Integrating AI in IoT Analytics on the Cloud for Healthcare Applications. Dieser Artikel ist nicht verfügbar.Integrating AI in IoT Analytics on the Cloud for Healthcare Applications

Internet of things (IoT) applications employed for healthcare generate a huge amount of data that needs to be analyzed to produce the expected reports. To accomplish this task, a cloud-based analytical solution is ideal in order to generate faster reports in comparison to the traditional way. Given the current state of the world in which every day IoT devices are developed to provide healthcare solutions, it is essential to consider the mechanisms used to collect and analyze the data to provide thorough reports. Integrating AI in IoT Analytics on the Cloud for Healthcare Applications applies artificial intelligence (AI) in edge analytics for healthcare applications, analyzes the impact of tools and techniques in edge analytics for healthcare, and discusses security solutions for edge analytics in healthcare IoT. Covering topics such as data analytics and next generation healthcare systems, it is ideal for researchers, academicians, technologists, IT specialists, data scientists, healthcare industries, IoT developers, data security analysts, educators, and students.

D. Jeya Mala has a Ph.D. in Software Engineering with Specialization on Software Testing and is Associate Professor in Thiagarajar College of Engineering, –a leading educational and philanthropic institution in Tamil Nadu, India. She had been in the industry for about 4 years. She has a profound teaching and research experience of more than 12 years. She has published a book on “Object Oriented Analysis and Design using UML” for Tata McGraw Hill Publishers. She has published more than forty (40) papers about her research works at leading international journals and conferences such as IET, ACM, Springer, World Scientific, Computing and Informatics etc. As a researcher, Dr. Jeya Mala had investigated practical aspects of software engineering and object-oriented paradigms for effective software development. Her work on Software Testing has fetched grants from UGC under Major Research Project scheme. Her dissertation has been listed as one of the best Ph.D. thesis in the CSIR – Indian Science Abstracts. She has successfully guided numerous Software Development based projects for the IBM- The Great Mind Challenge (TGMC) contest. The project she has mentored during 2007, has received national level Best Top 10 Project Award – 2007, from IBM. Currently she is guiding Ph.D. and M.Phil research scholars under the areas of Software Engineering and optimization techniques. She is a life member of Computer Society of India and an invited member of ACEEE. She forms the reviewer board in Journals like IEEE Transactions on Software Engineering, Elsevier – Information Sciences, Springer, World Scientific, International Journal of Metaheuristics etc. She has organized several sponsored national level conferences and workshops, notably she is one of the organizers of “Research Ideas in Software Engineering and Security (RISES’13) – A run-up event of ICSE 2014 sponsored by Computer Society of India”. She has been listed in Marquis Who’s Who list in 2011. She has completed certification on Software Testing Fundamentals, Brain bench certification on Java 1.1 programming, IBM certification as Associate Developer Websphere Application Studio. She is a proud recipient of several laurels from industries like Honeywell, IBM and Microsoft for her remarkable contributions in the field of Software Development and Object Orientation. Contact: djeyamala@gmail.com.