Domain knowledge-assisted multi-objective evolutionary algorithm for channel selection in brain-computer interface systems [PDF]
Frontiers in Neuroscience, 2023 BackgroundFor non-invasive brain-computer interface systems (BCIs) with multiple electroencephalogram (EEG) channels, the key factor limiting their convenient application in the real world is how to perform reasonable channel selection while ensuring ...
Tianyu Liu, An Ye
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Evolutionary Multitasking-Based Multiobjective Optimization Algorithm for Channel Selection in Hybrid Brain Computer Interfacing Systems [PDF]
Frontiers in Neuroscience, 2021 Hybrid-modality brain-computer Interfaces (BCIs), which combine motor imagery (MI) bio-signals and steady-state visual evoked potentials (SSVEPs), has attracted wide attention in the research field of neural engineering.
Tianyu Liu +3 more
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Customer's Channel Selection Behavior on Purchasing Standardized and Customized Products: Optimized Prices and Channel Performances [PDF]
Frontiers in Psychology, 2022 Nowadays, the traditional production is unable to meet the new diverse needs of target customers. In the current customization era, more and more companies are required by customers to provide more desirable customized products.
Bisheng Du +6 more
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A learnable EEG channel selection method for MI-BCI using efficient channel attention [PDF]
Frontiers in Neuroscience, 2023 IntroductionDuring electroencephalography (EEG)-based motor imagery-brain-computer interfaces (MI-BCIs) task, a large number of electrodes are commonly used, and consume much computational resources. Therefore, channel selection is crucial while ensuring
Lina Tong +5 more
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A Novel Multi-Scale Entropy Approach for EEG-Based Lie Detection with Channel Selection [PDF]
EntropyEntropy-based analyses have emerged as a powerful tool for quantifying the complexity, regularity, and information content of complex biological signals, such as electroencephalography (EEG).
Jiawen Li +9 more
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Investigation of Channel Selection for Gesture Classification for Prosthesis Control Using Force Myography: A Case Study [PDF]
Frontiers in Bioengineering and Biotechnology, 2019 Background: Various human machine interfaces (HMIs) are used to control prostheses, such as robotic hands. One of the promising HMIs is Force Myography (FMG).
Chakaveh Ahmadizadeh +2 more
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Multi-Scale Feature and Multi-Channel Selection toward Parkinson’s Disease Diagnosis with EEG [PDF]
SensorsObjective: Motivated by Health Care 4.0, this study aims to reducing the dimensionality of traditional EEG features based on manual extracted features, including statistical features in the time and frequency domains.
Haoyu Wu +5 more
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Two-stage sparse multi-objective evolutionary algorithm for channel selection optimization in BCIs [PDF]
Frontiers in Human NeuroscienceBackgroundChannel selection has become the pivotal issue affecting the widespread application of non-invasive brain-computer interface systems in the real world.
Tianyu Liu +4 more
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CHANNEL ALLOCATION FOR WIRELESS NETWORKS BASED ON INTELLIGENT METHOD [PDF]
Acta Electrotechnica et Informatica, 2021 In this paper, will be presented actual research of the intelligent channel allocation. The intelligent channel allocation is based on combination of fuzzy logic method and game theory attributes to increase quality of link in network.
Dominik NEZNÍK, Ľubomír DOBOŠ
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A game-theoretic approach to select a channel for supplying required materials in producing a product manufactured from recyclables [PDF]
تصمیم گیری و تحقیق در عملیات, 2023 Purpose: In this research, a recyclable waste is used to manufacture a specific product. For this reason, a supply chain is considered containing manufacturer, recycler, and waste warehouse.
Hamed Jafari
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