Download or read book Micro and Nanotechnology Sensors Systems and Applications VIII written by Thomas George and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Micro and Nanotechnology Sensors Systems and Applications VIII written by Thomas F. George and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Micro and Nanotechnology Sensors Systems and Applications XII written by Thomas F. George and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Micro and Nanotechnology Sensors Systems and Applications V written by Thomas F. George and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of SPIE offer access to the latest innovations in research and technology and are among the most cited references in patent literature.
Download or read book Micro and Nanotechnology Sensors Systems and Applications IV written by Thomas George and published by . This book was released on 2012-05-02 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes Proceedings Vol. 7821
Download or read book Micro and Nanotechnology Sensors Systems and Applications IX written by Thomas George and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Micro and Nanotechnology Sensors Systems and Applications written by Thomas F. George and published by Society of Photo Optical. This book was released on 2009 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes Proceedings Vol. 7821
Download or read book Micro and Nanotechnology Sensors Systems and Applications III written by Thomas George and published by SPIE-International Society for Optical Engineering. This book was released on 2011 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes Proceedings Vol. 7821
Download or read book Sensors Micro and Nanosensor Technology written by Wolfgang Göpel and published by John Wiley & Sons. This book was released on 2008-07-11 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensors is the first self-contained series to deal with the whole area of sensors. It describes general aspects, technical and physical fundamentals, construction, function, applications and developments of the various types of sensors. This final volume of the series uncovers trends in sensor technology and gives a comprehensive overview of the sensor market. The use of sensors in microsystems and in vacuum microelectronic as well as in acoustic wave devices is discussed. Present and emerging applications of sensors in aerospace, environmental, automotive, and medical industries, among others, are described. This volume is an indispensable reference work for both specialists and newcomers, researchers and developers
Download or read book Micro and Nanotechnology Sensors Systems and Applications X written by Thomas George and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Micro and Nanotechnology Sensors Systems and Applications XI written by Thomas F. George and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of Research and Applications in Artificial Intelligence written by Indrajit Pan and published by Springer Nature. This book was released on 2021-06-10 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the recent research trends and upcoming applications based on artificial intelligence. It includes best selected research papers presented at the International Conference on Research and Applications in Artificial Intelligence (RAAI 2020), organized by Department of Information Technology, RCC Institute of Information technology, Kolkata, West Bengal, India during 19 – 20, December, 2020. Many versatile fields of artificial intelligence are categorically addressed through different chapters of this book. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in these important areas.
Download or read book Molecular Sensors and Nanodevices written by John X. J. Zhang and published by Academic Press. This book was released on 2018-11-19 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Molecular Sensors and Nanodevices: Principles, Designs and Applications in Biomedical Engineering, Second Edition is designed to be used as a foundational text, aimed at graduates, advanced undergraduates, early-career engineers and clinicians. The book presents the essential principles of molecular sensors, including theories, fabrication techniques and reviews. In addition, important devices and recently, highly-cited research outcomes are also cited. This differentiates the book from other titles on the market whose primary focus is more research-oriented and aimed at more of a niche market. Covers the fundamental principles of device engineering and molecular sensing, sensor theories and applications in biomedical science and engineering Introduces nano/micro fabrication techniques, including MEMS, bioMEMS, microTAS and nanomaterials science that are essential in the miniaturization of versatile molecular sensors Explores applications of nanomaterials and biomaterials, including proteins, DNAs, nanoparticles, quantum dots, nanotubes/wires and graphene in biomedicine
Download or read book Micro and Nanotechnology Enabled Applications for Portable Miniaturized Analytical Systems written by Sabu Thomas and published by Elsevier. This book was released on 2021-10-12 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Micro- and Nanotechnology Enabled Applications for Portable Miniaturized Analytical Systems outlines the basic principles of miniaturized analytical devices, such as spectrometric, separation, imaging and electrochemical miniaturized instruments. Concepts such as smartphone-enabled miniaturized detection systems and micro/nanomachines are also reviewed. Subsequent chapters explore the emerging application of these mobile devices for miniaturized analysis in various fields, including medicine and biomedicine, environmental chemistry, food chemistry, and forensic chemistry. This is an important reference source for materials scientists and engineers wanting to understand how miniaturization techniques are being used to create a range of efficient, sustainable electronic and optical devices. Miniaturization describes the concept of manufacturing increasingly smaller mechanical, optical, and electronic products and devices. These smaller instruments can be used to produce micro- and nanoscale components required for analytical procedures. A variety of micro/nanoscale materials have been synthesized and used in analytical procedures, such as sensing materials, sorbents, adsorbents, catalysts, and reactors. The miniaturization of analytical instruments can be applied to the different steps of analytical procedures, such as sample preparation, analytical separation, and detection, reducing the total cost of manufacturing the instruments and the needed reagents and organic solvents. Outlines how miniaturization techniques can be used to create new optical and electronic micro- and nanodevices Explores major application areas, including biomedicine, environmental science and security Assesses the major challenges of using miniaturization techniques
Download or read book Deep Learning For Eeg based Brain computer Interfaces Representations Algorithms And Applications written by Xiang Zhang and published by World Scientific. This book was released on 2021-09-14 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for EEG-Based Brain-Computer Interfaces is an exciting book that describes how emerging deep learning improves the future development of Brain-Computer Interfaces (BCI) in terms of representations, algorithms and applications. BCI bridges humanity's neural world and the physical world by decoding an individuals' brain signals into commands recognizable by computer devices.This book presents a highly comprehensive summary of commonly-used brain signals; a systematic introduction of around 12 subcategories of deep learning models; a mind-expanding summary of 200+ state-of-the-art studies adopting deep learning in BCI areas; an overview of a number of BCI applications and how deep learning contributes, along with 31 public BCI data sets. The authors also introduce a set of novel deep learning algorithms aimed at current BCI challenges such as robust representation learning, cross-scenario classification, and semi-supervised learning. Various real-world deep learning-based BCI applications are proposed and some prototypes are presented. The work contained within proposes effective and efficient models which will provide inspiration for people in academia and industry who work on BCI.Related Link(s)
Download or read book Advances in Guidance Navigation and Control written by Liang Yan and published by Springer Nature. This book was released on 2021-11-12 with total page 5416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features the latest theoretical results and techniques in the field of guidance, navigation, and control (GNC) of vehicles and aircraft. It covers a range of topics, including, but not limited to, intelligent computing communication and control; new methods of navigation, estimation, and tracking; control of multiple moving objects; manned and autonomous unmanned systems; guidance, navigation, and control of miniature aircraft; and sensor systems for guidance, navigation, and control. Presenting recent advances in the form of illustrations, tables, and text, it also provides detailed information of a number of the studies, to offer readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the development of GNC, making it a valuable resource for both beginners and researchers wanting to further their understanding of guidance, navigation, and control.
Download or read book Fundamentals and Methods of Machine and Deep Learning written by Pradeep Singh and published by John Wiley & Sons. This book was released on 2022-03-02 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNING The book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. Over the past two decades, the field of machine learning and its subfield deep learning have played a main role in software applications development. Also, in recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field. The goal of this book is to present a??practical approach by explaining the concepts of machine learning and deep learning algorithms with applications. Supervised machine learning algorithms, ensemble machine learning algorithms, feature selection, deep learning techniques, and their applications are discussed. Also included in the eighteen chapters is unique information which provides a clear understanding of concepts by using algorithms and case studies illustrated with applications of machine learning and deep learning in different domains, including disease prediction, software defect prediction, online television analysis, medical image processing, etc. Each of the chapters briefly described below provides both a chosen approach and its implementation. Audience Researchers and engineers in artificial intelligence, computer scientists as well as software developers.
