IDENTIFYING INFLUENTIAL TRENDS IN THE CLOUD COMPUTING PRICING RESEARCH USING COMPUTATIONAL LITERATURE REVIEW AND SOCIAL NETWORK ANALYSIS CENTRALITY MEASURES

Identifying Influential Trends in the Cloud Computing Pricing Research Using Computational Literature Review and Social Network Analysis Centrality Measures

Cloud computing has become one of the newest and most popular topics in the field of the Internet.Pricing is one of the main factors that can affect the successful implementation of cloud computing.Due to the large volume of research conducted in this field, the purpose of this study is to review the cloud computing pricing literature using a Compu

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SDR-Fi-Z: A Wireless Local Area Network-Fingerprinting-Based Indoor Positioning Method for E911 Vertical Accuracy Mandate

The Enhanced 911 (E911) mandate of the Federal Communications Commission (FCC) drives the evolution of indoor three-dimensional (3D) location/positioning services for emergency calls.Many indoor localization systems exploit location-dependent wireless signaling signatures, often called fingerprints, and machine learning techniques for position esti

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Background Noise Removal in Non-Contrast- Enhanced Ultrasound Microvasculature Imaging Using Combined Collaborative, Morphological, and Vesselness Filtering

Suppression of background noise in clutter filtered contrast-free ultrasound microvasculature images is an important step towards better visualization, accurate segmentation, and subsequent morphological analysis of vascular structures.While different approaches to tackling this motovox scooter parts problem have been proposed, the use of denoising

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