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Background and Aim
Endoscopic screening for early detection of upper gastrointestinal (UGI) lesions is important. However, population‐based endoscopic screening is difficult to implement in populous countries. By identifying high‐risk individuals from the general population, the screening targets can be narrowed to individuals who are in most need of an endoscopy. This study was designed to develop...
Network traffic volume estimation and prediction is an important research topic that attracts persistent attention from the networking community and the machine learning community. Although there has been extensive work on estimating or predicting the traffic matrix using time series models, low rank matrix decomposition et. al, to the best of our knowledge, there is few work investigating the problem...
With the development of big data collection and analysis technologies, the abundant mobile network information and traffic data provide opportunities for researchers to analyze and understand mobile networks better. However, the existing cellular network architecture do not facilitate the deployment of big mobile data analysis in practical networks. In order to use these data for network management,...
With the growth of mobile data and the increasing density of base stations, mobility management in future cellular networks will face great challenges. One such challenge is the high frequency of handovers. With high-frequency handovers, packet delay caused by forwarding in handovers cannot be ignored any more. In this paper, we propose a novel data prefetching strategy to reduce handover delays in...
A multi-channel digital pre-distortion (DPD) technique is proposed to linearize the SCM-RoF system. The DPD processing bandwidth and computation cost are greatly reduced, while excellent nonlinear compensation performance is obtained in the experimental demonstration.
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