Sustainable drying technologies for forage: A comprehensive review of research progress, strategies, opportunities, and future developments

Sustainable Energy Technologies and Assessments, Journal Year: 2025, Volume and Issue: 77, P. 104324 - 104324

Published: April 24, 2025

Language: Английский

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Energy efficiency characteristics analysis for process diagnosis under anomaly using self-adaptive-based SHAP guided optimization

Energy, Journal Year: 2024, Volume and Issue: 309, P. 133074 - 133074

Published: Sept. 2, 2024

Language: Английский

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Deep one-class classification model assisted by radius constraint for anomaly detection of industrial control systems

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 138, P. 109357 - 109357

Published: Sept. 23, 2024

Language: Английский

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Law of conservation-guided neural network with gradient aggregation for improved energy efficiency optimization in industrial processes

Energy and AI, Journal Year: 2025, Volume and Issue: unknown, P. 100475 - 100475

Published: Jan. 1, 2025

Language: Английский

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Advanced particle technologies in the preparation of dry powders for inhalation

Particuology, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

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Self-Driving Surrogate Modeling for Optimizing Targeted Bio-Oil Yield and Heating Value in Waste Biomass-Plastic Co-Pyrolysis

Journal of Analytical and Applied Pyrolysis, Journal Year: 2025, Volume and Issue: 190, P. 107158 - 107158

Published: May 3, 2025

Language: Английский

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Fouling-Characteristic Transfer Learning for Improving Remaining Useful Lifetime Prediction in Heat Exchange Unit

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 111250 - 111250

Published: May 1, 2025

Language: Английский

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Production Capacity Prediction and Optimization in the Glycerin Purification Process: A Simulation-Assisted Few-Shot Learning Approach

Processes, Journal Year: 2024, Volume and Issue: 12(4), P. 661 - 661

Published: March 26, 2024

Chemical process control relies on a tightly controlled, narrow range of margins for critical variables, ensuring stability and safeguarding equipment from potential accidents. The availability historical data is limited to specific setpoint operation. This challenge raises issues monitoring in predicting adjusting deviations outside the operational parameters. Therefore, this paper proposes simulation-assisted deep transfer learning optimizing final purity production capacity glycerin purification process. proposed network trained by simulation domain generate base feature extractor, which then fine-tuned using few-shot techniques target learner extend working model beyond practice. result shows that improved prediction performance 24.22% water content 79.72% over conventional model. Additionally, implementation identified product quality improvements enhancing

Language: Английский

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Enhancing sustainability in palm oil industry: reinforcement learning for renewable energy management considered climatic variability

Discover Chemical Engineering, Journal Year: 2024, Volume and Issue: 4(1)

Published: Sept. 5, 2024

Language: Английский

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Artificial Intelligence-Driven Control for Enhancing Carbon Dioxide-Based Wastewater pH Regulation in Tubular Reactor

Computers & Chemical Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 108880 - 108880

Published: Sept. 1, 2024

Language: Английский

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