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Sensor network methodologies for sma...

Balas, Valentina Emilia.

Sensor network methodologies for smart applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Sensor network methodologies for smart applicationsSalahddine Krit, Valentina Emilia Bălaș, Mohamed Elhoseny, Rachid Benlamri, and Marius M. Bălaș, editors.
other author:	Krit, Salahddine,
Published:	Hershey, Pennsylvania :IGI Global,2020.
Description:	1 online resource (xviii, 279 p.)
Subject:	Sensor networksIndustrial applications.
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-4381-8
ISBN:	9781799843825 (ebk.)

Sensor network methodologies for smart applications
Sensor network methodologies for smart applications[electronic resource] /Salahddine Krit, Valentina Emilia Bălaș, Mohamed Elhoseny, Rachid Benlamri, and Marius M. Bălaș, editors. - Hershey, Pennsylvania :IGI Global,2020. - 1 online resource (xviii, 279 p.)

Includes bibliographical references and index.

Chapter 1. A review on FPGA-based digital filters for de-noising ECG signal -- Chapter 2. Artificial intelligence based on biological neurons: constructing neural circuits for IoT -- Chapter 3. Hybrid genetic approach for solving fuzzy graph coloring problem -- Chapter 4. IOT technology, applications, and challenges: a contemporary survey and classification -- Chapter 5. Nano-biosensors tech and IPM in plant protection to respond to climate change challenges in Morocco -- Chapter 6. Reinstate authentication of nodes in sensor network -- Chapter 7. Comprehensive ontological model for senior wellness activity recognition in smart homes -- Chapter 8. Sliding mode control for PV grid-connected system with energy storage -- Chapter 9. Comparison analysis of MAC protocols for wireless sensor networks: a comprehensive Survey.

"This book contains research on the methods of intelligent systems and technologies and their various applications within sustainable development practices"--

ISBN: 9781799843825 (ebk.)Subjects--Topical Terms:

900217
Sensor networks
--Industrial applications.

LC Class. No.: TK7872.D48 / S4345 2020

Dewey Class. No.: 006.2/5

Sensor network methodologies for smart applications
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050 0 0 $a TK7872.D48 $b S4345 2020
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245 0 0 $a Sensor network methodologies for smart applications $h [electronic resource] / $c Salahddine Krit, Valentina Emilia Bălaș, Mohamed Elhoseny, Rachid Benlamri, and Marius M. Bălaș, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2020.
300 $a 1 online resource (xviii, 279 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. A review on FPGA-based digital filters for de-noising ECG signal -- Chapter 2. Artificial intelligence based on biological neurons: constructing neural circuits for IoT -- Chapter 3. Hybrid genetic approach for solving fuzzy graph coloring problem -- Chapter 4. IOT technology, applications, and challenges: a contemporary survey and classification -- Chapter 5. Nano-biosensors tech and IPM in plant protection to respond to climate change challenges in Morocco -- Chapter 6. Reinstate authentication of nodes in sensor network -- Chapter 7. Comprehensive ontological model for senior wellness activity recognition in smart homes -- Chapter 8. Sliding mode control for PV grid-connected system with energy storage -- Chapter 9. Comparison analysis of MAC protocols for wireless sensor networks: a comprehensive Survey.
520 3 $a "This book contains research on the methods of intelligent systems and technologies and their various applications within sustainable development practices"-- $c Provided by publisher.
650 0 $a Sensor networks $x Industrial applications. $3 900217
650 0 $a Sustainable development. $3 177699
700 1 $a Krit, Salahddine, $d 1976- $3 900215
700 1 $a Balas, Valentina Emilia. $3 339595
700 1 $a Elhoseny, Mohamed. $3 801302
700 1 $a Benlamri, Rachid. $3 567260
700 1 $a Bălaș, Marius M., $d 1956- $3 900216
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-4381-8