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Remaining useful life estimation in prognostics using deep convolution neural networks
TLDR
This paper proposes a data-driven approach for prognostics using deep convolution neural networks (DCNN). Expand
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Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit
TLDR
The task of traffic line detection is a fundamental yet challenging problem. Expand
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Stochastic pooling problem for natural gas production network design and operation under uncertainty
Product quality and uncertainty are two important issues in the design and operation of natural gas production networks. This paper presents a stochastic pooling problem optimization formulation toExpand
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Estimating the size of the Chinese outbound travel market: A demand-side approach
The Chinese outbound travel market has been one of the fastest-growing international markets over the past decade. However, estimating the size and identifying key tourist-generating areas for theExpand
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Enhanced Multiple Transform for Video Coding
TLDR
The Discrete Cosine Transform (DCT), and in particular the DCT type II, has been widely used for image and video compression. Expand
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Prevalence, racial variations, and risk factors of age-related macular degeneration in Singaporean Chinese, Indians, and Malays.
OBJECTIVE To describe the prevalence and risk factors for age-related macular degeneration (AMD) in a multiethnic Asian cohort of Chinese, Malay, and Indian persons. DESIGN Population-basedExpand
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Misinformation in Online Social Networks: Detect Them All with a Limited Budget
TLDR
We study a general misinformation-detection problem for cases where the knowledge about misinformation sources is lacking, and show its equivalence to influence-maximization problem in the reverse graph. Expand
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A Subway Train Timetable Optimization Approach Based on Energy-Efficient Operation Strategy
With the rising energy prices and environment concerns, energy-efficient operation is paid more and more attention in the subway systems, which is one of the effective ways to reduce the operationExpand
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Limiting the Spread of Misinformation While Effectively Raising Awareness in Social Networks
TLDR
In this paper, we study the Misinformation Containment (MC) problem. Expand
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Catastrophic cascading failures in power networks
TLDR
We study the cascading critical node (CasCN) problem which asks to find a set of nodes whose failure maximizes the number of failed nodes under the effect of cascading failures. Expand
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