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Flexible Sensors for Energy-Harvesting Applications
This book investigates the fabrication of different types of flexible sensors and their subsequent implementation for energy-harvesting applications. A range of techniques, including 3D printing, soft lithography, laser ablation, micro-contract printing, screen-printing, inkjet printing and others have been used to form the flexible sensors with varied characteristics. These sensors have been used for biomedical, environmental and healthcare applications on the basis of their performances. The quality of these flexible sensors has depended on certain types of nanomaterials that have been used to synthesize the conductive parts of the prototypes. These nanomaterials have been based on differe...
Interdigital Sensors
The book highlights the research contributions of the interdigitated (IDT) sensors over a period of two decades in the field of sensing technology. It presents theory, design, and practical realization of the IDT sensors working over wide frequency rage for scientific, industrial, and consumer applications. The IDT sensors have been widely investigated for wide range of sensing applications including agriculture, environmental monitoring, structural health monitoring, health care, food and beverage testing, testing of dielectric material, proximity sensing, microfluidic application, automatic dispensing system etc. Hence, importance of IDT sensors is growing continuously for future applications. As such, it offers a key reference guide on IDT sensors for students, applied physicists, material scientists, engineers, sensors designers and technicians.
Carbon Nanotube-Based Sensors
Carbon Nanotube-Based Sensors: Fabrication, Characterization, and Implementation highlights the latest research and developments on carbon nanotubes (CNTs) and their applications in sensors and sensing systems. It offers an overview of CNTs, including their synthesis, functionalization, characterization, and toxicology. It then delves into the fabrication and various applications of CNT-based sensors. FEATURES Defines the significance of different forms of CNT-based sensors synthesized for diverse engineering applications and compares the feasibility of their generation Helps readers evaluate different types of fabrication techniques to generate CNTs and their subsequent sensing Discusses fabrication of low-cost, efficient CNTs-based sensors that can be used for diverse applications and sheds light on synthesis methods for a range of printing techniques Highlights challenges and advances in security-related issues using CNTs-based sensors This book is aimed at researchers in the fields of materials and electrical engineering who are interested in the development of sensor technology for industrial, biomedical, and related applications.
Advances in Microwave Engineering
This text showcases recent advancements in the field of microwave engineering, starting from the use of innovative materials to the latest microwave applications. It also highlights safety guidelines for exposure to microwave and radio frequency energy. The book provides information on measuring circuit parameters and dielectric parameters. Explains microwave antennas, microwave communication, microwave propagation, microwave devices, and circuits in detail Covers microwave measurement techniques, radiation hazards, space communication, and safety measures Focuses on advanced computing technologies, wireless communication, and fiber optics Presents scattering matrix and microwave passive com...
Proceedings of International Conference on Computational Intelligence and Computing
This book includes the original, peer-reviewed research articles from the International Conference on Computational Intelligence and Computing (ICCIC 2020), held in September 2020 on a virtual platform jointly organized by SR Group of Institutions, Jhansi, India, IETE, Kolkata Centre, India, and Eureka Scientech Research Foundation, Kolkata India. It covers the latest research in image processing, computer vision and pattern recognition, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks and IoT applications, artificial intelligence, expert systems, natural language processing, image processing, computer vision, artificial neural networks, fuzzy logic, evolutionary optimization, rough sets, web intelligence, intelligent agent technology, virtual reality, and visualization.
Printed Flexible Sensors
This book presents recent advances in the design, fabrication and implementation of flexible printed sensors. It explores a range of materials for developing the electrode and substrate parts of the sensors, on the basis of their electrical and mechanical characteristics. The sensors were processed using laser cutting and 3D printing techniques, and the sensors developed were employed in a number of healthcare, environmental and industrial applications, including: monitoring of physiological movements, respiration, salinity and nitrate measurement, and tactile sensing. The type of sensor selected for each application depended on its dimensions, robustness and sensitivity. The sensors fabricated were also embedded in an IoT-based system, allowing them to be integrated into real-time applications.
Evolution and Advances in Computing Technologies for Industry 6.0
This book provides a comprehensive exploration of Industry 6.0, which marks the convergence of intelligent systems, machine learning (ML), deep learning, and human–robot collaboration (HRC) in various sectors. It focuses on how these technologies enable businesses to harness insights from vast datasets, optimize operations, forecast maintenance requirements, and mitigate outages. In this comprehensive book, the authors cover the major aspects of Industry 6.0, including the latest advances in technology, new applications, and the many challenges that accompany the process that is changing it. This book acts as a compass, guiding readers through the labyrinth of Industry 6.0, revealing the c...
Federated Deep Learning for Healthcare
This book provides a practical guide to federated deep learning for healthcare including fundamental concepts, framework, and the applications comprising domain adaptation, model distillation, and transfer learning. It covers concerns in model fairness, data bias, regulatory compliance, and ethical dilemmas. It investigates several privacy-preserving methods such as homomorphic encryption, secure multi-party computation, and differential privacy. It will enable readers to build and implement federated learning systems that safeguard private medical information. Features: Offers a thorough introduction of federated deep learning methods designed exclusively for medical applications. Investigates privacy-preserving methods with emphasis on data security and privacy. Discusses healthcare scaling and resource efficiency considerations. Examines methods for sharing information among various healthcare organizations while retaining model performance. This book is aimed at graduate students and researchers in federated learning, data science, AI/machine learning, and healthcare.
Internet of Behavior-Based Computational Intelligence for Smart Education Systems
Smart education is transforming the way we teach and learn by incorporating advanced technologies that enhance interactivity, personalization, and efficiency. By integrating digital tools, data analytics, and innovative strategies, it can better address the needs of 21st-century learners. Central to this shift is the Internet of Behavior (IoB). As IoT grows, it collects behavior-related data and combines that data analysis with intelligent systems. While this fusion enhances personalized learning, it also raises important concerns about privacy, security, and ethics. Internet of Behavior-Based Computational Intelligence for Smart Education Systems explores the intricacies of how IoB and computational intelligence are transforming education. It offers practical insights and theoretical foundations on how behavioral data can create smarter, more adaptive learning environments. Targeting educators, technologists, and researchers, the book delves into the latest developments at the intersection of technology and education, guiding readers toward more personalized, efficient, and effective learning systems.
