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 +3 more
wiley +1 more source
Research on Ground Point Cloud Segmentation Algorithm Based on Local Density Plane Fitting in Road Scene. [PDF]
Wang T +7 more
europepmc +1 more source
Point Cloud Fitting Based on High-Accuracy Segmentation [PDF]
Wenpeng Ge +2 more
openalex +1 more source
Protrusion-oriented Point Cloud Semantic Segmentation
Alexander Agathos, Philip Azariadis
openaire +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Investigation of salt stress effects on maize seedling phenotypic traits based on the PointCornNet point cloud segmentation model. [PDF]
Li X, Ouyang Z, Cheng Q, Zhong Z, Fu X.
europepmc +1 more source
An improved multi-rule region growing method for point cloud segmentation of rock structural planes [PDF]
Mengxi Sun +3 more
openalex +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
A Global-Local Attention Model for 3D Point Cloud Segmentation in Intraoral Scanning: A Novel Approach. [PDF]
Chen H +8 more
europepmc +1 more source
Segmentation of Plant-part from 3D Point Cloud Using Deep Learning and Multi-view Vision
Yibin Lai +5 more
openalex +1 more source

