1,513 Result(s)
within
English
Artificial Intelligence
Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
**g WANG
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Chapter and Conference Paper
Spline-Based Dense Medial Descriptors for Image Simplification Using Saliency Maps
Medial descriptors have attracted increasing interest in image representation, simplification, and compression. Recently, such descriptors have been separately used to (a) increase the local quality of represe...
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Chapter and Conference Paper
Quantum Entanglement Inspired Correlation Learning for Classification
Correlation is an important information resource, which is often used as a fundamental quantity for modeling tasks in machine learning. Since correlation between quantum entangled systems often surpasses that ...
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Chapter and Conference Paper
Metaverse and Human-Computer Interaction: A Technology Framework for 3D Virtual Worlds
Metaverse is posed to change the world and revolutionalize the way we work, play, and socialize with one another. In recent years, both capital circles and large technology companies have started to pay attent...
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Chapter and Conference Paper
Research on Size System of Disposable PE Gloves Based on Hand Contour Measurement
Disposable PE gloves are in great demand in the catering industry, and although their use accuracy is not high, disposable PE gloves of inconsistent size will still cause great discomfort to consumers. Therefo...
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Chapter and Conference Paper
A Multi-level Mixed Perception Network for Hyperspectral Image Classification
Objects in hyperspectral images (HSI) exist many subtle information differences, thus multi-level spectral-spatial perception will be beneficial to discriminative feature learning for HSI. We propose a multi-l...
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Chapter and Conference Paper
Exploring the Emotional Differences Between Over-Ear Headphones Made of Different Materials
As technology advances and the use of devices such as cell phones and tablets increases, related wearable devices are becoming increasingly popular, with wireless Bluetooth headsets being the most prominent in...
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Chapter and Conference Paper
Exploring the Role of Culture-Centric Design Guidelines in the Design of mHealth Application for Senior Informal Caregivers: Lessons Learned in a Field Study
Mobile health (mHealth) applications help reduce the burden of informal caregivers. However, limited mHealth applications are fully adopted by informal caregivers. Research has suggested that cultural tendency...
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Chapter and Conference Paper
Background Augmentation with Transformer-Based Autoencoder for Hyperspectral Anomaly Detection
Aiming at handling the problem caused by the lack of prior spectral knowledge of anomalous pixels for hyperspectral anomaly detection (HAD). In this paper, we propose a background augmentation with transformer...
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Chapter and Conference Paper
Effects of Microblog Comments on Chinese User's Sentiment with COVID-19 Epidemic Topics
Social media is one of the most significant sources of information in modern people’s life. Due to the large quantity of user base and public opinions, when people read a blog post, the different tendencies of...
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Chapter and Conference Paper
SAR Scene Classification Based on Self-supervised Jigsaw Puzzles
Scene classification is a hot issue in the field of SAR image interpretation. Many SAR image interpretation tasks can be promoted with the development of highly credible scene classification methods. But the f...
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Chapter and Conference Paper
Relay-UNet: Reduce Semantic Gap for Glomerular Image Segmentation
With the increasing number of patients with chronic kidney disease (CDK), the workload of pathologists is heavy and the diagnostic efficiency is low. Therefore, the use of computer technology to assist the dia...
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Chapter and Conference Paper
An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification
Deep neural networks currently achieve state-of-the-art performance in many multivariate time series classification (MTSC) tasks, which are crucial for various real-world applications. However, the black-box c...
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Chapter and Conference Paper
SR-YOLO: Small Objects Detection Based on Super Resolution
Since the introduction of convolutional neural networks, object detection based on deep learning has made great progress and has been widely used in the industry. However, because the weak and small object con...
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Chapter and Conference Paper
Molecular Activity Prediction Based on Graph Attention Network
Spatial convolutional models of Graph Neural Networks (GNNs) updates embeddings of nodes by the neighborhood aggregation, it has obvious advantages in reducing time complexity and improving accuracy. Therefore...
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Chapter and Conference Paper
Human-Autonomous Teaming Framework Based on Trust Modelling
With the development of intelligent technology, autonomous agents are no longer just simple tools; they have gradually become our partners. This paper presents a trust-based human-autonomous teaming (HAT) fram...
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Chapter and Conference Paper
An Adaptive Spatial Network for UAV Image Real-Time Semantic Segmentation
Unmanned aerial vehicle (UAV) aerial image interpretation plays an important role in the military and civilian files. The latest semantic segmentation methods are based on deep learning with different structur...
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Chapter and Conference Paper
Correction to: Weakly Supervised Whole Cardiac Segmentation via Attentional CNN
In the originally published version of chapter 9, by error, the author **ye Peng had been assigned affiliation no. “3” instead of “2”. This has been corrected.
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Chapter and Conference Paper
Investigation on Research Model of Product Design Integrated with Big Data Technology
Design research is an important part of design and the basis of product development. With the Internet entering web 2.0 age, collecting user feedback on the network platform has become an important channel for...
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Chapter and Conference Paper
Fast Node Selection of Networked Radar Based on Transfer Reinforcement Learning
The networked radar system can synthesize different echo signals received by various radars and realize the cooperative detection of multiple radars, becoming more and more critical for data fusion sharing and...
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Chapter and Conference Paper
TTS-GAN: A Transformer-Based Time-Series Generative Adversarial Network
Signal measurements appearing in the form of time series are one of the most common types of data used in medical machine learning applications. However, such datasets are often small, making the training of d...
