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<title>Channels - Machine learning-driven research in wood science: from prediction to understanding through the framework of Wood Informatics :: FRELIP Discovery
Channels Machine learning-driven research in wood science: from prediction to understanding through the framework of Wood Informatics
Electrical resistivity of wood–cement biocomposites of
Evaluating fine-tuning and retrieval-augmented generation for domain-specific language modeling in wood science
Natural aging of wood in historic wooden buildings: Literature review
Importance-driven bottleneck model: a multi-stage deep learning approach for analyzing swelling–shrinkage behavior of wood species and their mechanical properties
Model for damage evolution through dynamic stiffness degradation in three wood species subjected to very high cycle fatigue
Relationships between environmental attitudes, appraisals of wooden environments, and wood use behavior in Japan
Effects of water-hammer impacts on aspirated pits and tyloses, liquid permeation, and collapse of wood
Evaluation of Eucalyptus Root Wood in Activated Carbon Production with Two-Stage Production Method
Experimental study on seismic performance of the original and reinforced inclined fork column in the Yingxian Wood Pagoda
Investigating the utilization opportunities of apricot tree (Prunus armeniaca L.) branch wood affected by natural conditions
Evaluation of the Scale-Based Profitability Performance of the Wood Products Manufacturing Sector Using DuPont Analysis Technique
Informality, institutional inconsistency and information asymmetry as barriers for entrepreneurship and innovation in the non-wood forest products sector in Republic of North Macedonia
Determination of the chemical properties of Uludağ fir (Abies nordmanniana subsp. bornmulleriana) wood of similar diameter growing in different site classes
Simultaneous confocal laser scanning microscopy (CLSM) observation of melamine–urea–formaldehyde resin and pMDI wood adhesives penetrating plywood
Advancing Occupational Safety in Forest Management Through a New GIS-AHP Integrated Framework
Evaluation of height-diameter equations for predicting dominant height using data from Estonian forest research plots
Application of Machine Learning and Change Vector Analysis for Monitoring Forest Cover Change in Lore Lindu National Park, Indonesia
The impact of participation in Forestry Students’ Scientific Association of Warsaw University of Life Sciences on professional and personal development of students
Botanical and mycological research in Bielański Forest in Warsaw (central Poland) during the 19th century
Botanical and mycological research of the Bielański Forest (Central Poland) during the twentieth century and current times
Inventory, Ecology, and Habitat of Formica rufa Nests in the Çamkoru Dr. Fuat Adalı Research Forest
Three decades of research efforts on the uses, conservation, and management of Cola nitida (Vent.): State of knowledge and prospects in Africa
Policy change through the lens of private forest owners’ business cooperation: A case study of Slovenia and Slovakia
Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics
