Results 31 to 40 of about 4,404,768 (300)
Mathematical approach for rapid determination of pull-in displacement in MEMS devices
Frontiers in PhysicsIntroductionMicroelectromechanical systems (MEMS) are pivotal in diverse fields such as telecommunications, healthcare, and aerospace. A critical challenge in MEMS devices is accurately determining the pull-in displacement and voltage, which ...
Yongcun Shao, Yutong Cui
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Tomato Disease Classification and Identification Method Based on Multimodal Fusion Deep Learning
Agriculture, 2022 Considering that the occurrence and spread of diseases are closely related to the planting environment, a tomato disease diagnosis method based on Multi-ResNet34 multi-modal fusion learning based on residual learning is proposed for the problem of ...
Ning Zhang +4 more
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DFMKE: A dual fusion multi-modal knowledge graph embedding framework for entity alignment
, 2023 Entity alignment is critical for multiple knowledge graphs (KGs) integration. Although researchers have made significant efforts to explore the relational embeddings between different KGs, existing approaches may not describe multi-modal knowledge well ...
De Meo P., Zhu J., Huang C.
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NeuroImageAlzheimer’s disease (AD) is a progressive neurodegenerative disorder that disrupts cognitive function across multiple domains, particularly affecting language networks and speech production pathways in the brain.
Jianhui Lv +3 more
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Equivariant Multi-Modality Image Fusion
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Multi-modality image fusion is a technique that combines information from different sensors or modalities, enabling the fused image to retain complementary features from each modality, such as functional highlights and texture details. However, effective training of such fusion models is challenging due to the scarcity of ground truth fusion data.
Zixiang Zhao +8 more
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Mathematics, 2023 In driverless systems (scenarios such as subways, buses, trucks, etc.), multi-modal data fusion, such as light detection and ranging (LiDAR) points and camera images, is essential for accurate 3D object detection.
Zheng Zhang, Ruyu Xu, Qing Tian
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Multi-modal Medical Volumes Fusion by Surface Matching [PDF]
ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359), 1999 Presents a fast, six degrees of freedom, registration technique to accurately locate the position and orientation of medical volumes (e.g. CT, MRI) with respect to each other for the same patient. The technique uses surface registration and maximization of mutual information.
Ayman M. Eldeib +2 more
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Attention Driven Fusion for Multi-Modal Emotion Recognition [PDF]
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 An updated version of the ICASSP 2020 ...
Darshana Priyasad +4 more
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An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes
FEBS Letters, EarlyView.GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg +14 more
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Multi-modal biometric authentication system using score fusion techniques [PDF]
Biometric as an advanced access control method, however, the security can be enhanced through combination of more than one biometric element into one system.
Wan Mohd Ghazali, Khadijah +4 more
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