A light attention-mixed-base deep learning architecture toward process multivariable modeling and knowledge discovery
Y Li, L Hu, N Li, W Shen - Computers & Chemical Engineering, 2023 - Elsevier
Abstract A Light Attention-Mixed-Base Deep Learning Architecture (LAMBDA) is developed
to simultaneously achieve process knowledge discovery and high-accuracy multivariable …
to simultaneously achieve process knowledge discovery and high-accuracy multivariable …
Machine learning for real-time diagnostics of cold atmospheric plasma sources
Real-time diagnostics of cold atmospheric plasma (CAP) sources can be challenging due to
the requirement for expensive equipment and complicated analysis. Data analytics that rely …
the requirement for expensive equipment and complicated analysis. Data analytics that rely …
Conceptual model for Mexican teachers' adoption of learning analytics systems: The integration of the information system success model and the technology …
The undeniable potential benefits of learning analytics (LA) in education have led to growing
investment in developing and integrating LA systems into K-12 schools. Yet, the actual …
investment in developing and integrating LA systems into K-12 schools. Yet, the actual …
Data Quality Over Quantity: Pitfalls and Guidelines for Process Analytics
A significant portion of the effort involved in advanced process control, process analytics,
and machine learning involves acquiring and preparing data. Literature often emphasizes …
and machine learning involves acquiring and preparing data. Literature often emphasizes …
A Novel Process Plant Alarm Dataset and Methodology for Alarm Data Generation
This paper introduces a novel alarm dataset specifically designed for the evaluation of alarm
analysis methods within process plants. The complexity of industrial systems and the …
analysis methods within process plants. The complexity of industrial systems and the …
[PDF][PDF] Providing a Model of Customer Experience Management Based on Knowledge Management Models in the Field of Fintech Using Machine Learning
A Rahmania, M Sorourib, R Radfarc… - Journal of Systems …, 2024 - jm.um.ac.ir
In today's rapidly evolving business environment, knowledge has become crucial for
organizations seeking a competitive advantage. Specifically, customer-related knowledge …
organizations seeking a competitive advantage. Specifically, customer-related knowledge …
Targeted feature extraction: a deep learning approach
Y Tsai - 2023 - open.library.ubc.ca
This thesis details the progressive development of a Machine Learning workflow, aimed
towards multi-class problems in the engineering and clinical fields. We select Deep …
towards multi-class problems in the engineering and clinical fields. We select Deep …
Using Online Machine Learning Methods for Prediction of the Loss of Alumina and the Caustic Soda and Increasing the Carbonate Contamination in the Bayer …
R Monsefi, M Mahmoudian… - Nashrieh Shimi va …, 2022 - nsmsi.ir
In this study, machine learning tools were used to investigate the effect of various factors on
the waste of caustic soda (NaOH) and alumina (Al2O3) and increasing carbonate (Na2CO3) …
the waste of caustic soda (NaOH) and alumina (Al2O3) and increasing carbonate (Na2CO3) …
[图书][B] Advanced Control of Atmospheric Pressure Plasma Jets for Medical Applications
D Gidon - 2019 - search.proquest.com
Abstract Atmospheric Pressure Plasma Jets (APPJs) are versatile tools for materials
processing and medical applications. A key objective for APPJ treatment is the delivery of …
processing and medical applications. A key objective for APPJ treatment is the delivery of …