Ravi vinayakumar (121 resultados)

Securing the Future: Introduction to Zero Trust in Cybersecurity (SpringerBriefs in Computational Intelligence)
H L, Gururaj,M, Spoorthi,Ravi, Vinayakumar,J, Shreyas,Roy, Kumar Sekhar
Idioma: Inglés
Editorial: Springer, 2024
Serie: Libro 355 de 472 - SpringerBriefs in Applied Sciences and Technology
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Librería: Books From California, Simi Valley, CA, Estados Unidos de AmericaBooks From California
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EUR 45,54
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paperback. Condición: Very Good.

Securing the Future : Introduction to Zero Trust in Cybersecurity
H L, Gururaj; M, Spoorthi; Ravi, Vinayakumar; J, Shreyas; Roy, Kumar Sekhar
Idioma: Inglés
Editorial: Springer, 2024
Serie: Libro 355 de 472 - SpringerBriefs in Applied Sciences and Technology
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 61,46
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Condición: New.

Securing the Future : Introduction to Zero Trust in Cybersecurity
H L, Gururaj; M, Spoorthi; Ravi, Vinayakumar; J, Shreyas; Roy, Kumar Sekhar
Idioma: Inglés
Editorial: Springer, 2024
Serie: Libro 355 de 472 - SpringerBriefs in Applied Sciences and Technology
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 65,90
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Condición: As New. Unread book in perfect condition.

Securing the Future: Introduction to Zero Trust in Cybersecurity (SpringerBriefs in Computational Intelligence)
H L, Gururaj; M, Spoorthi; Ravi, Vinayakumar; J, Shreyas; Roy, Kumar Sekhar
Idioma: Inglés
Editorial: Springer, 2024
Serie: Libro 355 de 472 - SpringerBriefs in Applied Sciences and Technology
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 59,13
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Condición: New. In.

Securing the Future : Introduction to Zero Trust in Cybersecurity
H L, Gururaj; M, Spoorthi; Ravi, Vinayakumar; J, Shreyas; Roy, Kumar Sekhar
Idioma: Inglés
Editorial: Springer, 2024
Serie: Libro 355 de 472 - SpringerBriefs in Applied Sciences and Technology
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 59,11
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Condición: New.

Securing the Future : Introduction to Zero Trust in Cybersecurity
H L, Gururaj; M, Spoorthi; Ravi, Vinayakumar; J, Shreyas; Roy, Kumar Sekhar
Idioma: Inglés
Editorial: Springer, 2024
Serie: Libro 355 de 472 - SpringerBriefs in Applied Sciences and Technology
- Tapa blanda
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 66,99
Envío por EUR 17,45Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: As New. Unread book in perfect condition.

Securing the Future: Introduction to Zero Trust in Cybersecurity
H L, Gururaj; M, Spoorthi; Ravi, Vinayakumar; J, Shreyas; Roy, Kumar Sekhar
Idioma: Inglés
Editorial: Springer, 2024
Serie: Libro 355 de 472 - SpringerBriefs in Applied Sciences and Technology
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 81,96
Envío por EUR 3,43Se envía dentro de Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. 2024th edition NO-PA16APR2015-KAP.

Securing the Future: Introduction to Zero Trust in Cybersecurity
H L, Gururaj/ M, Spoorthi/ Ravi, Vinayakumar/ J, Shreyas/ Roy, Kumar Sekhar
Idioma: Inglés
Editorial: Springer-Nature New York Inc, 2024
Serie: Libro 355 de 472 - SpringerBriefs in Applied Sciences and Technology
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 82,35
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Paperback. Condición: Brand New. 100 pages. 9.25x6.10x9.21 inches. In Stock.

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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 133,32
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Condición: New.

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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 133,88
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Paperback. Condición: Brand New. 280 pages. 9.00x5.94x9.30 inches. In Stock.

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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 149,15
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Hardcover. Condición: new. Hardcover. This book explains medical image processing and analysis using deep learning algorithms to analyze medical data. It focuses on the latest achievements and developments in applying this analysis to medical imaging, clinical, and other healthcare applications.The book covers among other areas:…Image acquisition and formation.Computer-aided diagnosis.Image classification.Feature extraction.Image enhancement/segmentation.Medical image processing issues such as segmentation, visualization, registration, and navigation may seem to be distinct, yet they are all intertwined in the process of resolving clinical bottlenecks. Using deep learning algorithms, researchers were able to achieve record-breaking performance and set the bar for future research. Due to the extensive quantity of medical imaging data of CT scan, ultrasound, and MRI, there is widespread use of machine learning, specifically deep learning, to discover specific patterns on such data. Such large data is well quantified by deep learning models. Deep learning is now being utilized, customized, and particularly developed for medical image analysis, as opposed to when it was first introduced to the community. Having learned more about the techniques, researchers have come up with innovative ideas for combining artificial intelligence (AI) with neural networks to solve difficult issues like medical image reconstruction. The key features of this book are:Machine learning and deep learning applications.Medical imaging applications.Feature extraction and analysis.Medical image classification, segmentation, recognition, and registration.Medical image analysis and enhancement.Handling medical image dataset. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 146,31
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Condición: New. 1st edition NO-PA16APR2015-KAP.

Idioma: Inglés
Editorial: Springer, 2025
Serie: Libro 99 de 92 - Advanced Sciences and Technologies for Security Applications
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 142,27
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Condición: new.

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Librería: Redux Books, Grand Rapids, MI, Estados Unidos de AmericaRedux Books
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EUR 159,00
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Paperback. Condición: New. A NEW COPY but with very minor shelving/packing damage.; 100% Satisfaction Guaranteed! Ships same or next business day.

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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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EUR 145,91
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Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.

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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 152,91
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Condición: New. In.

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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 152,91
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Condición: New. In.

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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 153,35
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Condición: New.

Idioma: Inglés
Editorial: Springer, 2025
Serie: Libro 99 de 92 - Advanced Sciences and Technologies for Security Applications
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Librería: Brook Bookstore, Milano, MI, ItaliaBrook Bookstore
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EUR 137,54
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Condición: new.

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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 163,00
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Condición: New.

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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 128,80
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Hardcover. Condición: new. Hardcover. This book explains medical image processing and analysis using deep learning algorithms to analyze medical data. It focuses on the latest achievements and developments in applying this analysis to medical imaging, clinical, and other healthcare applications.The book covers among other areas:…Image acquisition and formation.Computer-aided diagnosis.Image classification.Feature extraction.Image enhancement/segmentation.Medical image processing issues such as segmentation, visualization, registration, and navigation may seem to be distinct, yet they are all intertwined in the process of resolving clinical bottlenecks. Using deep learning algorithms, researchers were able to achieve record-breaking performance and set the bar for future research. Due to the extensive quantity of medical imaging data of CT scan, ultrasound, and MRI, there is widespread use of machine learning, specifically deep learning, to discover specific patterns on such data. Such large data is well quantified by deep learning models. Deep learning is now being utilized, customized, and particularly developed for medical image analysis, as opposed to when it was first introduced to the community. Having learned more about the techniques, researchers have come up with innovative ideas for combining artificial intelligence (AI) with neural networks to solve difficult issues like medical image reconstruction. The key features of this book are:Machine learning and deep learning applications.Medical imaging applications.Feature extraction and analysis.Medical image classification, segmentation, recognition, and registration.Medical image analysis and enhancement.Handling medical image dataset. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 167,42
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Condición: New.

Idioma: Inglés
Editorial: Springer International Publishing AG, Cham, 2025
Serie: Libro 99 de 92 - Advanced Sciences and Technologies for Security Applications
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 177,06
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Hardcover. Condición: new. Hardcover. This book offers a comprehensive analysis of intersection of significant domains, including information security, 6G technology, and cybersecurity. This reference work addresses gaps in existing literature by providing insights, research findings, and personal evaluations from esteemed schol…ars in the field. Holographic-type communications (HTC), tactile Internet, connected autonomous vehicles (CAVs), unmanned aerial vehicles (UAVs), autonomous healthcare solutions, manufacturing systems, and virtual/augmented/extended reality (VR/AR/XR), along with other cutting-edge applications, will continue to advance with the advent of 6G. The advent of the 6G era has been ushered in by the rapid advancement of communication technologies, promising unprecedented applications and connectivity. As we venture into this unexplored domain, the criticality of cybersecurity resilience cannot be overstated. This book examines and assesses the emerging trends in 6G technology, with a particular focus on the intricate challenges encountered in the realm of cybersecurity. By analyzing the intricate interplay between IoT integration, AI/ML security, quantum communication, and the intricacies of the physical layer, this book endeavors to provide a comprehensive understanding of the perpetually evolving threat landscape. It is reasonable to expect that 6G, similar to its predecessors, will promote advancements in the domain of connectivity and telecommunications through the provision of increased data throughput, decreased latency, and expanded capacity. These developments will promote the development of innovative applications and services, thus increasing the importance of robust cybersecurity protocols. As 6G technology continues to proliferate, it becomes increasingly vital to ensure the security and preservation of data.The primary audience of this book is industrialists, academicians, researchers, and UG/PG students. The secondary audience consists of practitioners, cyberpolice, lawmakers, legal firms, etc. as we are also covering regulatory and ethical considerations in 6G cybersecurity. This book offers a comprehensive analysis of intersection of significant domains, including information security, 6G technology, and cybersecurity. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Idioma: Inglés
Editorial: Springer, 2025
Serie: Libro 99 de 92 - Advanced Sciences and Technologies for Security Applications
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 167,75
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Hardcover. Condición: Brand New. 270 pages. 9.26x6.11x9.49 inches. In Stock.

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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 179,83
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Condición: New.

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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 180,50
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Condición: New. 1st edition NO-PA16APR2015-KAP.

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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 161,41
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Hardcover. Condición: new. Hardcover. This book explains medical image processing and analysis using deep learning algorithms to analyze medical data. It focuses on the latest achievements and developments in applying this analysis to medical imaging, clinical, and other healthcare applications.The book covers among other areas:…Image acquisition and formation.Computer-aided diagnosis.Image classification.Feature extraction.Image enhancement/segmentation.Medical image processing issues such as segmentation, visualization, registration, and navigation may seem to be distinct, yet they are all intertwined in the process of resolving clinical bottlenecks. Using deep learning algorithms, researchers were able to achieve record-breaking performance and set the bar for future research. Due to the extensive quantity of medical imaging data of CT scan, ultrasound, and MRI, there is widespread use of machine learning, specifically deep learning, to discover specific patterns on such data. Such large data is well quantified by deep learning models. Deep learning is now being utilized, customized, and particularly developed for medical image analysis, as opposed to when it was first introduced to the community. Having learned more about the techniques, researchers have come up with innovative ideas for combining artificial intelligence (AI) with neural networks to solve difficult issues like medical image reconstruction. The key features of this book are:Machine learning and deep learning applications.Medical imaging applications.Feature extraction and analysis.Medical image classification, segmentation, recognition, and registration.Medical image analysis and enhancement.Handling medical image dataset. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Securing the Future: Introduction to Zero Trust in Cybersecurity (SpringerBriefs in Computational Intelligence)
H L, Gururaj, M, Spoorthi, Ravi, Vinayakumar, J, Shreyas, Ro
Idioma: Inglés
Editorial: Springer, 2024
Serie: Libro 355 de 472 - SpringerBriefs in Applied Sciences and Technology
- Tapa blanda
Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 165,37
Envío por EUR 29,09Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
paperback. Condición: New. New .Ships From Multiple Locations. book.

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 163,12
Envío por EUR 30,50Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains medical image processing and analysis using deep learning algorithms to analyze medical data. It focuses on the latest achievements and developments in applying this analysis to medical imaging, clinical, and other healthcare applicatio…ns.The book covers among other areas:Image acquisition and formation.Computer-aided diagnosis.Image classification.Feature extraction.Image enhancement/segmentation.Medical image processing issues such as segmentation, visualization, registration, and navigation may seem to be distinct, yet they are all intertwined in the process of resolving clinical bottlenecks. Using deep learning algorithms, researchers were able to achieve record-breaking performance and set the bar for future research. Due to the extensive quantity of medical imaging data of CT scan, ultrasound, and MRI, there is widespread use of machine learning, specifically deep learning, to discover specific patterns on such data. Such large data is well quantified by deep learning models. Deep learning is now being utilized, customized, and particularly developed for medical image analysis, as opposed to when it was first introduced to the community. Having learned more about the techniques, researchers have come up with innovative ideas for combining artificial intelligence (AI) with neural networks to solve difficult issues like medical image reconstruction.The key features of this book are:Machine learning and deep learning applications.Medical imaging applications.Feature extraction and analysis.Medical image classification, segmentation, recognition, and registration.Medical image analysis and enhancement.Handling medical image dataset.

- Tapa blanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 163,12
Envío por EUR 30,50Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics.…This book brings together the latest industrial and academic progress, research, and development efforts within the rapidly maturing health informatics ecosystem. Contributions highlight emerging data fusion topics that support prospective healthcare applications. The book also presents various technologies and concerns regarding energy aware and secure sensors and how they can reduce energy consumption in health care applications. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies. In a nutshell, this book gives a comprehensive overview of thestate-of-the-art theories and techniques for massive data handling and access in medical data and smart health in IoT, and provides useful guidelines for the design of massive Internet of Medical Things.