Results 21 to 30 of about 3,839,669 (256)
Multi-modal sensor networks for more effective sensing in Irish coastal and freshwater environments [PDF]
, 2012 The world’s oceans represent a vital resource to global economies and there exists huge economic opportunity that remains unexploited. However along with this huge potential there rests a responsibility into understanding the effects various ...
O\u27Connor, Edel +10 more
core +3 more sources
Multi-modal benchmark functions.
, 2021 Multi-modal benchmark functions.
Yourui Huang (11797980) +5 more
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Multi-modal Emotion Recognition Based on Dynamic Convolution and Residual Gating [PDF]
Jisuanji gongcheng, 2023 To prevent important information containing emotional cues from being obscured by irrelevant information in discourse and to achieve multi-modal information interaction, a multi-modal emotion recognition model based on dynamic convolution and residual ...
Yanxia GUO, Yong JIN, Hong TANG, Jinzhi PENG
doaj +1 more source
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 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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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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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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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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Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management
, 2023 The misinformation detection systems are increasingly important in E-commerce management, which detect misinformation on the commodity display page. Misinformation in E-commerce is usually presented as a mismatch between multi-modal information, the ...
Zhao Li +11 more
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