Results 201 to 210 of about 105,450 (329)

A Multi-Sensor Fusion Approach Combined with RandLA-Net for Large-Scale Point Cloud Segmentation in Power Grid Scenario. [PDF]

Sensors (Basel)
Li T, Li S, Xu Z, Alkayem NF, Bao Q, Wang Q.   +5 more
europepmc   +1 more source

Segmentation of Power Tower Point Clouds With Color-Guided Perception and Self-Supervised Pretraining

Wei Liu, Yang Jin, Meng Jiang
openalex   +1 more source

Protrusion-oriented Point Cloud Semantic Segmentation

CAD'23, 2023
Alexander Agathos, Philip Azariadis
openaire   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

Geo-Net: Geometry-Guided Pretraining for Tooth Point Cloud Segmentation. [PDF]

J Dent Res
Liu Y, Liu X, Yang C, Yang Y, Chen H, Yuan Y.   +5 more
europepmc   +1 more source

A Precise Segmentation Algorithm of Pumpkin Seedling Point Cloud Stem Based on CPHNet [PDF]

Qiaomei Deng, Junhong Zhao, Rui Li, Genhua Liu, Yaowen Hu, Ziqing Ye, Guoxiong Zhou   +6 more
openalex   +1 more source

Learning from Synthetic Point Cloud Data for Historical Buildings Semantic Segmentation

, 2020
Christian Morbidoni, Roberto Pierdicca, Marina Paolanti, Ramona Quattrini, Raissa Mammoli   +4 more
openalex   +2 more sources

Segmentation of Plant-part from 3D Point Cloud Using Deep Learning and Multi-view Vision

, 2021
Yibin Lai, Shenglian Lu, Tingting Qian, Ming Chen, Zhen Song, Li Guo   +5 more
openalex   +1 more source

Internet of Things‐Based Framework Application at a University Campus Scale: Linking Smart Monitoring Systems and Stormwater Management

Advanced Intelligent Discovery, EarlyView.
This study presents an Internet of Things‐based stormwater monitoring framework piloted at the University of Maryland campus to support Municipal Separate Stormwater Sewer System compliance and adaptive planning. Developed with key campus stakeholders, the framework integrates real‐time sensor deployment, data‐informed insights on runoff and water ...
Qianyao Si, Priscila B. R. Alves, Mitchell A. Pavao‐Zuckerman, Allen P. Davis, Tara Burke, Bryan S. Quinn, Elizabeth M. Bonsignore, Jennifer A. Cotting, Jason Baer, Kaitlyn Peterson, Pierre Gaunaurd, Tamara L. Clegg, David Loshin, Andrew M. Fellows, Taylor Keen, Gerrit J. Knaap, Marccus D. Hendricks   +16 more
wiley   +1 more source

NELD-EC: Neighborhood-Effective-Line-Density-Based Euclidean Clustering for Point Cloud Segmentation. [PDF]

Sensors (Basel)
Su Z, Du S, Hao J, Han B, Ge P, Wang Y.
europepmc   +1 more source