Results 121 to 130 of about 613,211 (307)
Advanced Intelligent Discovery, EarlyView.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
EU Wood Products and Waste Markets: Trends, Trade Dynamics, and Sustainability Perspective
BioResourcesThe transition to circular bioeconomy in the European Union prioritizes efficient wood resource utilization and waste reduction. This study investigated interrelationships among production of sawnwood and particleboard, as well as intra- and extra-EU ...
Jelena Crnojević +6 more
doaj
The Re-/Up-Cycling of Wood Waste in Wood-Polymer Composites (WPCs) for Common Applications. [PDF]
Polymers (Basel), 2023 Teacă CA +3 more
europepmc +1 more source
From wood to waste and waste to wood
, 2007 In this thesis the flow of elements from the forest to the pulp mill and the possibility to recycle nutrients in solid pulp-mill residues back to the forest have been studied. To get improved estimations of element removal at whole tree harvesting (WTH), the changing element concentrations with changing diameter of Picea abies stems were investigated ...
openaire +1 more source
Advanced Intelligent Discovery, EarlyView.A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
Recent Trends in Metabolomics by NMR Spectroscopy
Angewandte Chemie, EarlyView.AI tools were applied to analyze more than 5 000 publications indexed in Scopus (2018–2025), identifying key trends and research directions in NMR‐based metabolomics. The artificial intelligence‐assisted workflow classified papers into six main fields of application, human health, food and nutrition, veterinary science, plants, environment, and ...
Giorgio Di Paco +6 more
wiley +2 more sources
A New Microwave-Assisted Protocol for Cellulose Extraction from Eucalyptus and Pine Tree Wood Waste. [PDF]
Polymers (Basel), 2023 Vinhas S +4 more
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
The Impact of Milled Wood Waste Bottom Ash (WWBA) on the Properties of Conventional Concrete and Cement Hydration. [PDF]
Materials (Basel), 2023 Vaičienė M +2 more
europepmc +1 more source
Istraživanje tehničko-ekonomske vrijednosti otpadne biomase kao jednog od kriterija tehnološkog i energetskog razvoja drvoprerađivačkih pogona [PDF]
, 2010 A precise establishing of quantity, share, structure and place where wood waste appears considerably influences the speed and direction of technological and energy development of wood processing plants.
Ante Čikić, Živko Kondić
core +1 more source