218 Result(s)
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Chapter and Conference Paper
Image Blending Algorithm with Automatic Mask Generation
In recent years, image blending has gained popularity for its ability to create visually stunning content. However, the current image blending algorithms mainly have the following problems: manually creating i...
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Chapter and Conference Paper
Automatic Search of Linear Structure: Applications to Keccak and Ascon
The linear structure technique was developed by Guo et al. at ASIACRYPT 2016, notably boosting the preimage attacks on Keccak. This technique transforming the preimage attack into solving algebraic systems allows...
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Chapter and Conference Paper
Design and Development of Digital Circuit Simulation Software Based on Virtual Reality Technology
In order to improve teachers’ teaching efficiency, stimulate students’ interest in learning, increase students’ initiative and consciousness of learning, break through the limitation of physical environment co...
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Chapter and Conference Paper
DFaP: Data Filtering and Purification Against Backdoor Attacks
The rapid development of deep learning has led to a dramatic increase in user demand for training data. As a result, users are often compelled to acquire data from unsecured external sources through automated ...
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Chapter and Conference Paper
Spatial Feature Regularization and Label Decoupling Based Cross-Subject Motor Imagery EEG Decoding
Motor imagery (MI) serves as a vital approach to constructing brain-computer interfaces (BCIs) based on electroencephalogram (EEG) signals. However, the time-variant and label-coupling characteristics of EEG s...
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Chapter and Conference Paper
An Erase Code Based Collaborative Storage Method in RFID Systems
Ensuring the safe and reliable storage of important data under limited storage resources is an important challenge faced by RFID systems. Cooperative storage technology based on network coding can divide the t...
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Chapter and Conference Paper
End-to-End Streaming Customizable Keyword Spotting Based on Text-Adaptive Neural Search
Streaming keyword spotting (KWS) is an important technique for voice assistant wake-up. While KWS with a preset fixed keyword has been well studied, test-time customizable keyword spotting in streaming mode re...
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Chapter and Conference Paper
Efficient Point-Based Single Scale 3D Object Detection from Traffic Scenes
In the field of 3D object detection, the point-based method faces significant limitations due to the need to process large-scale collections of irregular point clouds, resulting in reduced inference speed. To ...
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Chapter and Conference Paper
A PUF Based Audio Fingerprint Based for Device Authentication and Tamper Location
As bioinformation authentication gains prominence, the significance of audio data in industries such as speech recognition intensifies, with audio storage becoming a pivotal concern for data protection. Existi...
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Chapter and Conference Paper
3RE-Net: Joint Loss-REcovery and Super-REsolution Neural Network for REal-Time Video
Real-time video over the Internet suffers from packet loss and low network bandwidth. The receiving side may receive down-sampled video with damaged frames. In this work, we are motivated to enhance the qualit...
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Chapter and Conference Paper
Evaluating the Security of CRYSTALS-Dilithium in the Quantum Random Oracle Model
In the wake of recent progress on quantum computing hardware, the National Institute of Standards and Technology (NIST) is standardizing cryptographic protocols that are resistant to attacks by quantum adversa...
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Chapter and Conference Paper
Adversarial Learning Enhanced Social Interest Diffusion Model for Recommendation
With the rapid development of recommendation system, various side information has been utilized to remedy data sparsity and cold start problem. Social recommendation performs by modeling social information whi...
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Chapter and Conference Paper
Preliminary Experiment for Measuring the Anxiety Level Using Heart Rate Variability
Anxiety is one of the most significant health issues. Generally, there are four levels of anxiety: mild anxiety, moderate anxiety, severe anxiety, and panic level anxiety
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Chapter and Conference Paper
Research on Complex Financial Ecosystem Modeling and Traceability Analysis Based on Heterogeneous Graph Attention Networks
This paper proposes a complex financial ecosystem construction model based on heterogeneous graphical attention networks, which is based on the textual features as well as attribute features of each financial ...
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Chapter and Conference Paper
Design of Financial Modeling System Based on Decision Tree Analysis
The design of financial modeling system is based on decision tree analysis. The main objective of this analysis is to determine the best portfolio of investors and choose the best investment strategy. The proc...
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Chapter and Conference Paper
Towards High Transferability on Neural Network for Black-Box Adversarial Attacks
Adversarial examples are one of the biggest potential risks faced by the modern neural networks, threatening the application with high sensitiveness. To improve the efficiency of black-box attacks, and eventua...
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Chapter and Conference Paper
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
Video super-resolution is one of the most popular tasks on mobile devices, being widely used for an automatic improvement of low-bitrate and low-resolution video streams. While numerous solutions have been pro...
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Chapter and Conference Paper
A Noise Convolution Network for Tampering Detection
The vulnerability of digital images to tampering is an ongoing information security issue in the multimedia field. Thus, identifying tampered digital images and locating the tampered regions in the images can ...
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Chapter and Conference Paper
Steering Control Method of Mobile Forklift Based on Sensing Signal
Because the steering control method of the mobile forklift has the problem of large steering deviation, a steering control method of the mobile forklift based on sensing signal is designed. Using the yaw rate ...
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Chapter and Conference Paper
One Case of THOUGHT: Industry-University Converged Education Practice on Open Source
Nowadays, more and more data are produced in our life. The rapid development of big data and intelligent computing industry has put forward new demands for talents, while colleges and universities with limited...