Results 11 to 20 of about 172,332 (339)

Twenty-Five Years of Sensor Array and Multichannel Signal Processing: A review of progress to date and potential research directions

open access: yesIEEE Signal Processing Magazine, 2023
In this article, a general introduction to the area of sensor array and multichannel signal processing is provided, including associated activities of the IEEE Signal Processing Society (SPS) Sensor Array and Multichannel (SAM) Technical Committee (TC ...
Wei Liu   +4 more
semanticscholar   +1 more source

Ventricular tachyarrhythmia treatment and prevention by subthreshold stimulation with stretchable epicardial multichannel electrode array

open access: yesScience Advances, 2023
The implantable cardioverter-defibrillator (ICD) is an effective method to prevent sudden cardiac death in high-risk patients. However, the transvenous lead is incompatible with large-area electrophysiological mapping and cannot accommodate selective ...
Sung‐Hyuk Sunwoo   +17 more
semanticscholar   +1 more source

The Future of E-Commerce: Overview and Prospects of Multichannel and Omnichannel Retail

open access: yesJournal of Theoretical and Applied Electronic Commerce Research, 2023
Multichannel and omnichannel strategies have become a critical aspect of retailing. In this study, we present an overview of multichannel and omnichannel retail and discuss its applications in the future of retail.
Santiago Iglesías-Pradas   +1 more
semanticscholar   +1 more source

A New Multichannel Microphone Technique for Effective Perspective Control [PDF]

open access: yes, 2011
This paper introduces a new multichannel microphone technique that was designed to produce multiple listener perspectives. A listener perspective paradigm and the related spatial attributes are also proposed for the evaluation of spatial quality in ...
Lee, Hyunkook
core   +3 more sources

A Multichannel CNN-GRU Model for Human Activity Recognition

open access: yesIEEE Access, 2022
Human activity recognition (HAR) is one of the important research areas in pervasive computing. Among HAR, sensor-based activity recognition refers to acquiring a high-level knowledge about human activities from readings of many low-level sensors.
Li-Meng Lu   +4 more
semanticscholar   +1 more source

A new wearable multichannel magnetocardiogram system with a SERF atomic magnetometer array

open access: yesScientific Reports, 2021
In this study, a wearable multichannel human magnetocardiogram (MCG) system based on a spin exchange relaxation-free regime (SERF) magnetometer array is developed.
Yanfei Yang   +6 more
semanticscholar   +1 more source

A multichannel optical computing architecture for advanced machine vision

open access: yesLight: Science & Applications, 2022
Endowed with the superior computing speed and energy efficiency, optical neural networks (ONNs) have attracted ever-growing attention in recent years. Existing optical computing architectures are mainly single-channel due to the lack of advanced optical ...
Zhihao Xu   +3 more
semanticscholar   +1 more source

Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks [PDF]

open access: yesIEEE Transactions on Cognitive Communications and Networking, 2018
We consider a dynamic multichannel access problem, where multiple correlated channels follow an unknown joint Markov model and users select the channel to transmit data.
Shangxing Wang   +3 more
semanticscholar   +1 more source

Type-printable photodetector arrays for multichannel meta-infrared imaging [PDF]

open access: yesNature Communications, 2021
Multichannel meta-imaging, inspired by the parallel-processing capability of neuromorphic computing, offers considerable advancements in resolution enhancement and edge discrimination in imaging systems, extending even into the mid- to far-infrared ...
Jun-Xiong Guo   +15 more
semanticscholar   +1 more source

SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals

open access: yesIEEE Transactions on Affective Computing, 2021
Emotion recognition from EEG signals has attracted much attention in affective computing. Recently, a novel dynamic graph convolutional neural network (DGCNN) model was proposed, which simultaneously optimized the network parameters and a weighted graph $
Guanhua Zhang   +5 more
semanticscholar   +1 more source

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