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Commercial Biosensors and Their Applications: Clinical, Food, and Beyond offers professionals an in-depth look at some of the most significant applications of commercially available biosensor-based instrumentation in the clinical, food quality control, bioprocess monitoring, and bio threat fields. Featuring contributions by an international team of scientists, this book provides readers with an unparalleled opportunity to see how their colleagues around the world are using these powerful tools. This book is an indispensable addition to the reference libraries of biosensor technologists, analytical chemists, clinical chemists, biochemists, physicians, medical doctors, engineers, and clinical biochemists. The book discusses the need for portable, rapid, and smart biosensing devices and their use as cost-effective, in situ, real-time analytical tools in a variety of fields.

Biological techniques --- Biotechnology --- Biosensors. --- Biosensing Techniques.

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Signal processing --- Digital techniques

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This book covers the technology of digital image processing in various fields with big data and their applications. Readers will understand various technologies and strategies used in digital image processing as well as handling big data, using machine-learning techniques. This book will help to improve the skills of students and researchers in such fieldsas engineering, agriculture, and medical imaging. There is a need to be able to understand and analyse the latest developments of digital image technology. As such, this book will cover: Applications such as biomedical science and biometric image processing, content-based image retrieval, remote sensing, pattern recognition, shape and texture analysis New concepts in color interpolation to produce the full color from the sub-pattern bare pattern color prevalent in today's digital cameras and other imaging devices Image compression standards that are needed to serve diverse applications Applications of remote sensing, medical science, traffic management, education, innovation, and analysis in agricultural design and image processing Both soft and hard computing approaches at great length in relation to major image processing tasks The direction and development of current and future research in many areas of image processing A comprehensive bibliography for additional research (integrated within the framework of the book) This book focuses not only on theoretical and practical knowledge in the field but also on the traditional and latest tools and techniques adopted in image processing and data science. It also provides an indispensable guide to a wide range of basic and advanced techniques in the fields of image processing and data science.

Image processing --- Digital techniques.

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Agricultural techniques --- Plant husbandry

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Imaging and analysis are widely involved in various research fields, including biomedical applications, medical imaging and diagnosis, computer vision, autonomous driving, and robot controls. Imaging and analysis are now facing big changes regarding intelligence, due to the breakthroughs of artificial intelligence techniques, including deep learning. Many difficulties in image generation, reconstruction, de-noising skills, artifact removal, segmentation, detection, and control tasks are being overcome with the help of advanced artificial intelligence approaches. This Special Issue focuses on the latest developments of learning-based intelligent imaging techniques and subsequent analyses, which include photographic imaging, medical imaging, detection, segmentation, medical diagnosis, computer vision, and vision-based robot control. These latest technological developments will be shared through this Special Issue for the various researchers who are involved with imaging itself, or are using image data and analysis for their own specific purposes.

Image processing --- Digital techniques.