1,720,965 research outputs found
A Noninvasive Approach Using Multi-tier Deep Learning Classifier for the Detection and Classification of Breast Neoplasm Based on the Staging of Tumor Growth
Performance of unique and secure routing protocol (USRP) in flying Adhoc Networks for healthcare applications
Nowadays, Flying Adhoc Networks play a vital role due to its high efficiency in fast communication. Unmanned aerial vehicles transmit data much faster than other networks and are useful in all aspects of communication. In healthcare applications, wireless body area network transmits the data, whereas the security, which is the most important concern to be focused in a flying adhoc network is not satisfactory. Many intruders tamper the network, degrading the overall network performance. To avoid security issues, a unique and secure routing protocol that provides a single solution for five different types of attacks such as, black hole attacks, grey hole attacks, yoyo attacks, conjoint attack and jamming attacks, is proposed. The simulation results analyses the network performance by using the proposed routing table. In comparison to the other solutions rendered to resolve the affected network, this proposed routing protocol has a higher throughput, higher delivery rate, and lower delay. The Unique and Secure Routing Protocol (USRP) provides an integrated solution for an efficient and secure communication in a flying adhoc network
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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