id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
brj-23798	Owens, Frank C.; Ravindran, Prabu; Costa, Adriana; Shmulsky, Rubin; Wiedenhoeft, Alex	Predicting Hardwood Porosity Domains: Toward Cascading Computer-Vision Wood Identification Models	2024	32	.pdf	application/pdf	11797	565	54	Additionally, results of five-fold cross-validation analyses (i.e. internal validation) for both ResNet34 and ResNet50 based model architectures are presented in Table S4 and Figs. DOI: 10.15376/biores.19.4.9741-9772 Keywords: Wood identification; XyloTron; Computer vision; Machine learning; Deep learning; Porosity domain; Cascading models Contact information: a: Department of Sustainable Bioproducts, Mississippi State University, Starkville, MS, USA; b: Department of Botany, University of Wisconsin, Madison, WI, USA; c: Center for Wood Anatomy Research, USDA Forest Service, Forest Products Laboratory, Madison, WI, USA; d: Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA; e: Departamento de Ciências Biológicas (Botânica), Universidade Estadual Paulista – Botucatu, São Paulo, Brasil.	cache/brj-23798.pdf	txt/brj-23798.txt