Description
Book SynopsisThis book covers the theory, design and applications of computer networks, distributed computing and information systems. Networks of today are going through a rapid evolution, and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low-power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations is emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnections problems. To fulfill their large range of applications, different kinds of networks need to collaborate, and wired and next generation wireless systems should be integrated in order to develop high-performance computing solutions to problems arising from the complexities of these networks.
The aim of the book “Advanced Information Networking and Applications” is to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
Table of ContentsLSTM-based Reinforcement Q Learning Model for Non Intrusive Load Monitoring.- Machine Learning for Student QoE Prediction in Mobile Learning during COVID-19.- Shape trajectory analysis based on HOG descriptor for isolated word sign language recognition.- An Improved Ant Colony Optimization based Parking Algorithm with Graph Coloring.-Smart insole monitoring system for fall detection and bad plantar pressure.- Information Security Fatigue in Visually Impaired University Students.- A floating car data application to estimate the origin- destination car trips before and during the COVID-19 pandemic.- Simulation and evaluation of charging electric vehicles in smart energy neighborhoods.
