34,437 Result(s)
within
Chapter
Qi** Li
Computer Science
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Chapter and Conference Paper
Emphasizing Boundary-Positioning and Leveraging Multi-scale Feature Fusion for Camouflaged Object Detection
Camouflaged object detection (COD) aims to identify objects that blend in with their surroundings and have numerous practical applications. However, COD is a challenging task due to the high similarity between...
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Chapter and Conference Paper
Analysis of Significant Cell Differences Between Cancer Patients and Healthy Individuals
At the end of 2019, a global outbreak of a new coronavirus ravaged the world, and to this day, many people’s bodies are still deeply affected by the virus. In order to find out if there is a correlation betwee...
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Chapter and Conference Paper
Design on Experimental Dataset and Task for Teaching in Data Science and Machine Learning
One of the key factor in teaching data science and machine learning is the well-prepared dataset.
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Chapter and Conference Paper
Research on Intelligent Manufacturing Training System Based on Industrial Metaverse
Skilled human resource becomes an essential resource for implementing intelligent manufacturing in the new era, prompting high demands on Intelligent Manufacturing Training (IMT). Empowering the effective IMT,...
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Chapter and Conference Paper
Empowering Work-Life Harmony: Introducing a Porsche-Inspired Voice Digital Assistants Tailored for Women
With the rapid increase in the personalized demands for in-car voice assistants in the Generation Z era, innovation in digital assistants (DA) becomes crucial to better meet the growing needs of human-vehicle ...
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Chapter and Conference Paper
Towards Efficient Universal Adversarial Attack on Audio Classification Models: A Two-Step Method
Audio classification models have witnessed remarkable progress in the past few years. As a counterpart, such models are also vulnerable to adversarial attacks by examples with indistinguishable perturbations t...
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Chapter and Conference Paper
KGCN-DDA: A Knowledge Graph Based GCN Method for Drug-Disease Association Prediction
Exploring the potential efficacy of a drug is a valid approach for drug discovery with shorter development times and lower costs. Recently, several computational drug repositioning methods have been introduced...
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Chapter and Conference Paper
KDED: A Knowledge Distillation Based Edge Detector
Deep learning-based edge detectors are successful due to the large amount of supervisory information provided by manual labeling. However, there are inevitably errors in the manually labeled supervisory inform...
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Chapter and Conference Paper
Multimodal Rumor Detection by Using Additive Angular Margin with Class-Aware Attention for Hard Samples
Currently, several factors limit the practicality of multimodal rumor detection (MRD). These include incomplete feature fusion in multimodal data, the weak discriminative power in the softmax-based loss, and t...
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Chapter and Conference Paper
Multi-agent Perception via Co-attentive Communication Mechanism
Multi-agent collaborative perception has the potential to significantly enhance perception performance by facilitating the exchange of complementary information among agents through communication. Effective co...
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Chapter
A Brief Introduction
In this chapter, we first introduce the background regarding Mobile Crowdsensing (MCS) and present an overview of MCS. Then, we specifically state the incentive mechanism design problem for MCS. Finally, we de...
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Chapter and Conference Paper
M \(^2\) Sim: A Long-Term Interactive Driving Simulator
Simulation now plays an important role in the development of autonomous driving algorithms as it can significantly reduce the economical cost and ethical risk of real-world testing. However, building a high-qu...
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Chapter and Conference Paper
Blockchain and OR Based Data Sharing Solution for Internet of Things
Communication between nodes in the Internet of Things (IoT) is still in its infancy, and several contemporary security dangers and issues are impeding data transmission in this process. In this research, we in...
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Chapter and Conference Paper
Deep Recognition of Chinese Herbal Medicines Based on a Caputo Fractional Order Convolutional Neural Network
Chinese herbal medicines are the treasure of Chinese traditional medicine, which contains active ingredients that have significant therapeutic effects for many diseases. To solve the fluctuation and inefficien...
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Chapter and Conference Paper
Channel Allocation Scheme Based on NSGA-II for Frequency-Division-Multiplexing UHF RFID System
With the proposal and development of the internet of things (IoT), the ultra-high frequency (UHF) passive radio frequency identification (RFID) system based on backscatter communication technology has become o...
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Chapter
Conclusions and Future Directions
This chapter provides the concluding remarks of this book. The advancements of 5G edge computing from both industry and academia are first summarized, including the measurement results of a public edge platfor...
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Chapter and Conference Paper
PiDiNeXt: An Efficient Edge Detector Based on Parallel Pixel Difference Networks
The Pixel Difference Network (PiDiNet) is well-known for its success in edge detection. Combining traditional operators with deep learning, PiDiNet achieves competitive results with fewer parameters. However, ...
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Chapter and Conference Paper
Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain
In this preliminary work, we present a domain fine-tuned LLM model for radiology, an experimental large language model adapted for radiology. This model, created through an exploratory application of instructi...
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Chapter and Conference Paper
Highlight Removal from a Single Image Based on a Prior Knowledge Guided Unsupervised CycleGAN
Highlights widely exist in many objects, such as the optical images of high-gloss leather, glass, plastic, metal parts, and other mirror-reflective objects. It is difficult to directly apply optical measuremen...
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Chapter and Conference Paper
AIFR: Face Recognition Research Based on Age Factor Characteristics
As we all know, the facial appearance change caused by age change leads to the low accuracy of face recognition, which is a significant difficulty in cross-age face recognition tasks. How to overcome the age p...
