Action Recognition in Basketball with Inertial Measurement Unit-Supported Vest by Hamza Sonalcan, Enes Bilen, Bahar Ateş, Ahmet Çağdaş Seçkin

“…The collected IMU data underwent preprocessing and feature extraction, followed by the application of machine learning algorithms including KNN, decision tree, Random Forest, AdaBoost, and XGBoost. Among these, the XGBoost algorithm with a window size of 250 and a 75% overlap yielded the highest accuracy of 96.6%. …”
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Design of Metamaterial Antenna Based on the Mathematical Formulation of Patch Antenna for Wireless Application by S. Prasad Jones Christydass, S. Suresh Kumar, V. S. Nishok, R. Saravanakumar, S. Devakirubakaran, J. Deepa, K. Sangeetha

“…For WLAN/WIMAX applications, a brand-new tree-shaped metamaterial-loaded microstrip antenna is suggested. …”
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First Record of Pyramica epinotalis (Hymenoptera: Formicidae) for the United States by Xuan Chen, Joe A. MacGown, Benjamin J. Adams, Katherine A. Parys, Rachel M. Strecker, Linda Hooper-Bui

“…Collections were made in three parishes across southern Louisiana in cypress-tupelo swamps using floating pitfall traps placed in floating vegetation and arboreal pitfall traps placed on trunks and limbs of three wetland tree species. One additional specimen of this species was collected in Highlands County, Florida. …”
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Would you rather treat? A rare case of Mycobacterium scrofulaceum by Junaid Zafar Sheikh, Nonhlanhla Lunjani, Hira Gul, Louay Kila, Brian Casserly

“…Thoracic CT exhibited calcified tree-in-bud nodules and a trivial left pleural effusion. …”
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Cost-Effectiveness of Improving Health Care to People with HIV in Nicaragua by Edward Broughton, Danilo Nunez, Indira Moreno

“…Hospital expenditure data were collected by auditors and hospital teams tracked intervention expenses. Decision tree analysis determined incremental cost-effectiveness from the implementers’ perspective. …”
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Postprocessing of Accidental Scenarios by Semi-Supervised Self-Organizing Maps by Francesco Di Maio, Roberta Rossetti, Enrico Zio

“…To address this issue, in this paper we propose the use of an ensemble of Semi-Supervised Self-Organizing Maps (SSSOMs) whose outcomes are combined by a locally weighted aggregation according to two strategies: a locally weighted aggregation and a decision tree based aggregation. In the former, we resort to the Local Fusion (LF) principle for accounting the classification reliability of the different SSSOM classifiers, whereas in the latter we build a classification scheme to select the appropriate classifier (or ensemble of classifiers), for the type of scenario to be classified. …”
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A Case of the TOF with APV Complicated with Polyhydramnios and Severe Bronchomalacia by Ali Seven, Emine Esin Yalinbas, Rahmi Ozdemir

“…Compression against bronchial tree and esophagus due to dilated pulmonary artery and its branches may inevitably lead to bronchomalacia and polyhydramnios. …”
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Florida Peaches: A Perfect Snack by Joy N. Rumble, Kara Harders, Kathryn Stofer

“…In 1952, a stone fruit breeding program started at the University of Florida with a goal of breeding trees which would produce peaches and nectarines to grow in Florida (Olmstead, Chaparro, Anderson, Williamson, & Ferguson, 2016). …”
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Flight Delay Classification Prediction Based on Stacking Algorithm by Jia Yi, Honghai Zhang, Hao Liu, Gang Zhong, Guiyi Li

“…There are five supervised machine learning algorithms in the first-level learner of Stacking including KNN, Random Forest, Logistic Regression, Decision Tree, and Gaussian Naive Bayes. The second-level learner is Logistic Regression. …”
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Unbiased picture of the ligand docking process for the hevein protein–oligosaccharide complex by Toshifumi Yui, Takuya Uto

“…Abstract The ligand-docking behavior of hevein, the major latex protein from the rubber tree Hevea brasiliensis (Euphorbiaceae), has been investigated by the unguided molecular dynamics (MD) simulation method. …”
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Software Defect Prediction For Quality Evaluation Using Learning Techniques Ensemble Stacking by Muhammad Romadhona Kusuma, Windu Gata, Sigit Kurniawan, Dedi Dwi Saputra, Supriadi Panggabean

“…The results showed that the ensemble stacking approach with a combination of Gradient Boosting, Ada Boost, Decision Tree, Bayesian Ridge, and LightGBM meta learner algorithms provided high accuracy with R2 score reaching 0.97, MAE of 0.037, and MSE of 0.006. …”
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Modeling a Born-Digital Factoid Prosopography using the TEI and Linked Data by Daniel L. Schwartz, Nathan P. Gibson, Katayoun Torabi

“…By modeling prosopographical factoids, and not the source texts themselves, SPEAR offers an example of how a born-digital, data-oriented approach to using the TEI can circumvent some of the challenges posed by the tree structure of XML. It also disrupts traditional understandings of data and stand-off markup through combining linked open data approaches with the use of the TEI.…”
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Machine Learning-Based Network Detection Research for SDNs by Lai Jiayue

“…Employing a tactical blend of established and cutting-edge machine learning algorithms, including Random Forest, Logistic Regression, and Decision Tree, alongside the advanced XGBoost and LightGBM models, this study conducted an exhaustive investigation to pinpoint the most efficacious methods for swiftly and precisely identifying DoS threats. …”
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Costa cantábrica (Santillana del Mar, España) (2019) by Alberto Cabrerizo

“…Human activity has resulted in buildings either on the upper clear part for observation and surveillance, or protected by the direction and power of the strata, a space for shelter and religious activity. There is no tree development because of the power of coastal winds, only a vegetation layer. …”
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Factors Affecting Bird Diversity in the Wetlands of Muara Gembong, Indonesia by Muhammad Hamas Fathani, Yeni Aryati Mulyani, Ani Mardiastuti, Wibowo Agung Djatmiko

“…We found out that the total number of plant species, along with the number of tree, understory, and shrub species, were the strongest factors affecting bird diversity in Muara Gembong. …”
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A Novel Approach for Detecting DGA-Based Botnets in DNS Queries Using Machine Learning Techniques by Ali Soleymani, Fatemeh Arabgol

“…The performance of the proposed model has been evaluated using different classifiers of machine learning algorithms such as decision tree, support vector machine, random forest, and logistic regression. …”
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Sideroxylon inerme L. (Sapotaceae): A narrative of its uses as ethnoveterinary medicine and other medicinal applications by Alfred Maroyi

“…Sideroxylon inerme L. is a shrub or small tree used as ethnoveterinary medicine (EVM) in south-central Africa, and therefore, this study was aimed at providing a comprehensive review of the trends and patterns of uses of this species as EVM and also its other medicinal applications, including its phytochemistry and pharmacological properties. …”
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Exploring the Links Between Forest Stewardship Council Certification and Biodiversity Outcomes at a Global Level by Parag Kadam, Puneet Dwivedi

“…Moreover, FSC-FM certifications show a positive relationship with biodiversity in regions with high population densities and significant tree cover loss. Enhanced perception of corruption control and reduced extraction of non-forestry resources further strengthen this association. …”
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Effects of planting densities and regenerations on the growth and yield of Brachiaria humidicola grown in Thua Thien Hue province by Van Loi Bui

“…The results showed that the tree height, grass bed height, and number of branches/tussock varied significantly between planting densities (p < 0.05), with the highest values observed at the planting density of 30 x 30 cm (96.33 cm, 73.38 cm and 40.17 branches/tussock, respectively). …”
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Analysis of Emotional Stress of Teachers in Japanese Teaching Process Based on EEG Signal Analysis by Jie Dong

“…Finally, this paper uses the feature selection algorithm of tree model and the random forest model classifier to establish the recognition model of teachers’ emotional stress discharge in Japanese teaching process based on EEG signals and achieves the effect of more accurate recognition of teachers’ emotional stress discharge in Japanese teaching process. …”
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