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Produktbild: Smart Sensors for Industrial Internet of Things

Smart Sensors for Industrial Internet of Things Challenges, Solutions and Applications

Aus der Reihe Internet of Things

Fr. 218.00

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.02.2022

Herausgeber

Deepak Gupta + weitere

Verlag

Springer

Seitenzahl

306

Maße (L/B/H)

23.5/15.5/1.8 cm

Gewicht

493 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-3-030-52626-9

Beschreibung

Portrait

Dr. Deepak Gupta is an eminent academician; plays versatile roles and responsibilities juggling between lectures, research, publications, consultancy, community service, PhD and post-doctorate supervision etc. With 12 years of rich expertise in teaching and two years in industry; he focuses on rational and practical learning. He has contributed massive literature in the fields of Human-Computer Interaction, Intelligent Data Analysis, Nature-Inspired Computing, Machine Learning and Soft Computing. He has served as Editor-in-Chief, Guest Editor, Associate Editor in SCI and various other reputed journals. He has completed his Post-Doc from Inatel, Brazil, and Ph.D. from Dr. APJ Abdul Kalam Technical University. He has authored/Edited 33 books with National/International level publisher (Elsevier, Springer, Wiley, Katson). He has published 118 scientific research publications in reputed International Journals and Conferences including 56 SCI Indexed Journals of IEEE, Elsevier, Springer, Wiley and many more. He is the convener and organizer of ‘ICICC’ springer conference series. 

Prof. Victor Hugo C. de Albuquerque [M’17, SM’19] is a professor and senior researcher at the University of Fortaleza, UNIFOR, Brazil, and Data Science Director at the Superintendency for Research and Public Safety Strategy of Ceará State (SUPESP/CE), Brazil. He has a Ph.D in Mechanical Engineering from the Federal University of Paraíba, an MSc in Teleinformatics Engineering from the Federal University of Ceará, and he graduated in Mechatronics Engineering at the Federal Center of Technological Education of Ceará. He is currently an Associate Professor of the Graduate Program in Applied Informatics of UNIFOR and leader of the Industrial Informatics, Electronics and Health Research Group (CNPq). He is a specialist, mainly, in IoT, Machine/Deep Learning, Patter Recognition, Robotic.

Dr. Ashish Khanna has 16 years of expertise in Teaching, Entrepreneurship,and Research & Development He received his Ph.D. degree from NationalInstitute of Technology, Kurukshetra. He has completed his M. Tech. and B.Tech. GGSIPU, Delhi. He has completed his postdoc from Internet of ThingsLab at Inatel, Brazil and University of Valladolid, Spain. He has publishedaround 45 SCI indexed papers in IEEE Transaction, Springer, Elsevier, Wileyand many more reputed Journals with cumulative impact factor of above 100. He has around100 research articles in top SCI/ Scopus journals, conferences and book chapters. He is co-author of around 20 edited and text books. His research interest includes Distributed Systems,MANET, FANET, VANET, IoT, Machine learning and many more. He is originator of BhavyaPublications and Universal Innovator Lab. Universal Innovator is actively involved in research,innovation, conferences, startup funding events and workshops. He has served the researchfield as a Keynote Speaker/ Faculty Resource Person/ Session Chair/ Reviewer/ TPC member/post-doctorate supervision. He is convener and Organizer of ICICC conference series. He iscurrently working at the Department of Computer Science and Engineering, Maharaja AgrasenInstitute of Technology, under GGSIPU, Delhi, India. He is also serving as series editor in Elsevierand De Gruyter publishing houses.

Purnima Lala Mehta received her bachelor’s degree and master’s degree in the field of Electronics and Communications Engineering (ECE) from Bharati Vidyapeeth’s College of Engineering for Women (BVCOEW), University of Pune, India, and Northcap University (formerly ITM University), Gurgaon, India respectively. She has received Doctor of Philosophy (PhD) degree, in the field of “Wireless Cellular Communications through Aerial Drones” from Aarhus University, Denmark (ranked 141 by QS World Ranking).  She has been working as an Assistant Professor since July 2012 and has around 8 years of teaching and research experience including international exposure at countries like Denmark, Germany, China, etc. Her research interests include the areas of Mobile Computing, Aerial Drone based Wireless Communications, Wireless Ad-Hoc Networks, Millimeter Wave Communications, Future Generations of Communications, and Business Modelling. She has contributed her papers in multiple peer reviewed conferences, journals and books. For her astounding research work in Springer, she has been awarded ‘Franklin Quarterly Membership’ by London Journals Press. She has been appointed as reviewer of SCI indexed journal; Wireless Personal Communications, Springer and has served as a Resource Person/Panel Speaker at a number of Research events like IEEE 5G Summits, IEEE ANTS conference, etc. She has chaired and conducted multiple sessions in peer conferences including IEEE WPMC, Portugal. 

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.02.2022

Herausgeber

Verlag

Springer

Seitenzahl

306

Maße (L/B/H)

23.5/15.5/1.8 cm

Gewicht

493 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-3-030-52626-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Smart Sensors for Industrial Internet of Things
  • Introduction.- Section 1: Industrial Internet of things (IIoT).- Introduction to Industrial Internet of things (IIoT).- IIoT Architecture.- IIoT Key Technologies .- IIoT Use Cases.- Section 2: Smart Sensors for IIoT.- How Smart? – Role of Smart Sensors in IIoT.- Challenges to IIoT Smart Sensor Manufacturing and Deployment.- Section 3: IIoT Smart.- Sensors and Business Aspects.- Smart Sensor IIoT Businesses.- Predictive Analytics with Sensor Data.- Efficient Business Predictions .- Section 4: IIoT Smart Sensors Potential and Applications.- Potential and Importance of Smart Sensors for IIoT.- Real-World Applications of Smart Sensor IIoT.- Section 5: IIoT Smart Sensor Case Studies.- Connected Vehicles – Intelligent Transport Systems.- Internet of Drones.- Precision Farming/Agriculture.- Healthcare.- Conclusion.