Robust prediction for characteristics of digestion products in an industrial-scale biogas project via typical non-time series and time-series machine learning algorithms DOI

Ruixia Shen,

Peihao Sun, Jie Liu

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 498, P. 155582 - 155582

Published: Sept. 11, 2024

Language: Английский

Prediction of activation energy of lignocellulosic biomass pyrolysis through thermogravimetry-assisted machine learning DOI
Xiaoxiao Yin, Junyu Tao,

Jinglan Wang

et al.

Biomass and Bioenergy, Journal Year: 2025, Volume and Issue: 194, P. 107644 - 107644

Published: Feb. 3, 2025

Language: Английский

Citations

1
Thermogravimetric analysis and kinetic modeling for empty fruit bunch date palm pyrolysis DOI
Casimir Kalibé Fanezouné, Asma Dhahak, Jorge Peixinho

et al.

Bioresource Technology Reports, Journal Year: 2024, Volume and Issue: 27, P. 101916 - 101916

Published: July 29, 2024

Language: Английский

Citations

6
Combustion study of rice husk under different heating rates by integrating thermogravimetric analysis and decision tree regression DOI Creative Commons
Suluh Pambudi, Jiraporn Sripinyowanich Jongyingcharoen, Wanphut Saechua

et al.

BIO Web of Conferences, Journal Year: 2025, Volume and Issue: 150, P. 02004 - 02004

Published: Jan. 1, 2025

This study investigates the combustion behavior of rice husk using thermogravimetric analysis coupled with decision tree regression. Results indicated that increasing heating rates caused elevated burnout (T b ) and peak temperatures p while extending active stage. The optimized model effectively predicts mass loss, demonstrated by a perfect coefficient determination (R²) 1 low root mean square error (RMSE) 0.1993 on validation set. model’s robustness suggested its potential for accurate loss prediction in combustion.

Language: Английский

Citations

0
Efficient Deep Fake Detection Technique on Video and Audio Dataset Using Deep Learning DOI

Rahul Vadishetty

Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 137 - 155

Published: Jan. 1, 2025

Language: Английский

Citations

0
Prediction of Cyp3a4-Catalyzed Metabolic Activation with Integrated Method And In Vitro Validation DOI

Xin-Ru Teng,

Shuyan Gao,

Hui Zhang

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Application of Machine Learning for Seam Profile Identification in Robotic Welding DOI Creative Commons

Fatemeh Habibkhah,

M. Moallem

Machine Learning with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 100633 - 100633

Published: Feb. 1, 2025

Language: Английский

Citations

0
Explainable machine learning for predicting thermogravimetric analysis of oxidatively torrefied spent coffee grounds combustion DOI
Suluh Pambudi, Jiraporn Sripinyowanich Jongyingcharoen, Wanphut Saechua

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135288 - 135288

Published: Feb. 1, 2025

Language: Английский

Citations

0
Determining whether biochar can effectively increase crop yields: A machine learning model development with imbalanced data DOI Creative Commons
Weidong Jiao, Kechao Li, Min Zhou

et al.

Environmental Technology & Innovation, Journal Year: 2025, Volume and Issue: unknown, P. 104154 - 104154

Published: March 1, 2025

Language: Английский

Citations

0
Thermo-kinetic analysis of co-pyrolysis of Platanus tree leaves with coals DOI
Muhammad Shoaib, Xiaoke Ku, Vikul Vasudev

et al.

International Journal of Coal Preparation and Utilization, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18

Published: March 19, 2025

Language: Английский

Citations

0
Artificial intelligence strategies based on random forests for detection of AI-generated content in public health DOI
Igor Pantić, Snežana Mugoša

Public Health, Journal Year: 2025, Volume and Issue: 242, P. 382 - 387

Published: April 8, 2025

Language: Английский

Citations

0