Mid‐Infrared Spectroscopy and Machine Learning for Nondestructive Detection of Inapparent Deterioration in Acrylic Waterborne Coatings for Wood (Adv. Sustainable Syst. 2/2024)
Source abstract
Abstract
Sustainable Wood Conservation In article 2300354, Yoshikuni Teramoto and co-workers demonstrate that mid-infrared spectroscopy, combined with machine learning, offers a groundbreaking method to nondestructively detect hidden deterioration in wood coatings. This study discerns subtle changes, undetectable by traditional means, and paves the path for sustainable wood conservation. By maximizing material lifespan and ensuring cost-effective maintenance, it marks an indispensable step for eco-friendly wood use.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Industrial Vision Systems and Defect Detection · Wood and Agarwood Research · Wood Treatment and Properties
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Division of Forest and Biomaterials Science, Graduate School of Agriculture Kyoto University Kitashirakawa Oiwake‐cho, Sakyo‐ku Kyoto 6068502 Japan
Gen Gen Corporation 74 Aza Nakano Ori, Kamori‐cho Tsushima city Aichi 4960005 Japan
References
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