Results 11 to 20 of about 256,814 (289)
A multi-modal event detection system for river and coastal marine monitoring applications [PDF]
, 2011 —This work is investigating the use of a multi-modal sensor network where visual sensors such as cameras and satellite imagers, along with context information can be used to complement and enhance the usefulness of a traditional in-situ sensor network ...
O'Connor, Edel +2 more
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Multi-Modal Residual Perceptron Network for Audio–Video Emotion Recognition
Sensors, 2021 Emotion recognition is an important research field for human–computer interaction. Audio–video emotion recognition is now attacked with deep neural network modeling tools.
Xin Chang, Władysław Skarbek
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Multi‐modal object detection via transformer network
IET Image Processing, 2023 According to the fact that single‐modal data usually contain limited information, a great deal of effort has been devoted to making use of the complementary information contained in the multi‐modal data on various patterns.
Wenbing Liu +3 more
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Deep Multi-Semantic Fusion-Based Cross-Modal Hashing
Mathematics, 2022 Due to the low costs of its storage and search, the cross-modal retrieval hashing method has received much research interest in the big data era. Due to the application of deep learning, the cross-modal representation capabilities have risen markedly ...
Xinghui Zhu +3 more
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Multi-modal joint embedding for fashion product retrieval [PDF]
, 2017 © 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Moreno-Noguer, Francesc +3 more
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Capillary-Inserted Rotor Design for HRµMAS NMR-Based Metabolomics on Mass-Limited Neurospheres
Molecules, 2017 Nuclear magnetic resonance (NMR) spectroscopy is a powerful analytical technique and has been widely used in metabolomics. However, the intrinsic low sensitivity of NMR prevents its applications to systems with limited sample availabilities.
Nghia Tuan Duong +7 more
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Multi‐modal broad learning for material recognition
Cognitive Computation and Systems, 2021 Material recognition plays an important role in the interaction between robots and the external environment. For example, household service robots need to replace humans in the home environment to complete housework, so they need to interact with daily ...
Zhaoxin Wang +3 more
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Informal Logic, 2022 My essay, “Multi-modal argumentation” was published in the journal, Philosophy of the Social Sciences, in 1994. This information appeared again in my book, Coalescent argumentation in 1997. In the ensuing twenty years, there have been many changes in argumentation theory, and I would like to take this opportunity to examine my now middle-aged theory in
openaire +4 more sources
Adaptive physics-informed neural networks for underwater acoustic field predictiona) [PDF]
JASA Express LettersThis paper introduces an adaptive physics-informed neural network for predicting underwater pressure fields. A gradient-based adaptive weighting method is proposed to address the imbalance between physics-constrained and data-fidelity terms, effectively ...
Zhengyi Li, Ting Zhang, Lei Cheng
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Progressively Hybrid Transformer for Multi-Modal Vehicle Re-Identification
Sensors, 2023 Multi-modal (i.e., visible, near-infrared, and thermal-infrared) vehicle re-identification has good potential to search vehicles of interest in low illumination.
Wenjie Pan +4 more
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