Fault Analysis System for High Speed EMU Control Network Based on Fault Tree by XU Qing, LI Chuanyu

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System Optimization of Talent Life Cycle Management Platform Based on Decision Tree Model by Jiaonan Han

“…The judgment process is from the root node to the leaf node. Each branch of the tree takes the form of selecting the best split attribute. …”
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Generic Models of Willow (genus Salix L.) Tree Phytomass: a Meta-Analysis by Andrey А. Paramonov, Vladimir A. Usoltsev, Sergey V. Tretyakov, Ilya V. Tsvetkov, Ivan S. Tsepordey

“…The aim of this study has been to construct generic models of both aboveground phytomass and phytomass fractions (foliage, branches, stem, roots) of willow trees based on meta-analysis of data. In the course of the work, the models have been constructed for assessing the aboveground phytomass of trees both in diameter at the stem base and in diameter at breast height, the information content of which is close to functional, and the biases are only about 2 %. …”
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Exploring graph representation strategies for text classification by Henrique Varella Ehrenfried, Vinicius Tikara Venturi Date, Eduardo Todt

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3D Solar Analysis of the Street Network and Impact Estimation of the Shade of Trees at the District Scale by E. Shirinyan, K. Stefanov, D. Petrova-Antonova

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Common Tactics of Customer Deception in Chain Stores: A Model of Customer Deception Tree by Ali Akbar Bromideh, Maryam Alefpour Tarakameh, Sima Nazari, Mohammad Aghaei

“…To validate the initial model, a quantitative field survey was conducted using structural equation modeling. This process led to the development of the final model, termed the "Customer Deception Tree".   …”
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Urban tree species classification using multisource satellite remote sensing data and street view imagery by Shufan Wang, Chun Liu, Shanshan Wei, Hao Tang

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pyAutonomousAgent: An Academic Tool for Modeling Autonomous Agent Behaviors Using Behavior Trees by Felipe Leonardo Lôbo Medeiros

“…The decision-making process of an autonomous agent can be efficiently modeled through behavior trees. …”
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Protein-Protein Interaction Extraction using Attention-based Tree-Structured Neural Network Models by Sudipta Singha Roy, Robert E. Mercer

“…Unlike sequential models, tree-structured neural network models have the ability to consider syntactic and semantic dependencies between different portions of the text and can provide structural information at the phrase level. …”
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R-MLGTI: A Grid- and R-Tree-Based Hybrid Index for Unevenly Distributed Spatial Data by Yuqin Li, Jining Yan, Xiaohui Huang, Xiangyou He, Ze Deng, Yunliang Chen

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An Effective Tree-Structured AI Model for Reducing Overhead of Life Cycle Management in Wireless Communication by Yingshuang Bai, Zhaohui Huang, Chen Sun, Yujie Zhang, Tao Cui, Samuel Atungsiri

“…In this paper, we present the progress of model LCM in 3GPP, and also propose a tree-structured model to reduce the overhead associated with LCM operations. …”
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Multiscale feature fusion and enhancement in a transformer for the fine-grained visual classification of tree species by Yanqi Dong, Zhibin Ma, Jiali Zi, Fu Xu, Feixiang Chen

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Fault diagnosis method for substations based on fault enumeration tree to generate fuzzy Petri net by WU Yulun, XIAO Tannan, CHEN Ying

“…To address the issues of complexity and difficulty of automatic modeling in Petri net fault diagnosis models that incorporate temporal information, a fault diagnosis method for substations based on generating fuzzy Petri nets from fault enumeration trees is proposed. …”
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LiDAR point cloud denoising for individual tree extraction based on the Noise4Denoise by Xiangfei Lu, Zongyu Ye, Liyong Fu, Huaiyi Wang, Kaiyu Wang, Yaquan Dou, Dongbo Xie, Xiaodi Zhao

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A tree crown edge-aware clipping algorithm for airborne LiDAR point clouds by Shangshu Cai, Yong Pang

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Efficient Urban Tree Species Classification via Multirepresentation Fusion of Mobile Laser Scanning Data by Yinchi Ma, Peng Luan, Yujie Zhang, Bo Liu, Lijie Zhang

“…The proposed workflow achieves a balance between classification accuracy and processing efficiency, making it suitable for large-scale urban tree inventory applications.…”
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Multi-layer obstacle-avoiding rectilinear steiner minimal tree algorithm based on deep reinforcement learning by Xing Huang, Yuhan Zhu, Yanbo Xu, Yajun Xie, Genggeng Liu

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Compressed Sensing-Based MRI Reconstruction Using Complex Double-Density Dual-Tree DWT by Zangen Zhu, Khan Wahid, Paul Babyn, Ran Yang

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Efficient Argan Tree Deforestation Detection Using Sentinel-2 Time Series and Machine Learning by Younes Karmoude, Soufiane Idbraim, Souad Saidi, Antoine Masse, Manuel Arbelo

“…This study monitors changes in an argan forest near Agadir, Morocco, from 2017 to 2023 using Sentinel-2 satellite imagery and advanced image processing algorithms. Various machine learning models were evaluated for argan tree detection, with LightGBM achieving the highest accuracy when trained on a dataset integrating spectral bands, temporal features, and vegetation indices information. …”
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Linear and Tree‐Based Intelligent Investigation of Cross‐Domain Housing Features to Enhance Energy Efficiency by Hafiz Muhammad Shakeel, Shamaila Iram, Hafiz Muhammad Athar Farid, Richard Hill

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