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Artificial Intelligence and Iot

Artificial Intelligence and Iot


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About the Book

Smart IoT multimodal emotion recognition system using deep learning networks.- Artificial Intelligence and IoT framework for the health monitoring system.- Big Data Classification: Application and Challenges.- A survey on recent deep learning architectures.- Research Progress of MapReduce Big Data Processing Platform and Algorithm.- A CNN Based Traffic Sign Recognition System.- Deep learning algorithm and its applications to IoT and Computer Vision.- Exploiting Internet of Things (IOT) Services to Autism Children Emotion Recognition System.
About the Author:

Dr. M. Kalaiselvi Geetha is Professor with 26 years of experience demonstrating consistent success as an educator at the undergraduate and postgraduate education in Computer Science and Engineering, Annamalai University. She has outstanding track record in assuring student success. She was committed to conceiving and building programs from the ground up through proven competencies in board of studies, grant writing, administration, program management, staff development and empowerment. She has strong attitude toward teaching and in motivating students to develop their expertise in major areas like AI, machine learning, computer vision, cloud computing and IoT. Her active participation is in continued learning through conferences and professional research. She believes in students' abilities to learn and an inherent thirst for knowledge with the right environment. She actively works to connect students to their material to transform lives. She is associated with CSI and ISTE professional bodies.

Dr. J. Arun Nehru is currently working as Assistant Professor in SRM Institute of Science and Technology, with 4 years of professional teaching experience in the Department of Computer Science and Engineering, and committed to comprehensive problem-solving abilities, ability to cope and work with people in groups, leadership quality and analytical and interpersonal skills. He has strong attitude toward teaching and in motivating students to develop their expertise in major areas like deep learning, machine learning, AWS cloud computing and IoT. His active participation is in continuous learning through workshops, seminars, conferences and professional research and associated with ICTACT, IET, IAENG, IEDRC and ISTE professional bodies.

Dr. B. Sivaraman is Professor in the Department of Mechanical Engineering, Annamalai University with 33 years of teaching experience at both the undergraduate and postgraduate levels. He always strives hard to maintain outstanding track record in assuring student success and progression. He has commitment to conceive and build programs from the scratch. He contributed a lot in administration, program management, staff development and empowerment. He has got positive approach and attitude in teaching students to develop their knowledge in major areas like CFD, heat transfer, renewable energy and data analysis. He actively participates in continued learning through conferences and professional research. He believes in students' abilities to learn and an inherent thirst for knowledge with the right environment. He actively works to connect students to their material to transform lives. He is associated with ISTE professional body.


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Product Details
  • ISBN-13: 9789813363991
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 267
  • Series Title: Studies in Big Data
  • Sub Title: Smart Convergence for Eco-Friendly Topography
  • Width: 156 mm
  • ISBN-10: 9813363991
  • Publisher Date: 01 Apr 2021
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Spine Width: 18 mm
  • Weight: 625 gr


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