Results 21 to 30 of about 172,332 (339)
An Efficient LSTM Network for Emotion Recognition From Multichannel EEG Signals
IEEE Transactions on Affective Computing, 2020 Most previous EEG-based emotion recognition methods studied hand-crafted EEG features extracted from different electrodes. In this article, we study the relation among different EEG electrodes and propose a deep learning method to automatically extract ...
Xiaobing Du +9 more
semanticscholar +1 more source
Journal of Theoretical and Applied Electronic Commerce Research, 2022 COVID-19 has undeniably impacted the retail industry sectors; we are now witnessing the emergence of a large body of research on the effects of the pandemic in retailing.
Emiliano Acquila-Natale +3 more
doaj +1 more source
Effects of Interchannel Crosstalk in Multichannel Microphone Technique [PDF]
Even though the significance of interchannel crosstalk in multichannel microphone technique has been an issue of much debate in the field of sound recording, any effects on the perception of reproduced phantom images have not been investigated ...
Lee, Hyunkook
core +4 more sources
Perceptually modelled effects of interchannel crosstalk in multichannel microphone technique [PDF]
One of the most noticeable perceptual effects of interchannel crosstalk in multichannel microphone technique is an increase in perceived source width.
Lee, Hyunkook +2 more
core +4 more sources
Open Ephys: an open-source, plugin-based platform for multichannel electrophysiology
Journal of Neural Engineering, 2017 Objective. Closed-loop experiments, in which causal interventions are conditioned on the state of the system under investigation, have become increasingly common in neuroscience.
Joshua H. Siegle +5 more
semanticscholar +1 more source
Channel-Attention Dense U-Net for Multichannel Speech Enhancement [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020 Supervised deep learning has gained significant attention for speech enhancement recently. The state-of-the-art deep learning methods perform the task by learning a ratio/binary mask that is applied to the mixture in the time-frequency domain to produce ...
Bahareh Tolooshams +4 more
semanticscholar +1 more source
Multichannel Inductive Sensor Based on Phase Division Multiplexing for Wear Debris Detection
Micromachines, 2019 Inductive wear debris sensor has been widely used in real time machine lubricant oil condition monitoring and fault forecasting. However, the small sensing zone, which is designed for high sensitivity, of the existing sensors leads to low throughput.
Sen Wu +6 more
doaj +1 more source
IEEE Access, 2021 There are usually non-equilibrium transmission characteristic among the measurement channels of a photoelectric testing system with intersecting detection areas, and it will lead to a poorer measurement result provided that they are not properly ...
Ding Chen, Jinping Ni
doaj +1 more source
Multichannel vectorial holographic display and encryption [PDF]
Light: Science & Applications, 2018 Since its invention, holography has emerged as a powerful tool to fully reconstruct the wavefronts of light including all the fundamental properties (amplitude, phase, polarization, wave vector, and frequency).
Ruizhe Zhao +8 more
semanticscholar +1 more source
DeCoT: A Dependable Concurrent Transmission-Based Protocol for Wireless Sensor Networks
IEEE Access, 2018 Concurrent transmission (CT)-based wireless sensor networks, where nodes transmit at the same moment upon receiving successfully, begin to be applied to real-world scenarios.
Xiaoyuan Ma +5 more
doaj +1 more source