2,872 Result(s)
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Chapter and Conference Paper
Staged Transformer Network with Color Harmonization for Image Outpainting
Image outpainting aims at generating new looking-realistic content beyond the original boundaries for a given image patch. Existing image outpainting methods tend to generate images with erroneous structures a...
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Chapter and Conference Paper
Efficient Semantic-Guidance High-Resolution Video Matting
Video matting has made significant progress in trimap-based field. However, researchers are increasingly interested in auxiliary-free matting because it is more useful in real-world applications. We propose a ...
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Chapter and Conference Paper
IoT Botnet Attacks Detection and Classification Based on Ensemble Learning
With the vigorous development of the IoT, botnet attacks against the IoT have become more frequent and diverse, and the research on attack prevention and detection has become more difficult. This paper propose...
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Chapter and Conference Paper
Infrared and Visible Image Fusion via Test-Time Training
Infrared and visible image fusion (IVIF) is a widely used technique in instrument-related fields. It aims at extracting contrast information from the infrared image and texture details from the visible image a...
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Chapter and Conference Paper
Prediction and Analysis of Multiple Causes of Mental Health Problems Based on Machine Learning
To prevent other types of mental health problems from being misclassified as depression, as well as to remedy the problem of inadequate resources for mental health consultations. This study first analyzes the ...
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Chapter and Conference Paper
DP-INNet: Dual-Path Implicit Neural Network for Spatial and Spectral Features Fusion in Pan-Sharpening
Pan-sharpening is a technique that fuses a high-resolution panchromatic (PAN) image with its corresponding low-resolution multispectral (MS) image to create a high-resolution multispectral image. Due to the po...
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Chapter and Conference Paper
IoT Malicious Traffic Detection Based on Federated Learning
Nowadays, a large number of IoT devices are manufactured and used in daily life. However, the lack of uniform protocols and standards for IoT devices brings many security risks. Malicious attacks on IoT device...
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Chapter and Conference Paper
A Dual−Population Strategy Based Multi−Objective Yin−Yang−Pair Optimization for Cloud Computing
In order to improve the performance of cloud computing, the multi−objective optimization problems in this field need to be solved efficiently. This paper proposes a novel Dual−Population strategy based Multi−O...
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Chapter and Conference Paper
Fast QTMT Decision for H.266/VVC via Jointly Leveraging Neural Network and Machine Learning Models
The latest video coding standard H.266/VVC has significantly improved the compression efficiency compared to its predecessor H.265/HEVC. One of the key technologies in H.266/VVC is the QuadTree with nested Mul...
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Chapter and Conference Paper
Graph-Based Dependency-Aware Non-Intrusive Load Monitoring
Non-intrusive load monitoring (NILM) is able to analyze and predict users’ power consumption behaviors for further improving the power consumption efficiency of the grid. Neural network-based techniques have b...
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Chapter and Conference Paper
Distance Education Platform for Mental Health Courses in Secondary Vocational Schools Based on Cloud Computing
In order to solve the problem of the limited response ability of the remote client terminal of the distance education platform, this study proposed a cloud computation-based distance education platform for sec...
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Chapter and Conference Paper
Action Prediction for Cooperative Exploration in Multi-agent Reinforcement Learning
Multi-agent reinforcement learning methods have shown significant progress, however, they continue to exhibit exploration problems in complex and challenging environments. To address the above issue, current r...
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Chapter and Conference Paper
Privacy-Preserving Blockchain Supervision with Responsibility Tracking
Blockchain technology is a strategic technology to support the development of digital economy, which helps to promote data sharing, improve the efficiency of communication and build a trusted system. With the ...
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Chapter and Conference Paper
Towards Scalable and Secure IoTs Transactions: A New Bi-directional Payment Channel Without Third-Party Monitoring
Blockchain has been extensively deployed in the Internet-of-Things (IoTs) to address the proliferation of IoT devices and ensure secure and scalable transactions. However, conventional blockchain-based payment...
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Chapter and Conference Paper
Learning Scene Graph for Better Cross-Domain Image Captioning
The current image captioning (IC) methods achieve good results within a single domain primarily due to training on a large amount of annotated data. However, the performance of single-domain image captioning m...
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Chapter and Conference Paper
Computing Resource Allocation for Hybrid Applications of Blockchain and Mobile Edge Computing
In mobile edge computing (MEC), each user chooses and then offloads the task to an edge server, whereas data security is a concern in MEC due to the lack of trust between users and edge servers. Blockchain is ...
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Chapter
Face Feature Embedding
A facial feature typically represents the original image in an embedding space, where the distance between embeddings is used to measure face similarity. To implement face verification and recognition at scale...
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Chapter and Conference Paper
Design of Distributed Synchronization Header for Short Burst Communication with Low Earth Orbit Satellites
With the rapid development of low Earth orbit satellite communication technology, achieving efficient communication in multi-user access scenarios has become a highly regarded challenge. The associated frame s...
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Chapter and Conference Paper
A Multi-view Feature Construction and Multi-Encoder-Decoder Transformer Architecture for Time Series Classification
Time series data plays a significant role in many research fields since it can record and disclose the dynamic trends of a phenomenon with a sequence of ordered data points. Time series data is dynamic, of var...
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Chapter and Conference Paper
Semi-supervised Cooperative Learning for Multiomics Data Fusion
Multiomics data fusion integrates diverse data modalities, ranging from transcriptomics to proteomics, to gain a comprehensive understanding of biological systems and enhance predictions on outcomes of interes...
