Mediterranean Agricultural Ecosystem of Türkiye? by Murat Türkeş, Sinan Şahin

“…This increase in extreme maximum temperatures may cause olive trees to bloom earlier and prolong the growth period. …”
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DATA MINING ALGORITHMS FOR PREDICTION OF STUDENT TEACHERS’ PERFORMANCE IN ICT: A SYSTEMATIC LITERATURE REVIEW by Juma Habibu Shindo, Mohamedi Mohamedi Mjahidi, Mohamed Dewa Waziri

“…Considering the specific study findings represented quantitatively, Decision Trees and Naive Bayes were found to be the most commonly used Data Mining algorithms, with a count of 20.6% each. …”
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Spatial distribution patterns and driving factors of understory vegetation species diversity on northeastern Tibetan Plateau by Yanwen Hu, Jingyuan He, Beibei Chen, Senxuan Lin, Wennong Kuang, Xiuhai Zhao, Chunyu Zhang

“…Topographical factor, particularly elevation, along with dissolved organic nitrogen (DON), significantly reduced shrub species richness (SD0) and Shannon entropy (SD1), while coefficient of variation of tree height (CVH) had a significantly positive impact. …”
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Characterization of adrenal glands on computed tomography with a 3D V-Net-based model by Yuanchong Chen, Yaofeng Zhang, Xiaodong Zhang, Xiaoying Wang

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Uncovering the molecular mechanisms of Acer fabri in adjusting to low-temperature stress through integrated physiological and transcriptomic analysis by Gongwei Chen, Dandan Zhang, Fengyuan Chen, Yixiao Zhou, Hongyu Cai, Heng Gu, Yuanzheng Yue, Lianggui Wang, Guohua Liu

“…Abstract Acer fabri is an excellent color-leaf tree species, with high ornamental value. Low temperatures are known to limit the growth and geographical distribution of A. fabri. …”
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