Open Access
| Issue |
E3S Web Conf.
Volume 661, 2025
The 18th Thai Society of Agricultural Engineering International Conference “Climate Resilient Agriculture for Asia” (TSAE 2025)
|
|
|---|---|---|
| Article Number | 04021 | |
| Number of page(s) | 10 | |
| Section | Energy and Environment | |
| DOI | https://doi.org/10.1051/e3sconf/202566104021 | |
| Published online | 13 November 2025 | |
- V. Masson-Delmotte, et al., Ipcc, 2021: Summary for policymakers. in: Climate change 2021: The physical science basis. contribution of working group i to the sixth assessment report of the intergovernmental panel on climate change. 2021. [Google Scholar]
- A.I. Osman, et al., Conversion of biomass to biofuels and life cycle assessment: a review. Environmental chemistry letters. 19(6), 4075-4118 (2021) https://doi.org/10.1007/s10311-021-01268-0 [Google Scholar]
- A. Demirbas, Biomass resource facilities and biomass conversion processing for fuels and chemicals. Energy conversion and Management. 42(11), 1357-1378 (2001) https://doi.org/10.1016/S0196-904(00)00137-0 [Google Scholar]
- F. Cherubini, et al., CO2 emissions from biomass combustion for bioenergy: atmospheric decay and contribution to global warming. Gcb Bioenergy. 3(5), 413-426 (2011) https://doi.org/10.1111/j.1757-1707.2011.01102.x [Google Scholar]
- A.A. Jamali, R. Ghorbani Kalkhajeh, Urban environmental and land cover change analysis using the scatter plot, kernel, and neural network methods. Arabian Journal of Geosciences. 12(3), 100 (2019) https://doi.org/10.1007/s12517-019-4263-2 [Google Scholar]
- J.W. Osborne, A. Overbay, The power of outliers (and why researchers should always check for them). Practical Assessment, Research, and Evaluation. 9(1), 6 (2004) https://doi.org/10.7275/qf69-7k43 [Google Scholar]
- R.B. Kline, Principles and practice of structural equation modeling, (Guilford publications, 2023) [Google Scholar]
- R.J. Little, D.B. Rubin, Statistical analysis with missing data, (John Wiley & Sons, 2019) [Google Scholar]
- M. Kuhn, K. Johnson, Applied predictive modeling, (Springer New York, NY, 2013) https://doi.org/10.1007/978-1-4614-6849-3 [Google Scholar]
- B. Shrestha, et al., Comprehensive Assessment of Biomass Properties for Energy Usage Using Near-Infrared Spectroscopy and Spectral Multi-Preprocessing Techniques. Energies. 16(14), 5351 (2023) https://doi.org/10.3390/en16145351 [Google Scholar]
- W.S. Cleveland, Visualizing data, (Hobart press, 1993) [Google Scholar]
- Y. Pan, et al., A large and persistent carbon sink in the world's forests. science. 333(6045), 988-993 (2011) https://doi.org/10.1126/science.1201609 [Google Scholar]
- Weisberg, S., Applied linear regression. Vol. 528. 2005: John Wiley & Sons. [Google Scholar]
- Batini, C., et al., Methodologies for data quality assessment and improvement. ACM computing surveys (CSUR), 2009. 41(3): p. 1-52. https://doi.org/10.1145/1541880.1541883 [Google Scholar]
- Garcia, S., et al., Big data preprocessing: methods and prospects. Big data analytics. 1(1), 9 (2016) https://doi.org/10.1186/s41044-016-0014-0 [Google Scholar]
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