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We propose a deep convolutional neural network architecture codenamed Inception that achieves the new state of the art for classification and detection in the ImageNet Large-Scale Visual Recognition… Continue Reading
Title of Dissertation: PERCEIVED ORGANIZATIONAL SUPPORT: LINKING HUMAN RESOURCE MANAGEMENT PRACTICES WITH IMPORTANT WORK OUTCOMES Wei Liu Dissertation directed by: Professor Kathryn M. Bartol… Continue Reading
Recently, graph-based hashing that learns similarity-preserving binary codes via an affinity graph has been extensively studied for large-scale image retrieval. However, most graph-based hashing… Continue Reading
Abstract Construction solid waste (CSW) landslides are always characterized by high mobility, and thus pose much danger to surrounding residents and buildings. In this study, a back in situ analysis… Continue Reading
BACKGROUND The Centers for Medicare & Medicaid Services (CMS) require prescription drug plan sponsors to offer a comprehensive medication review (CMR) annually to eligible beneficiaries through the… Continue Reading
The fixed channelization structure used by IEEE 802.11-based WLANs constrains the total capacity and leads to unfairness. The concept of variable-width channels is recently proposed to overcome these… Continue Reading
6599Background: Proton beam therapy (PBT) is a radiotherapy platform that purports an improved therapeutic ratio by way of a rapid radiation dose fall-off. Despite this technology being hindered by...
In this paper, we exploit the radio diversity gain in a multi-user hybrid radio network wirelessly powered by a power beacon station (PBS). Each user has a dual-mode radio that can switch between the… Continue Reading
Many new distributed multimedia applications involve dynamic multiple participants, have stringent end-to-end delay requirement and consume large amount of network resources. In this paper, we… Continue Reading