"This reference is a compilation of work from different technology groups that give an insight into strategies used for technology optimization and technical R&D. Each of the 14 chapters presented in the book are contributed by engineering experts and focus on different aspects of smart technologies. The chapters cover a wide range of technical disciplines with a list of references for further reading. The compilation demonstrates methods that are useful to apprentices and researchers involved in the development of technologies in different fields:
 
·         Wireless networking
 
·         Signal processing
 
·         Control and machine engineering
 
·         SOC design
 
·         Materials science and nanotechnology
 
·         Biomedical engineering
 
·         Power electronics
 
 
 
The contributions in this book provide interesting examples for product development such as custom nanomaterials, digital electronics, smart devices and antennas. The content also serves as a reference for designing special components used for complex systems like wireless communication systems, automated control systems and organic waste processing systems. The content is structured in a format suitable for both learners and advanced researchers, making this reference essential to engineers at all levels.  "


Intelligent Technologies for Scientific Research and Engineering 

Bentham Science Publishers

S. Kannadhasan

Kaushik Pal

Alagar Karthick

"This volume explores a diverse range of applications for automated machine learning and predictive analytics. The content provides use cases for machine learning in different industries such as healthcare, agriculture, cybersecurity, computing and transportation. 
 
 
 
Chapter 1 introduces an innovative device for automatically notifying and analyzing the impact of automobile accidents. Chapter 2 focuses on the detection of malaria using systematized image processing techniques. In Chapter 3, an intelligent technique based on LMEPOP and fuzzy logic for the segmentation of defocus blur is discussed. Predictive analytics is introduced in Chapter 4, providing an overview of this emerging field. Chapter 5 delves into discrete event system simulation, offering insights into its applications. 
 
 
 
The performance analysis of different hypervisors in OS virtualization is explored in Chapter 6. Load balancing in cloud computing is the subject of investigation in Chapter 7. Chapter 8 presents a survey on a facial and fingerprint-based voting system utilizing deep learning techniques. Chapter 9 explores IoT-based automated decision-making with data analytics in agriculture. Biometric recognition through modality fusion is investigated in Chapter 10. Chapter 11 offers a new perspective on evaluating machine learning algorithms for predicting employee performance. Pre-process methods for cardiovascular diseases diagnosis using CT angiography images are discussed in Chapter 12. Chapter 13 presents the implementation of a smart wheelchair using ultrasonic sensors and LabVIEW. 
 
 
 
Cryptography using the Internet of Things is the focus of Chapter 14. Chapter 15 explores machine learning applications for traffic sign recognition, and the book concludes with Chapter 16, which analyzes machine learning algorithms in healthcare.
 
 
 
The book is a resource for academics, researchers, educators and professionals in the technology sector who want to learn about current trends in intelligent technologies."


Intelligent Technologies for Automated Electronic Systems

R. Nagarajan

N. Shanmugasundaram

This volume covers a wide array of topics related to research, technology and sustainability for technology researchers and educators. Chapter 1 explores the detection of fake news in a distributed environment. Material science is covered in Chapter 2, which explains the influence of MOS2, B4C, and graphite on the mechanical and dry sliding wear behavior of aluminum 7075 hybrid matrix composites. Chapter 3 focuses on sensors and antennas for smart sensor networks. Chapters 4 to 8 delve into various aspects of electrical and computer engineering, including induction motor condition monitoring, automatic conversion of building plans to graphs for robot navigation, and analysis of defects in microscopic and electroluminescent images using AI and image processing algorithms.
 
 
 
Chapters 9 to 16 cover topics such as missing data prediction techniques, breast cancer diagnosis on mammography, groundwater contamination, biofertilizers, organic farming, and remediation using organisms. Sustainable development is a key theme in Chapters 17 to 26, addressing issues like sensor-based vehicle fuel theft detection, waste management techniques, bioremediation of soil contaminated with heavy metals, sustainable agriculture practices, and novel approaches in bioplastics and nanoremediation. Finally, Chapters 27 to 29 touch upon renewable energy and Industrial IoT, discussing research challenges in renewable energy sources, recent trends, and the transformation brought about by the Industrial Internet of Things.
 
 
 
Readership
 
Academics, researchers, educators and professionals in the technology sector.

Intelligent Technologies for Research and Engineering

This volume explores diverse applications for automated machine learning and predictive analytics. The content provides use cases for machine learning in different industries such as healthcare, agriculture, cybersecurity, computing and transportation. 
 
 
 
Key highlights of this volume include topics on engineering for underwater navigation, and computer vision for healthcare and biometric applications.
 
 
 
Chapters 1-4 delve into innovative signal detection, biometric authentication, underwater AUV localization, and COVID-19 face mask detection. Chapters 5-9 focus on wireless pH sensing, differential pattern identification, economic considerations in off-grid hybrid power, high optimization of image transmission, and ANN-based IoT-bot traffic detection. Chapters 10-12 cover mixed-signal VLSI design, pre-placement 3D floor planning, and bio-mimic robotic fish. Finally, Chapters 13 and 14 explore underwater robotic fish and IoT-based automatic irrigation systems, providing a comprehensive overview of cutting-edge technological advancements.
 
 
 
The book is a resource for academics, researchers, educators and professionals in the technology sector who want to learn about current trends in intelligent technologies.

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