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Iot and Analytics for Sensor Networks: Proceedings of Icwsnuca 2021

ISBN-13: 9789811629181 / Angielski / Miękka / 2021 / 419 str.

Padmalaya Nayak; Souvik Pal; Sheng-Lung Peng
Iot and Analytics for Sensor Networks: Proceedings of Icwsnuca 2021 Padmalaya Nayak Souvik Pal Sheng-Lung Peng 9789811629181 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Iot and Analytics for Sensor Networks: Proceedings of Icwsnuca 2021

ISBN-13: 9789811629181 / Angielski / Miękka / 2021 / 419 str.

Padmalaya Nayak; Souvik Pal; Sheng-Lung Peng
cena 806,99 zł
(netto: 768,56 VAT:  5%)

Najniższa cena z 30 dni: 771,08 zł
Termin realizacji zamówienia:
ok. 22 dni roboczych
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Darmowa dostawa!
Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Telecommunications
Technology & Engineering > Electrical
Computers > Networking - General
Wydawca:
Springer
Seria wydawnicza:
Lecture Notes in Networks and Systems
Język:
Angielski
ISBN-13:
9789811629181
Rok wydania:
2021
Wydanie:
2022
Numer serii:
000797696
Ilość stron:
419
Waga:
0.73 kg
Wymiary:
23.39 x 15.6 x 2.72
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

An Interactive Smart Mirror using Internet of Things and Machine Learning.- CNN Based Mobile Device Detection using Still Images.- Performance Comparison of Adaptive Mobility Management Scheme with IEEE 802.11s to Handle Internet Traffic.- Prediction of Chemical Contamination for Water Quality Assurance Using Ml-Based Techniques.- Intelligent Traffic Control System for Emergency Vehicles.

Padmalaya Nayak is working as Professor in department of Computer Science Engineering in Gokaraju Rangaraju Institute of Engineering Technology, Hyderabad under Jawaharlal Technological University, Hyderabad, since 2009. She completed her doctoral degree from National Institute of Technology, Tiruchirappalli, India in 2010. She has 17 years of teaching and research experience in the area of Ad hoc and Sensor Networks. She has published more than 40 research papers in various International Journals and Conferences. She has also contributed two book chapters to her credit. She has visited many countries to present her research paper in many International Conferences. She has received many National/International Level awards for her academic contributions towards the education system. She is the Reviewer of many IEEE/SPRINGER/ELSEVIER Journals and Conferences. She is the member of IEEE, IETE and IEANG professional bodies. She is also a member of the advisory committee for several conference committees. 


Souvik Pal is an Associate Professor and Head of the Computer Science and Engineering Department at the Global Institute of Management and Technology, West Bengal, India. Prior to that, he was associated with Brainware University, Kolkata, India; JIS College of Engineering, Nadia; Elitte College of Engineering, Kolkata; and Nalanda Institute of Technology, Bhubaneswar, India. Dr. Pal received his BTech, MTech, and PhD degrees in the field of Computer Science and Engineering. He has more than a decade of academic experience. He is author or co-editor of 12 books from reputed publishers, including Elsevier, Springer, CRC Press, and Wiley, and he holds three patents. He is serving as a series editor for “Advances in Learning Analytics for Intelligent Cloud-IoT Systems”, published by Scrivener Publishing (Scopus-indexed) and “Internet of Things: Data-Centric Intelligent Computing, Informatics, and Communication”,\ published CRC Press, Taylor & Francis Group, USA. Dr. Pal has published a number of research papers in Scopus / SCI-indexed international journals and conferences. He is the organizing chair of RICE 2019, Vietnam; RICE 2020 Vietnam; ICICIT 2019, Tunisia. He has been invited as a keynote speaker at ICICCT 2019, Turkey, and ICTIDS 2019,2021, Malaysia, MAICT 2020, Iraq; ICWSNUSA 2021. His professional activities include roles as associate editor and editorial board member for more than 100+ international journals and conferences of high repute and impact. His research area includes cloud computing, big data, internet of things, wireless sensor network, and data analytics. He is a member of many professional organizations, including MIEEE; MCSI; MCSTA/ACM, USA; MIAENG, Hong Kong; MIRED, USA; MACEEE, New Delhi; MIACSIT, Singapore; and MAASCIT, USA.


Sheng-Lung Peng is a Professor and the director (head) of the Department of Creative Technologies and Product Design, National Taipei University of Business, Taiwan. He received the PhD degree in Computer Science from the National Tsing Hua University, Taiwan. He is an honorary Professor of Beijing Information Science and Technology University, China, and a visiting Professor of Ningxia Institute of Science and Technology, China. He is also an adjunct Professor of Mandsaur University, India. Dr. Peng has edited several special issues at journals, such as Soft Computing, Journal of Internet Technology, Journal of Real-Time Image Processing, International Journal of Knowledge and System Science, MDPI Algorithms, and so on. His research interests are in designing and analyzing algorithms for Bioinformatics, Combinatorics, Data Mining, and Networks areas in which he has published over 100 research papers.

This book includes high-quality research papers presented at the 1st International Conference on Wireless Sensor Networks, Ubiquitous Computing and Applications (ICWSNUCA, 2021), which is held at Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India, during 26–27 February, 2021. This volume focuses on the applications, use-cases, architectures, deployments, and recent advances of wireless sensor networks as well as ubiquious computing. Different research topics are illustrated in this book, like wireless sensor networks for the Internet of Things; IoT applications for eHealth; smart cities; architectures for WSNs and IoT, WSNs hardware and new devices; low-power wireless technologies; wireless ad hoc sensor networks; routing and data transfer in WSNs; multicast communication in WSNs; security management in WSNs and in IoT systems; and power consumption optimization in WSNs.



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