Self-aware COVID-19 AI Approach (SIntL-CoV19) by Integrating Infected Scans with Internal Behavioral Analysis

In the Artificial intelligence (AI) field, intelligent social awareness is a quantifiable analysis that interacts with humans socially with other infected or non-infected COVID-19 (CoV19) humans. However, less importance is given in this direction. Clinically, there is a need for a social-awareness automated model design to quantify the self-awareness of infected patients and develop a social learning system. In this research paper, a new model of self-aware internal learning coronavirus 19 (SIntL-CoV19) model technique is presented with quantification measures to represent model requirements as an individual self-aware automated detection. Through this model, a human can communicate with the social environment and other humans with an accurate CoV19 infection diagnosis. SIntL-CoV19 model framework for implementation of self-aware architecture with this model is proposed making the diagnosis process compared with the existing architecture. The proposed model achieves improved accuracy Feature Classifier, which outperforms other learning algorithms for CoV19 and normal scans. The data from the investigation show that the proposed SIntL-CoV19 model method might be more effective than other methods

An Efficient Utilization of Spectrum in Seamless Mobility by Using Retransmission Rerouting Mechanism in Mobile IP

489-493Without an iota of doubt, the aspect of seamless mobility has become an important characteristic for high-fidelity wireless communication. As handy and trendy cell phones / smart phones are primarily used for the communication purpose, the cell coverage zones are mandated to be of high quality and adaptively to make and receive calls with all clarity and confidence. Usually, the seamless mobility capability is being achieved through the automatic handover from one cell to another under certain situations. The aspect of automatic handover is the process of adaptively changing the connection linkage established and being currently used to another connection even when the user is still talking. This channel shift is initiated often when crossing a borderline of the cell or if there is a substantial downturn in the receiving signal quality in the current channel. Mobile IP too has to reinforce the redirect the data to new foreign agent after the access of the network changes according to a particular sequence to hold up the seamless mobility. In this case, there is an additional delay caused by the redirection and in some cases, retransmission of the original data. The ideal case is therefore that the service interruption has to be extremely minimal to ensure the quality of experience (QoE). Therefore minimizing the unwanted delay handover process is being insisted everywhere for keeping up the connectivity anytime and anywhere across communication networks

Fuzzy-Ant Colony Based Routing on Road Networks

Route selection is essential in everyday life. We have several algorithms for detecting efficient route on Large Road Networks. This paper introduces the hierarchical community, is presented. It splits large road networks into hierarchical structure. It introduces a multi parameter route selection system which employs Fuzzy Logic (FL) and ant's behavior in nature is applied to the dynamic routing. The important rates of parameters such as path length and traffic are adjustable by the user. The purposes of the new hierarchical routing algorithm significantly reduce the search space. We develop a community-based hierarchical graph model that supports Dynamic, efficient route computation on large road networks