Search Results - "Laurence Schimleck"

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  1. 1

    Prediction of Static Bending Properties of Eucalyptus Clones Using Stress Wave Measurements on Standing Trees, Logs and Small Clear Specimens by Doan Van Duong, Laurence Schimleck

    Published in Forests (01-10-2022)
    “…In this study, we used both nondestructive and destructive methods for assessing solid wood properties in six Vietnamese grown Eucalyptus clones at 6 years…”
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    Journal Article
  2. 2

    Utilization of genetic algorithms to optimize loblolly pine wood property models based on NIR spectra and SilviScan data by Ho, Tu X., Schimleck, Laurence R., Dahlen, Joseph, Sinha, Arijit

    Published in Wood science and technology (01-09-2022)
    “…Near-infrared wavelengths selected by genetic algorithm were used to optimize partial least squares (PLS) regression models for loblolly pine ( Pinus taeda L.)…”
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    Journal Article
  3. 3

    Utilization of Synthetic Near-Infrared Spectra via Generative Adversarial Network to Improve Wood Stiffness Prediction by Ali, Syed Danish, Raut, Sameen, Dahlen, Joseph, Schimleck, Laurence, Bergman, Richard, Zhang, Zhou, Nasir, Vahid

    Published in Sensors (Basel, Switzerland) (01-03-2024)
    “…Near-infrared (NIR) spectroscopy is widely used as a nondestructive evaluation (NDE) tool for predicting wood properties. When deploying NIR models, one faces…”
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    Journal Article
  4. 4

    Utilization of genetic algorithms to optimize Eucalyptus globulus pulp yield models based on NIR spectra by Ho, Tu X., Schimleck, Laurence R., Sinha, Arijit

    Published in Wood science and technology (01-05-2021)
    “…An optimization problem was developed by using a genetic algorithm to select wavelengths for establishing multivariate calibration models based on partial…”
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  5. 5

    On the selection of the weighting parameter value in optimizing Eucalyptus globulus pulp yield models based on NIR spectra by Zhen, Yi, Ho, Tu X., Roberts, Lindon, Schimleck, Laurence R., Sinha, Arijit

    Published in Wood science and technology (01-11-2022)
    “…Prediction of pulp yield of Eucalyptus globulus wood samples based on partial least squares (PLS) regression can be optimized by utilizing specific near…”
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  6. 6

    Non-Destructive Evaluation Techniques and What They Tell Us about Wood Property Variation by Laurence Schimleck, Joseph Dahlen, Luis A. Apiolaza, Geoff Downes, Grant Emms, Robert Evans, John Moore, Luc Pâques, Jan Van den Bulcke, Xiping Wang

    Published in Forests (01-09-2019)
    “…To maximize utilization of our forest resources, detailed knowledge of wood property variation and the impacts this has on end-product performance is required…”
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  7. 7

    Whole-tree tracheid property maps for loblolly pine at different ages by Schimleck, Laurence R., Antony, Finto, Mora, Christian, Dahlen, Joseph

    Published in Wood science and technology (01-05-2020)
    “…Maps developed using Akima’s interpolation method, and representing average data for trees aged 13 and 22 years, were used to compare patterns of within-tree…”
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  8. 8

    Quality Control of Thermally Modified Western Hemlock Wood Using Near-Infrared Spectroscopy and Explainable Machine Learning by Nasir, Vahid, Schimleck, Laurence, Abdoli, Farshid, Rashidi, Maria, Sassani, Farrokh, Avramidis, Stavros

    Published in Polymers (01-10-2023)
    “…The quality control of thermally modified wood and identifying heat treatment intensity using nondestructive testing methods are critical tasks. This study…”
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  9. 9

    Wood and Fiber Quality of Plantation-Grown Conifers: A Summary of Research with an Emphasis on Loblolly and Radiata Pine by Laurence Schimleck, Finto Antony, Joseph Dahlen, John Moore

    Published in Forests (26-05-2018)
    “…With conifer plantations having an increasingly important role in meeting the fiber needs of society, an understanding of the effect of silvicultural practices…”
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  10. 10

    Modeling and Monitoring of Wood Moisture Content Using Time-Domain Reflectometry by Joseph Dahlen, Laurence Schimleck, Erik Schilling

    Published in Forests (01-04-2020)
    “…Time-domain reflectometry (TDR) can monitor the moisture content (MC) of water saturated logs stored in wet-decks where the MC exceeds the range that can be…”
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  11. 11

    Variation in specific gravity and shrinkage of tapped rubberwood by Onakpoma, Ighoyivwi, Ogunsanwo, Olukayode, Ohwo, Oghenekevwe Abigail, Schimleck, Laurence, Leavengood, Scott, Antony, Finto

    Published in Maderas (25-09-2024)
    “…Hevea brasiliensis (rubber tree), a major source of natural rubber, could also be an important source of lumber as senescence occurs. However, latex collection…”
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  12. 12

    Comparison of Whole-Tree Wood Property Maps for 13- and 22-Year-Old Loblolly Pine by Laurence Schimleck, Finto Antony, Christian Mora, Joseph Dahlen

    Published in Forests (24-05-2018)
    “…Maps developed using Akima's interpolation method were used to compare patterns of within-tree variation for Pinus taeda L. (loblolly pine) wood properties in…”
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  13. 13

    Rubberwood—Potential for Pulp and Composite Board Utilization by Ighoyivwi Onakpoma, Olukayode Y. Ogunsanwo, Oghenekevwe A. Ohwo, Sameen Raut, Queen Aguma, Laurence R. Schimleck, Scott Leavengood

    Published in Forests (01-09-2023)
    “…Rubberwood (Hevea brasiliensis Muell. Arg) is underutilized in most developing countries but has potential to be a solution to the shortage of wood for pulp,…”
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  14. 14

    Mapping and modeling within-tree variation for loblolly pine pulp yield and lignin content by Schimleck, Laurence R., Antony, Finto, Mora, Christian, Dahlen, Joseph

    Published in SN applied sciences (01-04-2021)
    “…We examined the within-tree variation of pulp yield and lignin content for loblolly pine ( Pinus taeda L.) trees aged 13 and 22 years. Radial trends in pulp…”
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  15. 15

    Relationships between Static Mechanical Properties and SilviScan Measured Wood Properties in Loblolly Pine by Dahlen, Joseph, Antony, Finto, Schimleck, Laurence R, Daniels, Richard F

    Published in Forest products journal (22-03-2018)
    “…Abstract Relationships between static bending modulus of elasticity (MOE) and SilviScan (SS) properties (SilviScan MOE [MOE SS ], specific gravity, and…”
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  16. 16

    Genetic variation in Pinus taeda wood properties predicted using non-destructive techniques by Isik, Fikret, Mora, Christian R., Schimleck, Laurence R.

    Published in Annals of forest science. (01-03-2011)
    “…• Background Tree breeders have been reluctant to include wood traits in tree improvement programs owing to logistic difficulties and the cost associated with…”
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  17. 17

    Modeling the effect of initial planting density on within tree variation of stiffness in loblolly pine by Antony, Finto, Schimleck, Laurence R., Jordan, Lewis, Daniels, Richard F., Clark, Alex

    Published in Annals of forest science. (01-07-2012)
    “…Context Modulus of elasticity (MOE) is an important mechanical property determining the end-use and value of loblolly pine ( Pinus taeda L.) lumber. Aim In…”
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  18. 18

    ATR-FTIR Study of Alaska Yellow Cedar Extractives and Relationship with Their Natural Durability by Shahlinney Lipeh, Laurence Schimleck, Mark E. Mankowski, Armando G. McDonald, Jeffrey J. Morrell

    Published in Forests (01-12-2021)
    “…New approaches for assessing wood durability are needed to help categorize decay resistance as timber utilization shifts towards plantations or native forest…”
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  19. 19

    Effects of Vegetation Management on Wood Properties and Plant Water Relations of Four Conifer Species in the Pacific Northwest of the USA by Joyce Aernouts, Carlos A. Gonzalez-Benecke, Laurence R. Schimleck

    Published in Forests (01-06-2018)
    “…In plantation forests, competition from unwanted vegetation may reduce survival and negatively impact tree growth. The goal of this study was to examine the…”
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  20. 20

    Kernel regression methods for the prediction of wood properties of Pinus taeda using near infrared spectroscopy by Mora, Christian R, Schimleck, Laurence R

    Published in Wood science and technology (01-11-2010)
    “…Near infrared diffuse reflectance spectra collected in 10-mm sections were used for the estimation of air-dry density (AD), microfibril angle (MFA), stiffness…”
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