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Sensor network methodologies for sma...
~
Balas, Valentina Emilia.
Sensor network methodologies for smart applications
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Sensor network methodologies for smart applications/ Salahddine 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 networks - Industrial 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:
1340919
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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[electronic resource] /
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Salahddine Krit, Valentina Emilia Bălaș, Mohamed Elhoseny, Rachid Benlamri, and Marius M. Bălaș, editors.
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Hershey, Pennsylvania :
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IGI Global,
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2020.
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1 online resource (xviii, 279 p.)
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Includes bibliographical references and index.
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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.
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"This book contains research on the methods of intelligent systems and technologies and their various applications within sustainable development practices"--
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Industrial applications.
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Krit, Salahddine,
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Balas, Valentina Emilia.
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Elhoseny, Mohamed.
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Benlamri, Rachid.
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Bălaș, Marius M.,
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-4381-8
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