Mitigating Skin and Proximity Effect in High-Voltage Underground Segmented Cables Through Individually Insulating Conductor Strings by Soheil Ahmadi, S. H. Khan, K. T. V. Grattan

“…This paper investigates the impact of introducing a thin insulating layer between individual conductor strings in a five-segment high-voltage cable model. …”
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Examining muscle synergy composition and segmental coordination during overground walking in individuals with a rotationplasty about the knee by Kellen T. Krajewski, Nathan Rogers, Mia A. Lundin, Andrea Rogers, Susan Kanai, Lucas Moore, Steven W. Thorpe, James J. Carollo, Patrick M. Carry, David R. Howell, Lauren A. Sepp, Anne K. Silverman, Nathan J. Donaldson

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Crops3D: a diverse 3D crop dataset for realistic perception and segmentation toward agricultural applications by Jianzhong Zhu, Ruifang Zhai, He Ren, Kai Xie, Aobo Du, Xinwei He, Chenxi Cui, Yinghua Wang, Junli Ye, Jiashi Wang, Xue Jiang, Yulong Wang, Chenglong Huang, Wanneng Yang

“…It stands as the pioneering dataset that comprehensively supports the three critical tasks in 3D crop phenotyping: instance segmentation of individual plants in agricultural settings, plant type perception, and plant organ segmentation. …”
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Comparison of anterior chamber depth measured by three different anterior segment analysis systems by Han Song, Wei Yang, Chunliu Yang, Qing Sun

“…Purpose: This study aims to compare and evaluate the correlation and agreement among three distinct anterior segment analysis systems in measuring anterior chamber depth (ACD) in healthy myopic individuals. …”
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YOLO-SegNet: A Method for Individual Street Tree Segmentation Based on the Improved YOLOv8 and the SegFormer Network by Tingting Yang, Suyin Zhou, Aijun Xu, Junhua Ye, Jianxin Yin

“…In urban forest management, individual street tree segmentation is a fundamental method to obtain tree phenotypes, which is especially critical. …”
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Effect of segmental tongue function training on tongue pressure attributes in individuals with dysphagia after receiving radiotherapy for nasopharyngeal carcinoma by Fei Zhao, Chen Yang, Si-Ming Sun, Yao-Wen Zhang, Hong-Mei Wen, Zu-Lin Dou, Xiao-Mei Wei, Chun-Qing Xie

“…Methods A group of eighteen NPCR dysphagia patients underwent a two-week segmental tongue function training. The researchers assessed their tongue motor function by measuring the tongue pressure (P) and endurance time (ET) in three different regions of the tongue-the anterior tongue region (TAR), central tongue region (TCR), and posterior tongue region (TPR). …”
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The 3D tooth model segmentation method based on GAC+PointMLP network by Jianjun Chen, Liyuan Zheng, Huilai Zou, Jiafa Mao, Weiguo Sheng

“…Precise segmentation of individual teeth from digital three-dimensional (3D) tooth models is critical in computer-assisted orthodontic surgery. …”
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Comparison of UAV-Based LiDAR and Photogrammetric Point Cloud for Individual Tree Species Classification of Urban Areas by Qixia Man, Xinming Yang, Haijian Liu, Baolei Zhang, Pinliang Dong, Jingru Wu, Chunhui Liu, Changyin Han, Cong Zhou, Zhuang Tan, Qian Yu

“…UAV LiDAR and digital aerial photogrammetry (DAP) have shown great performance in forest inventory due to their advantage in three-dimensional information extraction. Many studies have compared their performance in individual tree segmentation and structural parameters extraction (e.g. tree height). …”
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Individual tree segmentation of airborne and UAV LiDAR point clouds based on the watershed and optimized connection center evolution clustering by Yi Li, Donghui Xie, Yingjie Wang, Shuangna Jin, Kun Zhou, Zhixiang Zhang, Weihua Li, Wuming Zhang, Xihan Mu, Guangjian Yan

“…Abstract Light detection and ranging (LiDAR) data can provide 3D structural information of objects and are ideal for extracting individual tree parameters, and individual tree segmentation (ITS) is a vital step for this purpose. …”
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SwinCell: a 3D transformer and flow-based framework for improved cell segmentation by Xiao Zhang, Zihan Lin, Liguo Wang, Yong S. Chu, Yang Yang, Xianghui Xiao, Yuewei Lin, Qun Liu

“…Abstract Segmentation of three-dimensional (3D) cellular images is fundamental for studying and understanding cell structure and function. …”
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Predictors of health related quality of life three years after myocardial infarction with ST segment elevation by Lović Milan B.

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Mapping individual tree crowns to extract morphological attributes in urban areas using unmanned aerial vehicle-based LiDAR and RGB data by Geonung Park, Bonggeun Song, Kyunghun Park

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Individual Tree Segmentation From Airborne LiDAR Data Based on Automatic Treetop Detection and Simulated Stem-Branch Points Compensation by Qingjun Zhang, Jiale Chen, Hanwen Qi, Xu Wang, Xinlian Liang

“…Therefore, we propose a novel individual tree segmentation method based on treetop detection and point compensation. …”
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TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds by Jonathan Henrich, Jan van Delden, Dominik Seidel, Thomas Kneib, Alexander S. Ecker

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Additive manufacturing of a 3D-segmented plastic scintillator detector for tracking and calorimetry of elementary particles by Tim Weber, Andrey Boyarintsev, Umut Kose, Botao Li, Davide Sgalaberna, Tetiana Sibilieva, Johannes Wüthrich, Siddartha Berns, Eric Boillat, Albert De Roeck, Till Dieminger, Matthew Franks, Boris Grynyov, Sylvain Hugon, Carsten Jaeschke, André Rubbia

“…Abstract Plastic scintillators, segmented into small, optically isolated voxels, are used for detecting elementary particles and provide reliable particle identification with nanosecond time resolution. …”
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Comparative Analysis of Machine Learning and Deep Learning Models for Individual Tree Structure Segmentation Using Terrestrial LiDAR Point Cloud Data by Sangjin Lee, Woodam Sim, Yongkyu Lee, Jeongmook Park, Jintaek Kang, Jungsoo Lee

“…This study aims to segment individual tree structures (stem, crown, and ground) from terrestrial LiDAR-derived point cloud data (PCD) and to compare the segmentation accuracy between two models: XGBoost (machine learning) and PointNet++ (deep learning). …”
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Three-Dimensional Semantic Segmentation of Palatal Rugae and Maxillary Teeth and Motion Evaluation of Orthodontically Treated Teeth Using Convolutional Neural Networks by Abdul Rehman El Bsat, Elie Shammas, Daniel Asmar, Kinan G. Zeno, Anthony T. Macari, Joseph G. Ghafari

“…<b data-eusoft-scrollable-element="1">Background:</b> The segmentation of individual teeth in three-dimensional (3D) dental models is a key step in orthodontic computer-aided design systems. …”
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Point Cloud Data Mining With HD Map Priors for Making Synthetic Forest Datasets by Kasparas Karlauskas, Julius Gelsvartas, Povilas Treigys

“…However, substantial amounts of annotated and diverse data are necessary to develop classical and machine learning algorithms for individual tree segmentation. While 3-D point clouds are already notorious for how difficult it is to annotate them, high-altitude airborne laser scans make the task even more difficult due to their lower point density. …”
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AI-powered estimation of tree covered area and number of trees over the Mediterranean island of Cyprus by Anna Zenonos, Sizhuo Li, Martin Brandt, Jean Sciare, Philippe Ciais

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A Bottom-Up Multi-Feature Fusion Algorithm for Individual Tree Segmentation in Dense Rubber Tree Plantations Using Unmanned Aerial Vehicle–Light Detecting and Ranging by Zhipeng Zeng, Junpeng Miao, Xiao Huang, Peng Chen, Ping Zhou, Junxiang Tan, Xiangjun Wang

“…Accurate individual tree segmentation (ITS) in dense rubber plantations is a challenging task due to overlapping canopies, indistinct tree apexes, and intricate branch structures. …”
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