48 Result(s)
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Article
Dual-stream framework for image-based heart infarction detection using convolutional neural networks
Heart infarction has become one of the major causes of global death in recent decades. As the aging society intensifies, many elderly people living alone are facing life-threatening situations brought on by su...
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Article
Hyperspectral classification employing spatial–spectral low rank representation in hidden fields
This paper presents a novel classification method based on spatial–spectral low-rank representation in the hidden field under a Bayesian framework for hyperspectral imagery. The key idea of the method is to si...
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Article
Open AccessAspect-level multimodal sentiment analysis based on co-attention fusion
Aspect-level multimodal sentiment analysis is the fine-grained sentiment analysis task of predicting the sentiment polarity of given aspects in multimodal data. Most existing multimodal sentiment analysis appr...
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Chapter and Conference Paper
Text-Oriented Modality Reinforcement Network for Multimodal Sentiment Analysis from Unaligned Multimodal Sequences
Multimodal Sentiment Analysis (MSA) aims to mine sentiment information from text, visual, and acoustic modalities. Previous works have focused on representation learning and feature fusion strategies. However,...
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Chapter and Conference Paper
Learning an Adaptive Self-expressive Fusion Model for Multi-omics Cancer Subtype Prediction
The discovery of cancer subtypes has helped researchers gain deeper insights into the study of oncology heterogeneity. However, since cancer complexity exists at various omics levels, extracting and fusing com...
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Chapter and Conference Paper
Co-attention Guided Local-Global Feature Fusion for Aspect-Level Multimodal Sentiment Analysis
Aspect-level multimodal sentiment analysis is a target oriented fine-grained sentiment analysis task aimed at determining the sentiment polarity of a given aspect of a sentence in conjunction with relevant mul...
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Article
A novel gated dual convolutional neural network model with autoregressive method and attention mechanism for probabilistic load forecasting
Accurate load forecasting is prime in the electric power industry, while the complexity and variability of the load data make it a challenging problem. Therefore, the probabilistic load forecasting is used to ...
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Article
Improved fuzzy evidential DEMATEL method based on two-dimensional correlation coefficient and negation evidence
The Decision-making Trial and Evaluation Laboratory (DEMATEL) has widespread application in many fields as a system analysis method to explain the relationship between the risk factors in a system. By analyzin...
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Article
Open AccessA method for evaluating the learning concentration in head-mounted virtual reality interaction
In education, learning concentration is closely related to the quality of learning, and teachers can adjust their teaching methods accordingly to improve the learning outcomes of students. Particularly in head...
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Article
RETRACTED ARTICLE: Optimization effect of ecological restoration based on high-resolution remote sensing images in the ecological construction of soil and water conservation
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Article
A universal emotion recognition method based on feature priority evaluation and classifier reinforcement
Emotions play an indispensable role in human behaviors, and interaction based on emotion perception is attracting more attention. A method based on feature priority evaluation and classifier reinforcement is p...
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Chapter and Conference Paper
Human-Object Interaction Detection: A Survey of Deep Learning-Based Methods
In recent years, rapid progress has been made in detecting and identifying single object instances. In order to understand the situation in the scene, computers need to recognize how humans interact with surro...
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Chapter and Conference Paper
Research on Key Technology of Electro Mechanical Brake for Ultra Deep Mine Hoist
Electro mechanical braking technology is an effective way to improve the braking response of mine hoist. Based on the analysis of the disc brake of mine hoist, the mechanical structure model of the brake is es...
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Chapter and Conference Paper
Attention-Based Dynamic Graph CNN for Point Cloud Classification
In this paper, we propose an attention-based dynamic graph CNN method for point cloud classification. We introduce an efficient channel attention module into each edge convolution block of dynamic graph CNN (D...
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Chapter and Conference Paper
3D Face Cartoonizer: Generating Personalized 3D Cartoon Faces from 2D Real Photos with a Hybrid Dataset
Cartoon face is a prevalent kind of stylized face, which is widely used in movies, TVs and advertisements. Although plenty of methods have been proposed to generate 2D cartoon faces, it is still challenging to...
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Chapter and Conference Paper
Continuous Weighted Neural Cognitive Diagnosis Method for Online Education
With the rapid development of online education, extensive data records from online education are accumulated in large quantities, therefore the educational evaluation industry is of great potential. Cognitive ...
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Chapter and Conference Paper
Concept Relative Attention Based Deep Knowledge Tracing
Most of the knowledge tracing models only output the student’s next answer. This can only let us know whether a student answered questions correctly, rather than students’ mastery of the knowledge concept. Suc...
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Chapter and Conference Paper
Cascade Scale-Aware Distillation Network for Lightweight Remote Sensing Image Super-Resolution
Recently, convolution neural network based methods have dominated the remote sensing image super-resolution (RSISR). However, most of them own complex network structures and a large number of network parameter...
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Chapter and Conference Paper
Device for Super Capacitor Constant Power Charging
This design is aimed at the research of super capacitor module charging. It adopts wireless charging mode and electromagnetic induction principle to transmit electric energy through coil magnetic coupling reso...
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Chapter and Conference Paper
LF-MAGNet: Learning Mutual Attention Guidance of Sub-Aperture Images for Light Field Image Super-Resolution
Many light field image super-resolution networks are proposed to directly aggregate the features of different low-resolution sub-aperture images (SAIs) to reconstruct high-resolution sub-aperture images. Howev...
