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We are facing an era with annotated biological data rapidly and continuously generated. How to effectively incorporate new annotated data into the learning step is crucial for enhancing the performance of a bioinformatics prediction model. Although machine-learning-based methods have been extensively used for dealing with various biological problems,(More)
Path compression techniques are efficient on-demand routing optimizing techniques for mobile ad hoc networks. But the existing path compression techniques have some shortages such as blindfold compression and unstable path. It is necessary to achieve the effective tradeoff of compression efficiency and path stability. This paper calculated the dynamic,(More)
With the expansion of mobile computing and mobile data services, the number, type, and application of location-based services will continue to expand rapidly in the coming years. These apps have attracted the interest of users from different fields, such as gaming, mobile commerce, navigation systems, emergency services, and various tracking systems. As(More)
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