OPM-MEG bad channel identification method based on the improved box-isolation forest algorithm
R Wang, Z Jia, R Zhao, Y Gao, X Ning - Measurement, 2024 - Elsevier
Bad channels result from the inherent instability of wearable optically pumped
magnetometers (OPMs). These unreliable channels significantly impede subsequent signal …
magnetometers (OPMs). These unreliable channels significantly impede subsequent signal …
Investigation of ship energy consumption based on neural network
Due to fuel price fluctuations and greenhouse gas emissions caused by international
shipping, the reduction of ship fuel consumption is important. In this paper, a ship energy …
shipping, the reduction of ship fuel consumption is important. In this paper, a ship energy …
H-Net: Heterogeneous Neural Network for Multi-Classification of Neuropsychiatric Disorders
L Liu, J Xie, J Chang, Z Liu, T Sun… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Clinical studies have proved that both structural magnetic resonance imaging (sMRI) and
functional magnetic resonance imaging (fMRI) are implicitly associated with …
functional magnetic resonance imaging (fMRI) are implicitly associated with …
Identification of D-and L-phenylalanine enantiomeric mixtures by employing deep neural network models
E Nigdelioglu, E Toprak, MG Akkurt, DE Barkana… - Journal of Molecular …, 2024 - Elsevier
Phenylalanine is an aromatic essential amino acid that exhibits the tendency to self-
aggregate into fibrillar structures in its enantiomerically pure form. This observation was …
aggregate into fibrillar structures in its enantiomerically pure form. This observation was …
Classification of Human Concentration Levels Based on Electroencephalography Signals
Concentration denotes the capability to direct one's attention to a specific subject matter.
Presently, within the era characterized by an overwhelming abundance of information …
Presently, within the era characterized by an overwhelming abundance of information …
Multi-Source Domain Separation Adversarial Domain Adaptation for Eeg Emotion Recognition
Q Ai, C Wang, K Chen, L Ma - Available at SSRN 4873059 - papers.ssrn.com
Advancements in deep learning have propelled emotion-based brain-computer interfaces
(BCI) forward, particularly in medical and rehabilitation applications. Within these BCI …
(BCI) forward, particularly in medical and rehabilitation applications. Within these BCI …