351 Result(s)
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Computer Science
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Article
ACX-UNet: a multi-scale lung parenchyma segmentation study with improved fusion of skip connection and circular cross-features extraction
Convolutional neural networks (CNN) are widely used in the field of computer-aided diagnosis of lung diseases. Its main tasks are segmentation of lung parenchyma, lung nodule detection and lesion analysis. Amo...
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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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Article
Robust AUC maximization for classification with pairwise confidence comparisons
Supervised learning often requires a large number of labeled examples, which has become a critical bottleneck in the case that manual annotating the class labels is costly. To mitigate this issue, a new framew...
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Article
Machine-learning-accelerated simulations to enable automatic surface reconstruction
Understanding material surfaces and interfaces is vital in applications such as catalysis or electronics. By combining energies from electronic structure with statistical mechanics, ab initio simulations can, ...
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Article
Faster-FIIS-GMS: a novel object detection framework for instance search
Visual sensors are widely deployed in many promising detection fields, such as precision measurement, visual object detection and search. Instance search is a special object search method based on visual senso...
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Article
Joint power control and passive beamforming optimization in RIS-assisted anti-jamming communication
Due to the openness of the wireless propagation environment, wireless networks are highly susceptible to malicious jamming, which significantly impacts their legitimate communication performance. This study in...
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Article
Zero-reference single underwater image enhancement
Underwater images play an essential role in acquiring and analyzing underwater information. Autonomous Underwater Vehicles (AUVs) highly rely on the quality of the captured underwater images, in order to carry...
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Article
Multi-speaker DoA Estimation Using Audio and Visual Modality
Traditionally, direction of arrival (DoA) approaches only use a single audio modality. However, humans naturally locate sound sources through auditory and visual clues. Inspired by this motivation, we adopt au...
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Article
Prediction of fault evolution and remaining useful life for rolling bearings with spalling fatigue using digital twin technology
Quantifying fault severity is a critical part of rolling bearing health management. There are numerous methods for evaluating the severity of rolling bearing faults that utilize various signals to predict the ...
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Article
Local critical analysis of inequalities related to the sum of distances between n points on the unit hemisphere for \(n=4,5\)
In this paper, we study a geometrical inequality conjecture which states that for any four points on a hemisphere with the unit radius, the largest sum of distances between the points is
