“This is an introduction to the concepts of the Internet of Things (IoT) and the application of analytics to the data, including aspects of data storage and model derivation. … intended audience is professionals contemplating direct involvement in IoT data in healthcare, which would include engineers, data scientists, and some clinical informaticians who are interested in development and application of IoT technology. … book is useful for someone looking to investigate topics related to the use of IoT in healthcare.” (David M. Liebovitz, Doody's Book Reviews, October, 2017)

• Internet of Things Driven Connected Healthcare.-Internet of Things in HealthcareEnergy Efficient Network Design for IoT Healthcare Applications.-Exploring Formal Strategy Framework for the Security in IoT in e-health using Computational Intelligence.-Vitality of Robotics in Healthcare Industry: An Internet of Things (IoT) Perspective.-Internet of Things Meets Mobile Health Systems in Smart Spaces: An Overview.-Information and Communication Emerging Technology: Making Sense of Healthcare Innovation.-Health Informatics as a Service (HIaaS) for Developing Countries.- Analysis of Power Aware Protocols and Standards for Critical E-Health Applications.-Social Networking and Analytics.-A decision support system in brain tumor detection and localization in nominated areas in MR images.-Detecting Unusual Human Activities Using GPU-enabled Neural Network and Kinect Sensors.

“This is an introduction to the concepts of the Internet of Things (IoT) and the application of analytics to the data, including aspects of data storage and model derivation. … intended audience is professionals contemplating direct involvement in IoT data in healthcare, which would include engineers, data scientists, and some clinical informaticians who are interested in development and application of IoT technology. … book is useful for someone looking to investigate topics related to the use of IoT in healthcare.” (David M. Liebovitz, Doody's Book Reviews, October, 2017)

• Internet of Things Driven Connected Healthcare.-Internet of Things in HealthcareEnergy Efficient Network Design for IoT Healthcare Applications.-Exploring Formal Strategy Framework for the Security in IoT in e-health using Computational Intelligence.-Vitality of Robotics in Healthcare Industry: An Internet of Things (IoT) Perspective.-Internet of Things Meets Mobile Health Systems in Smart Spaces: An Overview.-Information and Communication Emerging Technology: Making Sense of Healthcare Innovation.-Health Informatics as a Service (HIaaS) for Developing Countries.- Analysis of Power Aware Protocols and Standards for Critical E-Health Applications.-Social Networking and Analytics.-A decision support system in brain tumor detection and localization in nominated areas in MR images.-Detecting Unusual Human Activities Using GPU-enabled Neural Network and Kinect Sensors.

“This is an introduction to the concepts of the Internet of Things (IoT) and the application of analytics to the data, including aspects of data storage and model derivation. … intended audience is professionals contemplating direct involvement in IoT data in healthcare, which would include engineers, data scientists, and some clinical informaticians who are interested in development and application of IoT technology. … book is useful for someone looking to investigate topics related to the use of IoT in healthcare.” (David M. Liebovitz, Doody's Book Reviews, October, 2017)

• Internet of Things Driven Connected Healthcare.-Internet of Things in HealthcareEnergy Efficient Network Design for IoT Healthcare Applications.-Exploring Formal Strategy Framework for the Security in IoT in e-health using Computational Intelligence.-Vitality of Robotics in Healthcare Industry: An Internet of Things (IoT) Perspective.-Internet of Things Meets Mobile Health Systems in Smart Spaces: An Overview.-Information and Communication Emerging Technology: Making Sense of Healthcare Innovation.-Health Informatics as a Service (HIaaS) for Developing Countries.- Analysis of Power Aware Protocols and Standards for Critical E-Health Applications.-Social Networking and Analytics.-A decision support system in brain tumor detection and localization in nominated areas in MR images.-Detecting Unusual Human Activities Using GPU-enabled Neural Network and Kinect Sensors.