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166 Result(s)
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Article
Graph Accelerators—A Case for Sparse Data Processing
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Article
WavEnhancer: Unifying Wavelet and Transformer for Image Enhancement
Image enhancement is a widely used technique in digital image processing that aims to improve image aesthetics and visual quality. However, traditional methods of enhancement based on pixel-level or global-lev...
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Article
FedIERF: Federated Incremental Extremely Random Forest for Wearable Health Monitoring
Wearable health monitoring is a crucial technical tool that offers early warning for chronic diseases due to its superior portability and low power consumption. However, most wearable health data is distribute...
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Article
Improving Performance of Virtual Machine Covert Timing Channel Through Optimized Run-Length Encoding
With its wider acceptability, cloud can host a diverse set of data and applications ranging from entertainment to personal to industry. The foundation of cloud computing is based on virtual machines where boun...
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Article
Enhancing N-Gram Based Metrics with Semantics for Better Evaluation of Abstractive Text Summarization
Text summarization is an important task in natural language processing and it has been applied in many applications. Recently, abstractive summarization has attracted many attentions. However, the traditional ...
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Article
DeltaFuzz: Historical Version Information Guided Fuzz Testing
With the widespread use of agile software development methods, such as agile and scrum, software is iteratively updated more frequently. To ensure the quality of the software, regression testing is conducted b...
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Chapter and Conference Paper
Design and Modeling of a Novel Compliant Ankle Mechanism with Flexible Slider-Crank Limbs
This paper presents the conceptual design and modeling of a novel compliant ankle mechanism, which has flexible slider-crank limbs. Two elastic beams are utilized as the springy elements to connect the sliders...
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Chapter and Conference Paper
Effects of Fairness and Explanation on Trust in Ethical AI
AI ethics has been a much discussed topic in recent years. Fairness and explainability are two important ethical principles for trustworthy AI. In this paper, the impact of AI explainability and fairness on us...
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Article
DeepHBSP: A Deep Learning Framework for Predicting Human Blood-Secretory Proteins Using Transfer Learning
The identification of blood-secretory proteins and the detection of protein biomarkers in the blood have an important clinical application value. Existing methods for predicting blood-secretory proteins are ma...
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Chapter and Conference Paper
Development and Control of a CT Fluoroscopy Guided Lung Puncture Robot
Puncture surgery is an effective method for tumor diagnosis and treatment. Traditional manual puncture surgery guided by CT has the shortcomings of invisible tumor target, low puncture accuracy and complicatio...
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Article
Preface
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Chapter and Conference Paper
Design of a Reconfigurable Planar Parallel Continuum Manipulator with Variable Stiffness
This paper presents the design and analysis of a novel planar parallel continuum manipulator, in which slender flexible links are used as kinematic limbs to connect the moving platform and the fixed one. Diffe...
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Article
A GPU-Accelerated In-Memory Metadata Management Scheme for Large-Scale Parallel File Systems
Driven by the increasing requirements of high-performance computing applications, supercomputers are prone to containing more and more computing nodes. Applications running on such a large-scale computing syst...
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Article
FATOC: Bug Isolation Based Multi-Fault Localization by Using OPTICS Clustering
Bug isolation is a popular approach for multi-fault localization (MFL), where all failed test cases are clustered into several groups, and then the failed test cases in each group combined with all passed test...
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Article
DEM: Deep Entity Matching Across Heterogeneous Information Networks
Heterogeneous information networks, which consist of multi-typed vertices representing objects and multi-typed edges representing relations between objects, are ubiquitous in the real world. In this paper, we ...
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Article
Cognition-Driven Traffic Simulation for Unstructured Road Networks
Dynamic changes of traffic features in unstructured road networks challenge the scene-cognitive abilities of drivers, which brings various heterogeneous traffic behaviors. Modeling traffic with these heterogen...
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Article
Secure search for encrypted personal health records from big data NoSQL databases in cloud
As the healthcare industry adopts the use of cloud to store personal health record (PHR), there is a need to ensure that we maintain the ability to perform efficient search on encrypted data (stored in the clo...
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Article
Reference Image Guided Super-Resolution via Progressive Channel Attention Networks
In recent years, the convolutional neural networks (CNNs) for single image super-resolution (SISR) are becoming more and more complex, and it is more challenging to improve the SISR performance. In contrast, t...
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Article
Preface
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Article
Lessons Learned from Optimizing the Sunway Storage System for Higher Application I/O Performance
It is hard for applications to make full utilization of the peak bandwidth of the storage system in highperformance computers because of I/O interferences, storage resource misallocations and complex long I/O ...