Communication based on the internet of things (IoT) generates huge amounts of data from sensors over time, which opens a wide range of applications and areas for researchers. The application of analytics, machine learning, and deep learning techniques over such a large volume of data is a very challenging task. Therefore, it is essential to find patterns, retrieve novel insights, and predict future behavior using this large amount of sensory data. Artificial intelligence (AI) has an important role in facilitating analytics and learning in the IoT devices. Applying AI-Based IoT Systems to Simulation-Based Information Retrieval provides relevant frameworks and the latest empirical research findings in the area. It is ideal for professionals who wish to improve their understanding of the strategic role of trust at different levels of the information and knowledge society and trust at the levels of the global economy, networks and organizations, teams and work groups, information systems, and individuals as actors in the networked environments. Covering topics such as blockchain visualization, computer-aided drug discovery, and health monitoring, this premier reference source is an excellent resource for business leaders and executives, IT managers, security professionals, data scientists, students and faculty of higher education, librarians, hospital administrators, researchers, and academicians.
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Poonam Tanwar received the B.Tech & M.Tech in Computer Science & Engineering from Maharishi Dayanand University, India in year 2001 & 2009 respectively and Ph.D. degree in computer science & Engineering from the Uttarakhand Technical University, India in 2015. Dr. Poonam Tanwar has 18 years of teaching experience working as associate Prof. in Manav Rachna International Institute of Research & Studies, Faridabad, India. She has published more than 50 research papers in various International Journals and Conferences. She has one copyright and filled 6 patents. She has edited book titled Big Data Analytics and Intelligence: A Perspective for Health Care in 2019 under the banner of emerald. She was Guest Editor for Special issue of Advancement in Machine Learning (ML) and Knowledge Mining (KM) for International Journal of Recent Patents in Engineering (UAE) & one more is in process. She has been awarded woman researcher award by VDGOODS Academy Chennai. She has organized various Science & Technology awareness program for rural development. She received Certificate of Recognition (Silver Category) for Outstanding Contribution to Campus Connect Program for all academic years since 2011 to 2017 by INFOSYS, Chandigarh. Beside this she is Technical program committee member for various International Conferences Like ICIC 2018, ICFNN, Rome (Italy), European Conference on Natural Language Processing and Information Retrieval, Berlin (Europe) Etc.
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Communication based on the internet of things (IoT) generates huge amounts of data from sensors over time, which opens a wide range of applications and areas for researchers. The application of analytics, machine learning, and deep learning techniques over such a large volume of data is a very challenging task. Therefore, it is essential to find patterns, retrieve novel insights, and predict future behavior using this large amount of sensory data. Artificial intelligence (AI) has an important role in facilitating analytics and learning in the IoT devices. Applying AI-Based IoT Systems to Simulation-Based Information Retrieval provides relevant frameworks and the latest empirical research findings in the area. It is ideal for professionals who wish to improve their understanding of the strategic role of trust at different levels of the information and knowledge society and trust at the levels of the global economy, networks and organizations, teams and work groups, information systems, and individuals as actors in the networked environments. Covering topics such as blockchain visualization, computer-aided drug discovery, and health monitoring, this premier reference source is an excellent resource for business leaders and executives, IT managers, security professionals, data scientists, students and faculty of higher education, librarians, hospital administrators, researchers, and academicians. Nº de ref. del artículo: 9781668452592
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