Feature Selection and Hyperparameter Fine-Tuning in Artificial Neural Networks for Wood Quality Classification DOI
Mateus Roder, Leandro A. Passos, João Paulo Papa

et al.

Lecture notes in computer science, Journal Year: 2023, Volume and Issue: unknown, P. 323 - 337

Published: Jan. 1, 2023

Language: Английский

Synthesis and suitability characterization of microcrystalline cellulose from Citrus x sinensis sweet orange peel fruit waste-based biomass for polymer composite applications DOI
Murugesan Palaniappan, Sivasubramanian Palanisamy, Rashid Khan

et al.

Journal of Polymer Research, Journal Year: 2024, Volume and Issue: 31(4)

Published: March 19, 2024

Language: Английский

Citations

13
Tea byproducts biorefinery for bioenergy recovery and value-added products development: A step towards environmental sustainability DOI
Vineet Kumar, Sartaj Ahmad Bhat, Sunil Kumar

et al.

Fuel, Journal Year: 2023, Volume and Issue: 350, P. 128811 - 128811

Published: June 1, 2023

Language: Английский

Citations

14
A sustainable biomass-based microcrystalline cellulosic biofiller from Cissus quadrangularis Linn plant stem: biomass to biomaterial approach DOI
Divya Divakaran, Indran Suyambulingam,

Rapeeporn Srisuk

et al.

Biomass Conversion and Biorefinery, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 27, 2024

Language: Английский

Citations

3
Optimizing microalgal biomass conversion into carbon materials and their application in water treatment: a machine learning approach DOI
Arwa Abdulkreem AL‐Huqail,

Khidhair Jasim Mohammed,

Meldi Suhatril

et al.

Carbon letters, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 23, 2025

Language: Английский

Citations

0
Extraction and characterization of biomass microcrystalline cellulose from Terminalia catappa leaves for food packaging applications DOI

P. Senthamaraikannan,

Narayana Perumal Sunesh,

Divya Divakaran

et al.

Biomass Conversion and Biorefinery, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 29, 2024

Language: Английский

Citations

3
Extraction and characterization of microcrystalline cellulose from Vachellia nilotica plant leaves: A biomass waste to wealth approach DOI

B. Vithya,

S. S. Saravanakumar,

P. Senthamaraikannan

et al.

Physiologia Plantarum, Journal Year: 2024, Volume and Issue: 176(3)

Published: May 1, 2024

Abstract Biobased waste utilization is an intriguing area of research and ecologically conscious approach. Plant‐based materials can be used to render cellulose, which eco‐friendly material that in numerous aspects. In the current investigation, cellulose was extracted from leaves Vachellia nilotica plant via acid hydrolysis. The application this specifically directed toward undesirable sources. To validate FT‐IR spectroscopy applied. measured have a density 1.234 g/cm 3 . crystallinity index (58.93%) size (11.56 nm) are evaluated using X‐ray diffraction analysis. highest degradation temperature (320.8°C) observed thermogravimetry differential scanning calorimetry curve analysis particle conducted utilizing images captured by electron microscopy. Particle less than 30 μm found they exhibit non‐uniform orientation. Additionally, atomic force microscopy shows improved average surface roughness (Ra), increases possibility as reinforcement biofilms.

Language: Английский

Citations

1
Using artificial neural networks for estimating the compressive strength of andesite-substituted cement-based composites DOI Creative Commons
Şükrü Özkan, Hakan Ceylan, Mustafa Sivri

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Feb. 1, 2023

Abstract In this study, the effect of waste andesite dust (WAD) substitution used in production cement-based composites on strength values composite material was investigated using artificial neural networks (ANN). mixtures, WAD substituted with cement at six different ratios as 5%, 10%, 15%, 20%, 25% and 30% by weight. addition, curing times compressive two 28-days 90-days times. While replacement rates constituted main input data for ANN, 28 output data. When obtained from estimation conducted ANN experimental under laboratory conditions were compared, it determined that compatibility between them good a 99% coefficient determination. 5% rate mixtures provided higher among other rates.

Language: Английский

Citations

2
Investigation the effect of nanocarbon tube prepared from tea waste on microstructure and properties of cement mortar DOI
Mohammad I. Al Biajawi, May F. Abdulrahman, Wahran M. Saod

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 26, 2023

Language: Английский

Citations

2
Development of smart nanomaterials from tea waste and their applications: Recent advances, challenges, and perspectives DOI
Vineet Kumar, Sartaj Ahmad Bhat, Pradeep Verma

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 677 - 701

Published: Sept. 6, 2024

Language: Английский

Citations

0
Influence of processed tea waste ash on the hydration products and mechanical property of hybrid cement as an eco-friendly solution DOI

Cemalettin Terzi,

Sezai Kütük, Tuba Kütük-Sert

et al.

Waste Management, Journal Year: 2024, Volume and Issue: 191, P. 242 - 252

Published: Nov. 20, 2024

Language: Английский

Citations

0