Investigating the Effect of Pre-processing Methods on Model Decision-Making in EEG-Based Person Identification DOI
Carlos Gómez Tapia, Bojan Božić, Luca Longo

et al.

Communications in computer and information science, Journal Year: 2023, Volume and Issue: unknown, P. 131 - 152

Published: Jan. 1, 2023

Language: Английский

Classifying Ore Deposits Based on La-Icp-Ms Geochemistry of Natural Gold DOI

Angel Augusto Verbel,

Maria Emília Schutesky, Daniel D. Gregory

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
A Novel Multi-Morphological Representation Approach for Multi-Source EEG Signals DOI
Yunyuan Gao,

Ming Meng,

Feng Fang

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
ML-Based Maintenance and Control Process Analysis, Simulation, and Automation—A Review DOI Creative Commons
Izabela Rojek, Dariusz Mikołajewski, Ewa Dostatni

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(19), P. 8774 - 8774

Published: Sept. 28, 2024

Automation and digitalization in various industries towards the Industry 4.0/5.0 paradigms are rapidly progressing thanks to use of sensors, Industrial Internet Things (IIoT), advanced fifth generation (5G) sixth (6G) mobile networks supported by simulation automation processes using artificial intelligence (AI) machine learning (ML). Ensuring continuity operations under different conditions is becoming a key factor. One most frequently requested solutions currently predictive maintenance, i.e., maintenance based on ML. This article aims extract main trends area ML-based present studies publications, critically evaluate compare them, define priorities for their research development our own experience literature review. We provide examples how BCI-controlled due brain–computer interfaces (BCIs) play transformative role AI-based enabling direct human interaction with complex systems.

Language: Английский

Citations

0
Operation Data Analysis and Performance Optimization of the Air-Cooled System in a Coal-Fired Power Plant Based on Machine Learning Algorithms DOI Creative Commons

Angjun Xie,

Gang Xu,

Chunming Nie

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(22), P. 5571 - 5571

Published: Nov. 7, 2024

Air-cooling technology has been widely used for its water-saving advantage, and the performance of air-cooled condensers (ACC) an important impact on operation status unit. In this paper, ACC in a typical coal-fired power plant is optimized by using machine learning (ML) algorithms. Based real data unit, paper establishes back pressure optimization model propagation neural network (BPNN), random forest (RF), genetic algorithm (GA-BP) methods, respectively, conducts comparative analysis power-saving effect three The results show that algorithms offer significant savings low-load section smaller high-load section. Moreover, when ambient temperature lower than 10 °C, after not much different; greater BPNN RF significantly better GA-BP. method good improving ACC.

Language: Английский

Citations

0
Investigating the Effect of Pre-processing Methods on Model Decision-Making in EEG-Based Person Identification DOI
Carlos Gómez Tapia, Bojan Božić, Luca Longo

et al.

Communications in computer and information science, Journal Year: 2023, Volume and Issue: unknown, P. 131 - 152

Published: Jan. 1, 2023

Language: Английский

Citations

0