Hybrid ML Algorithm for Fault Classification in Transmission Lines Using Multi-Target Ensemble Classifier with Limited Data by Abdallah El Ghaly

“…The proposed algorithm achieved an impressive overall accuracy of 0.829165, outperforming traditional methods, including the K-Nearest Neighbors Classifier, support vector classification, random forest classifier, decision tree classifier, AdaBoost classifier, gradient boosting classifier, and Gaussian NB. …”
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Socio-Economic Importance of Adansonia digitata (Baobab) in New-Bussa and its Environs, Niger State, Nigeria by S. M. Ayeni, O. A. Akande, P. N. Meduna, A. A. Babatunde

“…The study concludes that Adansonia digitata tree contributed immensely to the economic development of study area through the provision of wild food, medicine and fuelwood. …”
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Litter Decomposition and Diversity of Soil Macrofauna on Industrial Plantation Forest of Nyawai by Pranatasari Dyah Susanti, Wawan Halwany

“…The use of fast-growing tree species is necessary to meet the demand of timber. …”
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Diálogo del saber campesino y la investigación científica: árboles nativos dendroenergéticos en la Reserva de la biosfera Sierra de Huautla, Morelos, México by Artemio Cruz León, Miguel Uribe Gómez, Alejandro Lara Bueno, César Augusto Yescas Albarrán, Ranferi Maldonado Torres

“…The farming communities of the Sierra de Huautla, keep tradition in using firewood, which is strong pressure on the native deciduous trees. Through participatory dialogue with housewives and loggers and their local knowledge, 6 tree species were selected with value fuelwood in order to design agroforestry technologies that promote the use and the preservation. …”
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Harnessing Machine Learning for Diabetes Prediction: Optimizing Classifiers to Tackle Canada's Growing Health Challenge by Mark Gerald Anastacio, Alam Md Twariqul

“…To overcome this gap, the proposal incorporates machine learning (ML) that involves analyzing a given diabetes dataset and then applying different ML models for Diabetes prediction. Therefore, based on tree-based, function-based techniques, and rule-based models, the study seeks to establish the best and most understandable model for early diabetes prediction. …”
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Nonlinearity and Fractal Properties of Climate Change during the Past 500 Years in Northwestern China by Shiquan Wan, Qunqun Liu, Jianxin Zou, Wenping He

“…By using detrended fluctuation analysis (DFA), the present paper analyzed the nonlinearity and fractal properties of tree-ring records from two types of trees in northwestern China, and then we disclosed climate change characteristics during the past 500 years in this area. …”
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Machine Learning Based Engagement Prediction for Online Courses by Wang Wanning

“…This study investigates the performance of three machine learning models (decision trees. SVMs, and random forests) in predicting online course participation. …”
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L’huile de carapa chez les Wayãpi de Trois Sauts by Adèle Thomas, Barthelemy Miso, Pierre-Michel Forget, Marie Fleury

“…Carapa is a tree from the Meliaceae family found in Central Africa, and Central and South America. …”
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The Influence Of Seed Quantity Per Planting Hole On The Agronomics Of Soybean Variety Dena 1 Under Different Lighting Conditions by Nugraha Ramadhan

“… Expansion of soybean cultivation by utilizing land beneath tree canopies and adjusting plant populations can be considered as an alternative to increase national soybean production. …”
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Advancements in Image Classification: From Machine Learning to Deep Learning by Cheng Haoran

“…Subsequently, the paper provides an in-depth analysis of image classification methods based on machine learning, including traditional algorithms such as Support Vector Machine (SVM), Random Forest, and Decision Tree. These methods achieve image classification through two stages: feature extraction and classification, but they encounter limitations when confronted with large-scale datasets and complicated tasks. …”
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HIGHLY SYMMETRICAL CRYSTALLIZATION IN SIX RECTILINEAR AND WELL-DEFINED AXES FOUND IN BOVINE CERVICAL MUCUS OBTAINED AT OESTRUS: A FINDING by M. E. Cortés, F. González, R. Hauyón, P. Vigil

“…The majority of the crystallizations obtained showed the typical tree-like patterns reported for BCM. However, a highly symmetrical arrangement was found, characteri - zed by a star-like morphology with six straight, highly defined axes that protrude from the same central point, forming 60º angles. …”
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Sister Mary Joseph's Nodule as a First Manifestation of Primary Peritoneal Cancer by C. Iavazzo, K. Madhuri, S. Essapen, N. Akrivos, A. Tailor, S. Butler-Manuel

“…The primary malignancy in women is usually ovarian, endometrial, gastric, or pancreatobiliary tree cancer. We present a case of an 87-year-old patient with Sister Mary Joseph's nodule metastasis caused by a primary peritoneal malignancy. …”
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A Graph Convolutional Network-Based Sensitive Information Detection Algorithm by Ying Liu, Chao-Yu Yang, Jie Yang

“…The majority of existing detection methods are based on the sensitive-word tree, which is usually constructed via the common prefixes of different sensitive words from the given corpus. …”
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On Mostar and Edge Mostar Indices of Graphs by Ali Ghalavand, Ali Reza Ashrafi, Mardjan Hakimi-Nezhaad

“…In this paper, an upper bound for the Mostar and edge Mostar indices of a tree in terms of its diameter is given. Next, the trees with the smallest and the largest Mostar and edge Mostar indices are also given. …”
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Domestication and varietal diversification of Old World cultivated cottons (Gossypium sp.) in the Antiquity by Christopher Viot

“…Textile use of the cotton fibres from the Old World species Gossypium arboreum (Tree Cotton) and G. herbaceum (Levant Cotton) started around eight thousand years ago and possibly earlier. …”
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Evaluation Algorithm of Labor Legal Effectiveness for Affirmative Action against Gender Discrimination by Liao Juan

“…After normalization, the weight of the evaluation index is calculated by entropy method, which lays a foundation for subsequent research. Finally, the tree enhanced Bayesian network is used to classify the labor legal effectiveness evaluation indicators, and the correlation between the indicators is determined through the Spearman rank correlation coefficient. …”
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A Topology Control Algorithm for Sensor Networks Based on Robust Optimization by Junfeng Qiao, Sanyang Liu, Wei Duan

“…Considering the uncertainty of distance between nodes, a distributed topology control algorithm named as LRMST, which is based on the local minimum spanning tree (LMST) algorithm, is proposed by applying the 0-1 robust discrete optimization theory. …”
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Oral Mucosal Ulceration Caused by the Topical Application of a Concentrated Propolis Extract by Yuniardini Septorini Wimardhani, Anandina Irmagita Soegyanto

“…Propolis is a resinous mixture that is collected by honey bees from tree buds, sap flow, and other botanical sources. …”
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Optimization of a Conical Corrugated Antenna Using Multiobjective Heuristics for Radio-Astronomy Applications by S. López-Ruiz, R. Sánchez Montero, F. Tercero-Martínez, P. L. López-Espí, J. A. López-Fernandez

“…This paper presents the design of a tree sections corrugated horn antenna with a modified linear profile, using NURBS, suitable for radio-astronomy applications. …”
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Dynamics between the obstacles of business environment and firm performance in Bangladesh: Survey-based empirical insights using ML algorithms by Chandan Kumar Roy

“…Additionally, the predictive accuracy of the OLS model was compared with several machine learning algorithms, including decision tree, random forest, support vector, and gradient boosting, using a 75-25 training-testing split and k-fold cross-validation. …”
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