Results 31 to 40 of about 43,272 (165)
Applied Sciences, 2023 Multimodal emotion classification (MEC) has been extensively studied in human–computer interaction, healthcare, and other domains. Previous MEC research has utilized identical multimodal annotations (IMAs) to train unimodal models, hindering the learning
Lihong Zhang, Chaolong Liu, Nan Jia
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Artificial intelligence-based methods for fusion of electronic health records and imaging data
Scientific Reports, 2022 Healthcare data are inherently multimodal, including electronic health records (EHR), medical images, and multi-omics data. Combining these multimodal data sources contributes to a better understanding of human health and provides optimal personalized ...
Farida Mohsen +3 more
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AdaMoW: Multimodal Sentiment Analysis Based on Adaptive Modality-Specific Weight Fusion Network
IEEE Access, 2023 Multimodal sentiment analysis (MSA) is a crucial task in the field of natural language processing (NLP), with a wide range of applications. This paper proposes an adaptive modality-specific weight fusion network (AdaMoW) to address issues in the process ...
Junling Zhang, Xuemei Wu, Changqin Huang
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A Light-Weighted Fusion Vision Mamba for Multimodal Remote Sensing Data Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingRecent studies have shown that vision Mamba (VMamba) excels in long-sequence modeling capabilities, offering efficient visual representation learning.
Xin He +3 more
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Multimodal Sentiment Analysis Using Multi-tensor Fusion Network with Cross-modal Modeling
Applied Artificial Intelligence, 2022 With the rapid development of social networks, more and more people express their emotions and opinions via online videos. However, most of the current research on multimodal sentiment analysis cannot do well with effective emotional fusion in multimodal
Xueming Yan +3 more
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International Journal of Applied Earth Observations and Geoinformation, 2023 Herbicide-resistant weeds represent a significant challenge to modern agriculture. The need for innovative and sustainable weed management strategies has become increasingly pressing as the threat of herbicide-resistant weeds continues to escalate ...
Fulin Xia +4 more
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Towards Robust Human-Robot Collaborative Manufacturing: Multimodal Fusion
IEEE Access, 2018 Intuitive and robust multimodal robot control is the key toward human–robot collaboration (HRC) for manufacturing systems. Multimodal robot control methods were introduced in previous studies.
Hongyi Liu +3 more
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A Versatile System for Multimodality Image Fusion [PDF]
Computer Aided Surgery, 1995 This paper presents a versatile system for registering and visualizing computed tomography and magnetic resonance images. The system utilizes a semi-automatic, surface-based registration strategy which has proven useful for registering a number of different anatomical structures.
P F, Hemler +4 more
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Optimizing Emotional Insight through Unimodal and Multimodal Long Short-term Memory Models
ARO-The Scientific Journal of Koya UniversityThe field of multimodal emotion recognition is increasingly gaining popularity as a research area. It involves analyzing human emotions across multiple modalities, such as acoustic, visual, and language.
Hemin F. Ibrahim +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe segment anything model (SAM) offers strong feature extraction and segmentation performance for remote sensing. However, for multimodal remote sensing semantic segmentation (MRSSS), SAM suffers from limited adaptation to domain-specific data ...
Shaoliang Deng +4 more
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