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Automated Full Quantification of Left Ventricle with Deep Neural Networks
Accurate cardiac left ventricle (LV) quantification is among the most clinically important and most frequently demanded tasks for …
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Social Network Monitoring for Bursty Cascade Detection
Social network services have become important and efficient platforms for users to share all kinds of information. The capability to …
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Video-Based Pig Recognition with Feature-Integrated Transfer Learning
Automatic detection and recognition of animals has long been a popular topic. It can be used on different areas, such as ecosystem …
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User Identity Linkage by Latent User Space Modelling
User identity linkage across social platforms is an important problem of great research challenge and practical value. In real …
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DistDL: A Distributed Deep Learning Service Schema with GPU Accelerating
Deep Learning is a hot topic developed by the industry and academia which integrates the broad field of artificial intelligence with …
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OptRS: An Optimized Algorithm Based on CRS Codes in Big Data Storage Systems
It is well-known that erasure codes, such as Reed-Solomon (RS) and Cauchy RS (CRS) codes, have played an important roles in big data …
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qSDS: A QoS-Aware I/O Scheduling Framework towards Software Defined Storage
The inadequate resource allocation, lack of I/O performance prediction and insufficient isolation are affecting the storage performance …
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Robot: An Efficient Model for Big Data Storage Systems Based on Erasure Coding
It is well-known that with the explosive growth of data, the age of big data has arrived. How to save huge amounts of data is of great …
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A Quantitative Evaluation Model for Choosing Efficient Redundancy Strategies over Clouds
Reliability has always been one of the key issues that draw widespread concerns since the rise of cloud computing. While most cloud …
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C-IRR: An Adaptive Engine for Cloud Storage Provisioning Determined by Economic Models with Workload Burstiness Consideration
Being the long dreamed vision of computing as a utility, cloud enables convenient and on-demand access to a large centralized pool of …
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