Distributions of MOE and MOR in a full lumber population FC Owens, SP Verrill, R Shmulsky, DE Kretschmann Wood Fiber Sci 50 (3), 265-279, 2018 | 23 | 2018 |
Field-deployable computer vision wood identification of Peruvian timbers P Ravindran, FC Owens, AC Wade, P Vega, R Montenegro, R Shmulsky, ... Frontiers in Plant Science 12, 647515, 2021 | 19 | 2021 |
Distributions of modulus of elasticity and modulus of rupture in four mill-run lumber populations FC Owens, SP Verrill, R Shmulsky, RJ Ross Wood Fiber Sci 51 (2), 183-192, 2019 | 19 | 2019 |
Statistical models for the distribution of modulus of elasticity and modulus of rupture in lumber with implications for reliability calculations. SP Verrill, FC Owens, DE Kretschmann, R Shmulsky Research Paper-Forest Products Laboratory, USDA Forest Service, 2017 | 13 | 2017 |
Towards Sustainable North American Wood Product Value Chains, Part I: Computer Vision Identification of Diffuse Porous Hardwoods P Ravindran, FC Owens, AC Wade, R Shmulsky, AC Wiedenhoeft Frontiers in Plant Science journal 12, 1-13, 2022 | 12 | 2022 |
A fit of a mixture of bivariate normals to lumber stiffness—strength data SP Verrill, FC Owens, DE Kretschmann, R Shmulsky Res. Paper FPL-RP-696. Madison, WI: US Department of Agriculture, Forest …, 2018 | 10 | 2018 |
Visual and MSR Grades of Lumber Are Not 2-parameter Weibulls and Why This May Matter SP Verrill, FC Owens, DE Kretschmann, R Shmulsky, LS Brown Journal of Testing and Evaluation 48 (5), 3946-3962, 2020 | 8 | 2020 |
Visual and MSR grades of lumber are not two-parameter Weibulls and why it matters (with a discussion of censored data fitting) SP Verrill, FC Owens, DE Kretschmann, R Shmulsky, LS Brown Res Pap. FPL-RP-703. Madison, WI: US Department of Agriculture, Forest …, 2019 | 8 | 2019 |
Distributions of MOE and MOR in eight mill-run lumber populations (four mills at two times) FC Owens, SP Verrill, R Shmulsky, RJ Ross Wood Fiber Sci 52 (2), 165-177, 2020 | 7 | 2020 |
Strength and Stiffness of 8-Inch Deep Mixed Hardwood Composite Timber Mats FC Owens, RD Seale, R Shmulsky BioResources 15 (2), 2495-2500, 2020 | 7 | 2020 |
Within-mill variation in the means and variances of MOE and MOR of mill-run lumber over time GC Anderson, FC Owens, R Shmulsky, RJ Ross Wood Fiber Sci 51 (4), 387-401, 2019 | 7 | 2019 |
Towards sustainable North American wood product value chains, part 2: computer vision identification of ring-porous hardwoods P Ravindran, AC Wade, FC Owens, R Shmulsky, AC Wiedenhoeft Canadian Journal of Forest Research 52 (7), 1014-1027, 2022 | 5 | 2022 |
Improved models for predicting the modulus of rupture of lumber under third point loading S Verrill, FC Owens, R Shmulsky, R Ross FS Research Paper 712, 1-38, 2021 | 5 | 2021 |
Estimated Probability of Breakage of Lumber of a Fixed “Grade” Can Vary Greatly from Mill to Mill and Time to Time SP Verrill, FC Owens, MA Arvanitis, DE Kretschmann, R Shmulsky, ... | 5 | 2020 |
Correlations between Grain Angle Meter Readings and Bending Properties of Mill-Run Southern Pine Lumber GC Anderson, FC Owens, F Franca, RJ Ross, R Shmulsky Forest Products Journal 70 (3), 275-278, 2020 | 5 | 2020 |
Fitting statistical distribution models to MOE and MOR in mill-run spruce and red pine lumber populations GC Anderson, FC Owens, SP Verrill, RJ Ross, R Shmulsky Wood and Fiber Science 53 (1), 17-26, 2021 | 4 | 2021 |
Construction of an Economic Model for Prospective Forest Products Manufacturing Facilities JW Griffin, RD Seale, FC Owens, LA Grace BioResources 15 (2), 3874-3887, 2020 | 3 | 2020 |
Comparison of wood utility crossarm properties from 1995 and 2015 T Catchot, FC Owens, R Shmulsky, HM Barnes Forest Products Journal 67 (1-2), 50-54, 2017 | 3 | 2017 |
USING NONDESTRUCTIVE TESTING TO IDENTIFY PREMIUM GRADES IN SOUTHERN PINE AND DOUGLAS-FIR UTILITY CROSSARMS T Catchot, FC Owens, R Shmulsky, RD Seale Wood and Fiber Science 49 (1), 105-112, 2017 | 3 | 2017 |
Industrial-scale Pelletization of Southern Pine Energy Pellets with Various Additives C Blake, J Street, J Wooten, B Mitchell, FC Owens Applied Engineering in Agriculture 35 (6), 889-901, 2019 | 2 | 2019 |