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A multichannel location-aware interaction network for visual classification
Fine-grained visual classification aims to identify images that belong to multiple subcategories within the same category. This is a challenging task...
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Multichannel Multimodal Emotion Analysis of Cross-Modal Feedback Interactions Based on Knowledge Graph
Multimodal sentiment analysis is a downstream branch task of sentiment analysis with high attention at present. Previous work in multimodal sentiment...
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PMFNet: A Progressive Multichannel Fusion Network for Multimodal Sentiment Analysis
The core of multimodal sentiment analysis is to find effective encoding and fusion methods to make accurate predictions. However, previous works...
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Multichannel Matrix Randomized Autoencoder
The existing randomized autoencoders are generally designed for vectorization data resulting in destroying the original structure information...
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Predicting drug–drug interactions based on multi-view and multichannel attention deep learning
Predicting drug-drug interactions (DDIs) has become a major concern in the drug research field because it helps explore the pharmacological function...
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Visual-Sensory Information Processing Using Multichannel EEG Signals
Brain-computer interfaces (BCIs) are an application of EEG that is still relatively young but is expanding. BCI is a technology that enables...
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Multichannel Services for Patient Home-Based Care During COVID-19
At the beginning of 2020, the Worldwide Health Organization (WHO) declared a pandemic caused by the COVID-19 virus. In this sense, this article...
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Microwave Multichannel Frequency Division Multiplexing by Defectives Star Waveguides
AbstractA multichannel frequency-division-multiplexing (FDM) system consisting of a one-dimensional photonic star waveguides (SWGs) structure is...
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Dynamic multichannel fusion mechanism based on a graph attention network and BERT for aspect-based sentiment classification
Aspect-based sentiment classification aims to predict the sentiment polarity on given aspect terms in a sentence. Recent works have incorporated...
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EEG emotion recognition using multichannel weighted multiscale permutation entropy
Electroencephalogram (EEG) signal is a time-varying and nonlinear spatial discrete signal, which has been widely used in the field of emotion...
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The role of different levels of multichannel multimodal learning experience delivery in student engagement
This study aimed to explore the pedagogical dimension of multichannel multimodal learning (MML) and its association with student engagement....
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Deep finesse network model with multichannel syntactic and contextual features for target-specific sentiment classification
Target-specific sentiment classification has a dependency over the target term extraction. The majority of current studies in sentiment...
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Optimization of Display Content Switching Under Multiple Large-Screen Displays: A Multi-channel Interaction Usability Evaluation
Large displays offer enhanced information presentation, enriching the immersive interactive experience; however, their physical distance from users...
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Multichannel speech separation using hybrid GOMF and enthalpy-based deep neural networks
Speech signal is commonly debased by room reverberation and included noises in genuine climates. This paper focuses on disengaging objective speech...
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Intelligent Human-Computer Interaction Interface: A Bibliometric Analysis of 2010–2022
Intelligent interfaces play an important role in the harmony and naturalness of human-computer interaction. The purpose of this paper is to...
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A Multiclass EEG Signal Classification Model Using Channel Interaction Maximization and Multivariate Empirical Mode Decomposition
Brain-Computer Interface (BCI) is an emerging technology that facilitates a pathway between the human brain and external devices....
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CCXGB: Centroid-based features enhancement using Convolutional Neural Network combined with XGB classifier for Protein-Protein interaction prediction
The facts allied to the interaction of proteins are crucial due to their significance in numerous biological and cellular activities. With the...
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Cross subject emotion identification from multichannel EEG sub-bands using Tsallis entropy feature and KNN classifier
Human emotion recognition remains a challenging and prominent issue, situated at the convergence of diverse fields, such as brain–computer...
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Depression Detection Using Spatial Images of Multichannel EEG Data
Depression or Major Depressive Disorder (MDD), is a common mental disorder and globally, more than 300 million people of all ages suffer from it....
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Intelligent Transportation Information Interaction Technology
Intelligent transportation refers to a technology of enhancing the connections among vehicles, roads, and the environment by making full use of...