Making wood inspection easier: FTIR spectroscopy and machine learning for Brazilian native commercial wood species identification

Jesus, Everton; Franca, Thiago; Calvani, Camila; Lacerda, Miller; Gonçalves, Daniel; Oliveira, Samuel L.; Marangoni, Bruno; Cena, Cicero

doi:10.1039/d4ra00174e

RSC Adv.

2024

DOI: 10.1039/d4ra00174e

|View full text |Cite

Making wood inspection easier: FTIR spectroscopy and machine learning for Brazilian native commercial wood species identification

Everton Jesus,

Thiago Franca,

Camila Calvani

et al.

Abstract: Sawdust molecular spectra are used as input data for the machine-learning algorithm to classify/identify different wood species.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 31 publications

(77 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

Constructing Thermal Convection Film for Low Heat Loss and High Salt Resistance in Wood‐Based Solar Evaporators

Pang,

Ma,

Song

et al. 2024

Small

View full text Add to dashboard Cite

Unique suspension solar evaporator is one of the effective measures to address the major bottleneck of the emerging interfacial evaporators, i.e., the accumulation of salts on the surface. Yet, it remains a considerable challenge to avoid substantial heat loss underwater. Herein, a suspension wood‐based evaporator is proposed with a thermal convection structure that effectively balances the contradiction between salt‐resistance ability and heat loss. Benefitting from the heat centralization due to thermal convection, such suspension evaporator exhibits an excellent steam generation rate, which increases from 1.23 to 1.63 kg m−2 h−1 compared to the conventional suspension evaporator. Simultaneously, the steam generation rate retention improves from 64.9% over 20 test cycles to nearly 100% compared to the interfacial evaporator. This work provides an effective pathway for exploring efficient and stable suspension evaporators, offering essential directions for the future development and application of solar‐driven evaporation technologies.

show abstract

Constructing Thermal Convection Film for Low Heat Loss and High Salt Resistance in Wood‐Based Solar Evaporators

Pang,

Ma,

Song

et al. 2024

Small

View full text Add to dashboard Cite

show abstract

Geographical profiling of wood samples via ATR-FTIR spectroscopy and machine learning algorithms: Application in wood forensics

Garg,

Sharma,

Sharma

2024

Forensic Science International: Reports

View full text Add to dashboard Cite

New insights into the influencing mechanisms of hemicellulose removal on dynamic wood-water interactions characterized with low-field NMR

Yang,

Luo,

Wang

et al. 2024

Industrial Crops and Products

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Making wood inspection easier: FTIR spectroscopy and machine learning for Brazilian native commercial wood species identification

Abstract: Sawdust molecular spectra are used as input data for the machine-learning algorithm to classify/identify different wood species.

Cited by 3 publications

References 31 publications

Constructing Thermal Convection Film for Low Heat Loss and High Salt Resistance in Wood‐Based Solar Evaporators

Constructing Thermal Convection Film for Low Heat Loss and High Salt Resistance in Wood‐Based Solar Evaporators

Geographical profiling of wood samples via ATR-FTIR spectroscopy and machine learning algorithms: Application in wood forensics

New insights into the influencing mechanisms of hemicellulose removal on dynamic wood-water interactions characterized with low-field NMR

Contact Info

Product

Resources

About