38 Result(s)
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Article
**hai Yu
Computer Science
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Article
A Cellular Automaton Approach for Efficient Computing on Surface Chemical Reaction Networks
A surface chemical reaction network (sCRN, Qian and Winfree in DNA Computing and Molecular Programming: 20th International Conference, DNA 20, Kyoto, Japan, September 22–26, 2014. Proceedings 20. Springer, 201...
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Universality of a surface chemical reaction network using only bi-molecular reactions
In recent years, a novel molecular computation model known as surface chemical reaction network (Qian, In: DNA computing and molecular programming: 20th international conference, DNA 20, Proceedings, 2014) has...
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(k, n) threshold secret image sharing scheme based on Chinese remainder theorem with authenticability
In the traditional secret image sharing (SIS) scheme, the secret image is divided into several noise-like shares, which lack authentication and may attract the attention of malicious users. Therefore, the auth...
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Correction to: Multibranch multilevel federated learning for a better feature extraction and a plug-and-play dynamic-adjusting double flow personalization approach
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DBA-UNet: a double U-shaped boundary attention network for maxillary sinus anatomical structure segmentation in CBCT images
Accurate identification of the maxillary sinus and maxillary sinus septum on cone beam computed tomography (CBCT) is essential for appropriate surgical methods. However, the large-scale gap and the prior knowl...
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Article
Multibranch multilevel federated learning for a better feature extraction and a plug-and-play dynamic-adjusting double flow personalization approach
Federated learning (FL) is an emerging technique used to preserve the privacy of users’ data in training by a distributed machine learning approach. Previously, a client-edge-cloud hierarchical federated learn...
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Open AccessDeep 3D mesh watermarking with self-adaptive robustness
Robust 3D mesh watermarking is a traditional research topic in computer graphics, which provides an efficient solution to the copyright protection for 3D meshes. Traditionally, researchers need manually design wa...
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Co-optimization strategy between array operation and weight map** for flash computing arrays to achieve high computing efficiency and accuracy
In this study, we propose a co-optimization method of array operation and weight map** for flash computing arrays to improve computing efficiency and accuracy. The proposed co-optimization can minimize the r...
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\(\hbox {ABDF}^{2}\) -Net: an adaptive bi-directional features fusion network for real-time detection of threat object
To achieve automatic detection of threat objects for X-ray baggage screening, we propose an adaptive bi-directional features fusion network ( $...
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Certified defense against patch attacks via mask-guided randomized smoothing
The adversarial patch is a practical and effective method that modifies a small region on an image, making DNNs fail to classify. Existing empirical defenses against adversarial patch attacks lack theoretical ...
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Devising optimal integration test orders using cost–benefit analysis
Integration testing is an integral part of software testing. Prior studies have focused on reducing test cost in integration test order generation. However, there are no studies concerning the testing prioriti...
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An ultrahigh-resolution image encryption algorithm using random super-pixel strategy
Almost all existing image encryption algorithms are only suitable for low-resolution images in the standard image library. When they are used to encrypt high-resolution images, they will inevitably suffer from...
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AFTD-Net: real-time anchor-free detection network of threat objects for X-ray baggage screening
X-ray baggage screening is a vitally important task to detect all kinds of threat objects at controlled access positions, which can prevent crime and guard personal safety. It is generally performed by screene...
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An automated detection model of threat objects for X-ray baggage inspection based on depthwise separable convolution
X-ray baggage inspection is an essential task to detect threat objects at important controlled access places, which can guard personal safety and prevent crime. Generally, it is carried out by screeners to vis...
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A centripetal collection image sensor (CCIS) based on back gate modulation achieving 1T submicron pixel
In this study, a novel centripetal collection image sensor based on FDSOI technology has been investigated. In the CCIS image sensor array, adjacent pixels in the same row share a common drain and source to av...
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Article
A novel compressive sensing-based framework for image compression-encryption with S-box
In this paper, we find that compressive sensing (CS) with the chaotic measurement matrix has a strong sensitivity to plaintext. Because of the quantification executed after CS, however, the plaintext sensitivi...
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Real-time attacks on robust watermarking tools in the wild by CNN
Robust watermarking is a widely used technology to protect image copyright. Robustness, the ability to resist various distortions, is the most important property of robust watermarking algorithm. So to improve...
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Object and patch based anomaly detection and localization in crowded scenes
Detecting and localizing anomalies in crowded scenes is an ongoing challenge for public security. Existing approaches are mainly based on patches and trajectories. However, they fall short in semantic understa...
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Efficient protection using chaos for Context-Adaptive Binary Arithmetic Coding in H.264/Advanced Video Coding
Recently, video encryption has been widely investigated to enhance the protection for video data, yet the encryption efficiency may not be considered sufficiently so that some encryption schemes are unsuitable...
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A robust image watermarking scheme in DCT domain based on adaptive texture direction quantization
This paper proposes a novel robust image watermarking scheme in Discrete Cosine Transform (DCT) domain for active forensics. We investigate the relation between the positions and the modification magnitudes of...
