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Contactless Healthcare Facilitation and Commodity Delivery Management During Covid 19 Pandemic, Chaurasia Mousmi Ajay, Mozar Stefan


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Цена: 13974.00р.
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Автор: Chaurasia Mousmi Ajay, Mozar Stefan
Название:  Contactless Healthcare Facilitation and Commodity Delivery Management During Covid 19 Pandemic
ISBN: 9789811654107
Издательство: Springer
Классификация:



ISBN-10: 9811654107
Обложка/Формат: Hardcover
Страницы: 240
Вес: 0.42 кг.
Дата издания: 30.10.2021
Серия: Advanced technologies and societal change
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 61 illustrations, color; 12 illustrations, black and white; viii, 162 p. 73 illus., 61 illus. in color.
Размер: 23.39 x 15.60 x 1.12 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This book offers concepts related to communication engineering principles to fight the current Covid situation, by developing contactless need-based solutions. COVID-19, a global pandemic makes us rethink how governments, organizations, and societies around the world can work with minimum or without physical contact. Technologies like artificial intelligence and big data are playing an essential role in responding to the COVID-19 pandemic. This book is a combination of chapters related to imaging and detective technologies used by the experts to fight the COVID-19 pandemic and a combination of interesting content covering the need of hour solutions generated through cutting edge technologies. In the absence of a proper medicine or vaccine, it is quite evident that nutrition plays an important role in the quick recovery of covid patients which must be very carefully planned with proper diagnostics. Data analysis and X-Ray/CT Image analysis by next-generation techniques like deep sensing, machine learning is interesting and useful for research and applied healthcare professionals. Research findings with a focus on diagnostics and reports generated through important data analysis in the book are quite useful and can be referred to by researchers and professionals working in the area of cutting-edge technologies against COVID 19.
Дополнительное описание: Detection of Coronavirus from Chest X-ray images using 2D Convolutional Neural Network.- Interpretation Of COVID 19 CT Scans.- Deep Learning-Based Prediction Of nCOVID-19 Disease Using Chest X-Ray Images (Cxris).- Explainable Deep Learning Through Grad-Ca



Contactless 3D Fingerprint Identification

Автор: Ajay Kumar
Название: Contactless 3D Fingerprint Identification
ISBN: 3030098079 ISBN-13(EAN): 9783030098070
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This important text/reference presents the first dedicated review of techniques for contactless 3D fingerprint identification, including novel and previously unpublished research. The text provides a systematic introduction to 3D fingerprint identification, covering the latest advancements in contactless 2D and 3D sensing technologies, and detailed discussions on each key aspect in the development of an effective 3D fingerprint identification system.Topics and features: introduces the key concepts and trends in the acquisition and identification of fingerprint images, and a range of 3D fingerprint imaging techniques; proposes a low-cost method for online 3D fingerprint image acquisition, and an efficient 3D fingerprint imaging approach using coloured photometric stereo; describes pre-processing operations on point cloud 3D fingerprint data, and explains the specialized operations for reconstructing 3D fingerprints from live finger scans; examines the representation of minutiae in 3D space, providing details on recovering these features from point cloud data, and on matching such 3D minutiae templates; reviews various 3D fingerprint matching methods, including binary surface code-based approaches and a tetrahedron-based matching approach; discusses the uniqueness of 3D fingerprints, evaluating the benefits of employing 3D fingerprint identification over conventional 2D fingerprint techniques.This unique work is a must-read for all researchers seeking to make further advances in this area, towards the exciting opportunities afforded by contactless 3D fingerprint identification for improving the hygiene, user convenience, and matching accuracy of fingerprint biometric technologies.

Contactless 3D Fingerprint Identification

Автор: Ajay Kumar
Название: Contactless 3D Fingerprint Identification
ISBN: 3319676806 ISBN-13(EAN): 9783319676807
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This important text/reference presents the first dedicated review of techniques for contactless 3D fingerprint identification, including novel and previously unpublished research. The text provides a systematic introduction to 3D fingerprint identification, covering the latest advancements in contactless 2D and 3D sensing technologies, and detailed discussions on each key aspect in the development of an effective 3D fingerprint identification system.Topics and features: introduces the key concepts and trends in the acquisition and identification of fingerprint images, and a range of 3D fingerprint imaging techniques; proposes a low-cost method for online 3D fingerprint image acquisition, and an efficient 3D fingerprint imaging approach using coloured photometric stereo; describes pre-processing operations on point cloud 3D fingerprint data, and explains the specialized operations for reconstructing 3D fingerprints from live finger scans; examines the representation of minutiae in 3D space, providing details on recovering these features from point cloud data, and on matching such 3D minutiae templates; reviews various 3D fingerprint matching methods, including binary surface code-based approaches and a tetrahedron-based matching approach; discusses the uniqueness of 3D fingerprints, evaluating the benefits of employing 3D fingerprint identification over conventional 2D fingerprint techniques.This unique work is a must-read for all researchers seeking to make further advances in this area, towards the exciting opportunities afforded by contactless 3D fingerprint identification for improving the hygiene, user convenience, and matching accuracy of fingerprint biometric technologies.


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