Biomedical signal processing is a rapidly expanding field with a wide range of applications, from the construction of artificial limbs and aids for disabilities to the development of sophisticated medical imaging systems. Acquisition and processing of biomedical signals has become more important to the physician. The main reasons for this development are the growing complexity of the biomedical examinations, the increasing necessity of comprehensive documentation and the need for automation in order to reduce costs. Analysis of signals accomplished by humans has many limitations, therefore, computer analysis of these signals could provide objective strength to diagnoses; however, the development of an algorithm for biomedical signal analysis is a significant challenge. This ebook will cover biomedical signal processing as used in both therapeutic and diagnostic instrumentation. A number of current research projects are also outlined with emphasis on intelligent medical image diagnosis. This book should be a valuable reference for researchers, professionals and technical experts working in the fields of Biomedical Signal processing (BSP) including applications, filtering and registration techniques, reconstruction and normalization algorithms, technical experts requiring an understanding of processing and analyzing biomedical signals, as well as postgraduate students working on image processing and novel signal processing paradigms applied to BSP.

This book is an updated reference of research activities that bring together various theories, methods, and technologies of robotic systems and automation for manufacturing and related fields. The book includes articles on state-of-the-art robotic systems and automation for diverse avenues in automation such as advanced manufacturing, developments in design methodology, kinematics and dynamics analysis, performance analysis and evaluation, intelligent manufacturing, assembly, sensors, control theory and practice, human-machine interface, and so on. This book is an excellent research reference for engineers, researchers, and students that range from senior undergraduates to advanced doctoral students and professionals who are interested in robotics and automation.

Silicon Based Thin Film Solar Cells explains concepts related to technologies for silicon (Si) based photovoltaic applications. Topics in this book focus on ‘new concept’ solar cells. These kinds of cells can make photovoltaic power production an economically viable option in comparison to the bulk crystalline semiconductor technology industry. A transition from bulk crystalline Si solar cells toward thin-film technologies reduces usage of active material and introduces new concepts based on nanotechnologies. Despite its importance, the scientific development and understanding of new solar cells is not very advanced, and educational resources for specialized engineers and scientists are required. This textbook presents the fundamental scientific aspects of Si thin films growth technology, together with a clear understanding of the properties of the material and how this is employed in new generation photovoltaic solar cells. The textbook is a valuable resource for graduate students working on their theses, young researchers and all people approaching problems and fundamental aspects of advanced photovoltaic conversion.

This book deals with structural failure (induced by mechanical, aerodynamic, acoustic and aero-thermal, loads, etc.) of modern aerospace vehicles, in particular high-speed aircraft, solid propellant rocket systems and hypersonic flight vehicles, where structural integrity, failure prediction and service life assessment are particularly challenging, due to the increasingly more demanding mission requirements and the use of non-traditional materials, such as non-metallic composites, in their construction. Prediction of the complex loading environment seen in high-speed operation and constitutive / fracture models which can adequately describe the non-linear behaviour exhibited by advanced alloys and composite materials are critical in analyzing the non-linear structural response of modern aerospace vehicles and structures. The state-of-the-art of the different structural integrity assessment and prediction methodologies (including non-destructive structural health monitoring techniques) used for the structural design, service life assessment and failure analysis of the different types of aerospace vehicles are presented. The chapters are written by experts from aerospace / defence research organizations and academia in the fields of solid mechanics, and structural mechanics and dynamics of aircraft, rocket and hypersonic systems. The book will serve as a useful reference document containing specialist knowledge on appropriate prediction methodologies for a given circumstance and experimental data acquired from multi-national collaborative programs.

Computational simulation and experimental techniques for nanofluid flow is a collection of studies on nanofluid modelling. It brings together eight detailed research articles that describe the latest developments in nanofluid flow experimentation and simulation. Topics covered include numerical flow simulations and applications on MHD viscous nanofluid, bioconvective nanofluid, oblique nanofluid, Casson nanofluid, hybrid nanofluid, Darcy-Forchheimer hybrid nanofluid, magneto-radiative Ag-water nanofluid, and thixotropic nanofluid. Key Features - Includes eight chapters authored by experts in fluid mechanics and numerical simulation - Showcases significant and novel attempts on computational simulation modelling for developing new mathematical models on nanofluids at the research level - Highlights current research intended to advance mathematics and other areas of science and technology - Includes references for advanced readers This publication is essential for researchers and students, academicians who are learning nanofluid flow models. Readers involved in applied research and development projects involving nanofluids will also benefit from the information (environmentalists, technicians and biomedical engineers).

Multidimensional Nanomaterials for Supercapacitors: Next Generation Energy Storage explores the cutting-edge advancements in multidimensional nanomaterials for supercapacitor applications, addressing key techniques, challenges, and future prospects in the field. The book offers a comprehensive overview of the fundamentals of supercapacitors, including electrode materials, electrolytes, charge storage mechanisms, and performance metrics. Key Features Comprehensive Coverage: 15 referenced chapters cover a wide range of topics, including graphene derivatives, quantum dots, MOFs, MXenes, and fiber-shaped supercapacitors, providing a holistic view of the field. Cutting-Edge Techniques: Covers the latest advancements in multidimensional nanomaterials for supercapacitors, providing insights into their synthesis, properties, and applications. Future Applications: Chapters explore the potential future applications of nanomaterials in energy storage devices, offering valuable insights for researchers and practitioners. Real-World Case Studies: Practical examples and case studies illustrate the application of nanomaterials in supercapacitors, enhancing understanding and applicability. Challenges and Opportunities: Highlights the challenges and limitations associated with nanomaterial-based supercapacitors, offering information into overcoming barriers and expanding possibilities for future research.

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.