Titlebook: Cognitive Computing for Big Data Systems Over IoT; Frameworks, Tools an Arun Kumar Sangaiah,Arunkumar Thangavelu,Venkatesa Book 2018 The Ed

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,Reliable Cross Layer Design for E-Health Applications—IoT Perspective,etc. In that, e-health is one of the efficient idea that is decidedly developed for healthcare sectors. IoT devices used in e-health applications are run by battery powered smart objects and low frequency links, which says energy constrained and unreliable nature of IoT network. Thus, providing pote

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A Review on Security and Privacy Challenges of Big Data,fficiencies, with confidentiality issues. Additionally, technological advances are accompanied with threats that can pose dangerous privacy risks that can be more detrimental than expected. Privacy of data is a source of much concern to researchers throughout the globe. A question that remains unans

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Recent Trends in Deep Learning with Applications, data is collected from devices. Collecting data from all situations and doing pre-processing is complex. Monitoring data through sensors continuously is also complex and expensive. Deep learning algorithms will solve these types of issues. A deep learning method signifies at various levels of repre

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Applications of IoT in Healthcare,and network connectivity which enables these objects to collect and exchange data without human intervention. The different technologies comprising IoT are Wireless sensor network, Cloud Computing, Micro-electromechanical systems (MEMS), Semantic technologies and future Internet. This concept makes

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