A novel and highly efficient botnet detection algorithm based on network traffic analysis of smart systems by Li Duan, Jingxian Zhou, You Wu, Wenyao Xu

“…Finally, Tomek-Recursion Borderline Synthetic Minority Oversampling Technique generates additional minority samples to achieve class balance, and an improved gradient boosting decision tree algorithm is used to train and establish an abnormal traffic detection model to improve the detection of unbalanced botnet data. …”
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MORF: Multi-view oblique random forest for hepatotoxicity prediction by Binsheng Sui, Qingzhuo He, Bowei Yan, Kunhong Liu, Yong Xu, Song He, Xiaochen Bo

“…Two versions of the multi-view oblique decision tree (ODT) algorithms were designed by generating optimal nodes based on selecting proper hyperplanes from different views, named ODT-N and ODT-R. …”
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Basic Properties of Ganitri Wood (Elaeocarpus sphaericus (Gaertn.) K. Schum.) from Sukabumi and Its Potential Uses by Esti Prihatini, Akhrudin Maddu, Istie Sekartinging Rahayu, Mersi Kurniati

“…Schum.) is a fastgrowing tree that is widely found in Sukabumi, West Java. …”
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Anti-Inflammatory Properties of Dendrimers per se by Myriam Hayder, Séverine Fruchon, Jean-Jacques Fournié, Mary Poupot, Rémy Poupot

“…Dendrimers are polybranched and polyfunctionalized tree-like polymers. Unlike linear polymers, they have perfectly defined structure and molecular weight, due to their iterative step-by-step synthesis. …”
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Forest Plantations and Water Consumption: A Strategy for Hydrosolidarity by W. P. Lima, R. Laprovitera, S. F. B. Ferraz, C. B. Rodrigues, M. M. Silva

“…The design involved the allocation of part of the identified saturated areas as water conservation areas, as well as a change in the spacing of the planting. Measurements of tree growth at the age of two years of the new plantation reveal that the forest productivity of the new plantation design, in terms of projected annual wood increment at the end of the rotation, will be similar to the old plantation scheme, despite the loss of planted area. …”
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Physical and mechanical properties of wood of plantation grown Albizia lebbeck in the savannah ecological zone, Ghana by Enoch Gbapenuo Tampori, Francis Kofi Bih, Kwaku Antwi, Issah Chakurah

“…Three mature plantation grown Albizia lebbeck trees with diameters 45-50 cm at breast height were purposively selected and sampled at four stem height levels of tree height. …”
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Credit risk prediction with corruption perception index: machine learning approaches by Cuong Nguyen Thanh, Tam Phan Huy, Tuyet Pham Hong, An Bui Nguyen Quoc

“…Analyzing data from 70 banks over a decade, it employs Decision Tree, Random Forest, Gradient Boosted Trees, and XGBoost models, evaluated using R², RMSE, and MAE. …”
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Bioacaricides in Crop Protection—What Is the State of Play? by Dejan Marčić, Ismail Döker, Haralabos Tsolakis

“…Among the biochemicals of plant origin, the most widely used to date have been the products based on pyrethrum—obtained from the Dalmatian daisy, <i>Tanacetum cinerariifolium</i> (Asteraceae)—and azadirachtin, obtained from the Indian neem tree, <i>Azadirachta indica</i> (Meliaceae). In recent years, products based on essential oils from aromatic plants belonging to the families Lamiaceae, Myrtaceae, Rutaceae and others have also gained increasing importance in the market. …”
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Machines’ Intelligent Fault Diagnosis Based on Hierarchical Refined Composite Generalized Multiscale Fluctuation Dispersion Entropy by Biwen Chen, Changsheng Chen, Zhenlai Ma, Guoping Li, Yi Zhang, Baoyue Li

“…Furthermore, low-frequency and high-frequency components of the data are comprehensively extracted using dual-tree complex wavelet packet transform (DTCWPT), and high-dimensional features are downscaled using t-distributed stochastic neighbor embedding (t-SNE) to obtain low-dimensional sensitive fault features. …”
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Analyzing Vibration Mechanism of Angular Contact Ball Bearing with Compound Faults on Inner and Outer Rings by Lihai Chen, Ma Fang, Ming Qiu, Yanfang Dong, Xiaoxu Pang, Junxing Li, Chuanmeng Yang

“…The signals of compound faults were decomposed by the dual-tree complex wavelet transform to identify their characteristic frequency. …”
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Operational Risk Assessment for the Pollination Service with Apis mellifera Bees in Cashew Crops in Vichada, Colombia by Lizeth Castro Mercado, Juan José Bravo Bastidas, Juan Carlos Osorio Gómez

“…The cashew tree relies heavily on the presence of pollinators during the peak receptivity of its flower to facilitate the transfer of pollen from the stamen to the stigma and ensure successful fruit production. …”
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Spatial Distribution of Tropospheric Ozone in National Parks of California: Interpretation of Passive-Sampler Data by John D. Ray

“…This was done in varying degrees at Mount Rainier, Olympic, Sequoia–Kings Canyon, Yosemite, Joshua Tree, Rocky Mountain, and Great Smoky Mountains national parks. …”
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Measuring Accessibility of Green Spaces for the Health and Wellbeing of Inhabitants of the Milan Metropolitan Area by Maria Chiara Pastore, Claudia Ida Maria Parenti, Corinna Patetta

“…This research aims to identify the most fragile segment of the MMA, which is pivotal for the tree-planting activities sponsored by the Forestami project.…”
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Similarity Index among Acacia mangium, Acacia auriculiformis, and its Hybrid Based on the Anatomical Properties of Root, Stem, and Leaf by Sri Sunarti, Visda Fitriana, Suharyanto Suharyanto

“…It is a great probability to obtain hybrid vigour by selecting good mother-trees due to the similarity index between hybrid and its mother tree.…”
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Large-Scale Forest Modeling: Deducing Stand Density from Inventory Data by Oskar Franklin, Elena Moltchanova, Florian Kraxner, Rupert Seidl, Hannes Böttcher, Dimitry Rokityiansky, Michael Obersteiner

“…Here a forest growth model was combined with a newly developed generic thinning model to estimate stand density and site productivity based on widely available inventory data (tree species, age class, volume, and increment). …”
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Improved ML-Based Technique for Credit Card Scoring in Internet Financial Risk Control by Shuangshuang Fan, Yanbo Shen, Shengnan Peng

“…In order to overcome the limitations of the credit card scoring model and evaluate credit risk better, this paper proposes a credit evaluation model based on extreme gradient boosting tree (XGBoost) machine learning (ML) algorithm to construct a credit risk assessment model for Internet financial institutions. …”
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Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser

“…In addition to the baseline model, a gradient-boosted classification tree, naïve Bayes, and random forest model were created and compared using receiver operator characteristics, area under the curve, and accuracy. …”
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Identification of Working Trucks and Critical Path Nodes for Construction Waste Transportation Based on Electric Waybills: A Case Study of Shenzhen, China by Jun Bi, Qiuyue Sai, Fujun Wang, Yakun Chen

“…The results show that the XGBoost model can improve the accuracy of the generation of waybill to 90.5% compared with the decision tree model, random forest, and GBDT. Moreover, the density clustering model can discover the hot nodes of construction waste transportation. …”
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Multiple-Camera Patient Tracking Method Based on Motion-Group Parameter Reconstruction by Simeon Karpuzov, George Petkov, Stiliyan Kalitzin

“…In addition, outside the overlapping areas, the algorithm can transfer tracking from one camera to another, provided a tree-type topology between the areas is present. …”
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Shear Strength of Internal Reinforced Concrete Beam-Column Joints: Intelligent Modeling Approach and Sensitivity Analysis by De-Cheng Feng, Bo Fu

“…., gradient boosting regression tree (GBRT), which generates a strong predictive model by integrating several weak predictors, which are obtained by the well-known individual ML algorithms, e.g., DT, ANN, and SVM. …”
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