Classification and identification of pest, diseases and nutrient deficiency in paddy using layer based EMD phase features with decision tree by A. Pushpa Athisaya Sakila Rani, N. Suresh Singh

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Partitioning risks of tree mortality by modes of death in managed and unmanaged northern hardwoods and mixedwoods by François Guillemette, Martin-Michel Gauthier, Rock Ouimet

“…Additionally, we found strong evidence to support the effect of the potassium/magnesium ratio of the humus layer on the risk of being uprooted. This information is critical to better understand tree mortality processes.…”
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Optimizing UAV Hyperspectral Imaging for Urban Tree Chlorophyll and Leaf Area Index Retrieval by Shanshan Wei, Tiangang Yin, Bo Yuan, Kim Hwa Lim, Soo Chin Liew, Andrew J. Whittle

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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