• Produktbild: Artificial Intelligence and IoT
  • Produktbild: Artificial Intelligence and IoT
Band 85 - 12%

Artificial Intelligence and IoT Smart Convergence for Eco-friendly Topography

Aus der Reihe Studies in Big Data
12% sparen

187,99 € UVP 213,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.02.2022

Abbildungen

XVI, 267 p. 115 illus., 96 illus. in color.

Herausgeber

Kalaiselvi Geetha Manoharan + weitere

Verlag

Springer Singapore

Seitenzahl

267

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

435 g

Auflage

1st edition 2021

Sprache

Englisch

ISBN

978-981-3364-02-8

Beschreibung

Portrait


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.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.02.2022

Abbildungen

XVI, 267 p. 115 illus., 96 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

267

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

435 g

Auflage

1st edition 2021

Sprache

Englisch

ISBN

978-981-3364-02-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Artificial Intelligence and IoT
  • Produktbild: Artificial Intelligence and IoT
  • 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.