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AI for Big Data-Based Engineering Applications from Security Perspectives
Da: PBShop.store US, Wood Dale, IL, U.S.A.
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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AI for Big Data-Based Engineering Applications from Security Perspectives
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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EUR 54,53
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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AI for big data based engineering applications from the security perspectives
Da: Majestic Books, Hounslow, Regno Unito
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EUR 60,72
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AI for Big Data-Based Engineering Applications from Security Perspectives (Paperback)
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032136146 ISBN 13: 9781032136141
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Artificial intelligence (AI), machine learning, and advanced electronic circuits involve learning from every data input and using those inputs to generate new rules for future business analytics. AI and machine learning are now giving us new opportunities to use big data that we already had, as well as unleash a whole lot of new use cases with new data types. With the increasing use of AI dealing with highly sensitive information such as healthcare, adequate security measures are required to securely store and transmit this information. This book provides a broader coverage of the basic aspects of advanced circuits design and applications.AI for Big Data-Based Engineering Applications from Security Perspectives is an integrated source that aims at understanding the basic concepts associated with the security of advanced circuits. The content includes theoretical frameworks and recent empirical findings in the field to understand the associated principles, key challenges, and recent real-time applications of advanced circuits, AI, and big data security. It illustrates the notions, models, and terminologies that are widely used in the area of Very Large Scale Integration (VLSI) circuits, security, identifies the existing security issues in the field, and evaluates the underlying factors that influence system security. This work emphasizes the idea of understanding the motivation behind advanced circuit design to establish the AI interface and to mitigate security attacks in a better way for big data. This book also outlines exciting areas of future research where already existing methodologies can be implemented. This material is suitable for students, researchers, and professionals with research interest in AI for big databased engineering applications, faculty members across universities, and software developers. This book emphasizes the idea of understanding the motivation of the advanced circuits design to establish the AI interface and to mitigate the security attacks in a better way for big data. It is for students, researchers, and professionals, faculty members and software developers who wish to carry out further research. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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AI for Big Data-Based Engineering Applications from Security Perspectives
Editore: Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032136146 ISBN 13: 9781032136141
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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EUR 71,75
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Aggiungi al carrelloPaperback. Condizione: New. Artificial intelligence (AI), machine learning, and advanced electronic circuits involve learning from every data input and using those inputs to generate new rules for future business analytics. AI and machine learning are now giving us new opportunities to use big data that we already had, as well as unleash a whole lot of new use cases with new data types. With the increasing use of AI dealing with highly sensitive information such as healthcare, adequate security measures are required to securely store and transmit this information. This book provides a broader coverage of the basic aspects of advanced circuits design and applications.AI for Big Data-Based Engineering Applications from Security Perspectives is an integrated source that aims at understanding the basic concepts associated with the security of advanced circuits. The content includes theoretical frameworks and recent empirical findings in the field to understand the associated principles, key challenges, and recent real-time applications of advanced circuits, AI, and big data security. It illustrates the notions, models, and terminologies that are widely used in the area of Very Large Scale Integration (VLSI) circuits, security, identifies the existing security issues in the field, and evaluates the underlying factors that influence system security. This work emphasizes the idea of understanding the motivation behind advanced circuit design to establish the AI interface and to mitigate security attacks in a better way for big data. This book also outlines exciting areas of future research where already existing methodologies can be implemented. This material is suitable for students, researchers, and professionals with research interest in AI for big data-based engineering applications, faculty members across universities, and software developers.
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AI for Big Data-Based Engineering Applications from Security Perspectives
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 58,09
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AI for Big Data-Based Engineering Applications from Security Perspectives
Da: Chiron Media, Wallingford, Regno Unito
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EUR 54,62
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Aggiungi al carrellopaperback. Condizione: New.
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Root Fracture
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6203042005 ISBN 13: 9786203042009
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
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AI for Big Data-Based Engineering Applications from Security Perspectives
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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EUR 57,59
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Ai for Big Data-based Engineering Applications from Security Perspectives
Da: Revaluation Books, Exeter, Regno Unito
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EUR 66,76
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Aggiungi al carrelloPaperback. Condizione: Brand New. 266 pages. 9.18x6.12x9.21 inches. In Stock.
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AI for Big Data-Based Engineering Applications from Security Perspectives
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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EUR 66,16
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AI for big data based engineering applications from the security perspectives
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. pages cm First edition Includes bibliographical references.
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AI for big data based engineering applications from the security perspectives
Da: Biblios, Frankfurt am main, HESSE, Germania
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EUR 69,53
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Phonetics In Dentistry: Dental Phonic - Comprehend the Profound Knowledge of Phonetics in Dentistry
Editore: LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204210572 ISBN 13: 9786204210575
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New.
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AI for Big Data-Based Engineering Applications from Security Perspectives
Da: Kennys Bookstore, Olney, MD, U.S.A.
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Condizione: New.
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Ai for Big Data-based Engineering Applications from Security Perspectives
Da: Revaluation Books, Exeter, Regno Unito
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EUR 84,58
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Aggiungi al carrelloPaperback. Condizione: Brand New. 266 pages. 9.18x6.12x9.21 inches. In Stock.
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EUR 51,34
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FRACCIÓN DE LA RAÍZ
Editore: Ediciones Nuestro Conocimiento, 2021
ISBN 10: 6203350486 ISBN 13: 9786203350487
Lingua: Spagnolo
EUR 37,23
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Impact of Spacer Engineering on Performance of Junctionless Transistor
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139455561 ISBN 13: 9786139455560
Lingua: Inglese
AffareEUR 17,45
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | The scaling of traditional planar CMOS devices is becoming difficult due to increasing gate leakage and subthreshold leakage. Multigate FETs have been proposed to overcome the limitations associated with the scaling of traditional CMOS devices below 100nm region. The multiple electrically coupled gates and the thin silicon body suppress the short-channel effects, thereby lowering the subthreshold leakage current in a multi-gate MOSFET. However, fabrication complexity increases for inversion mode (IM) FinFET devices due to ultra-steep doping profiles requirement. Junctionless transistor (JLT) overcomes the limitations associated with the creation of ultra-steep doping profiles during fabrication and short channel effects. In order to further reduce the SCEs, spacers at the both sides of gate are used that minimizes the leakage current. In this proposed work, JLT is designed with the use of spacer engineering i.e. changing the Lext, spacer¿s proportion as well as the dielectric values (¿) of spacer material and its performance are evaluated from device characteristics using TCAD software tool.
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Impact of Spacer Engineering on Performance of Junctionless Transistor
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139455561 ISBN 13: 9786139455560
Lingua: Inglese
AffareEUR 17,45
EUR 105,00 shipping
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The scaling of traditional planar CMOS devices is becoming difficult due to increasing gate leakage and subthreshold leakage. Multigate FETs have been proposed to overcome the limitations associated with the scaling of traditional CMOS devices below 100nm region. The multiple electrically coupled gates and the thin silicon body suppress the short-channel effects, thereby lowering the subthreshold leakage current in a multi-gate MOSFET. However, fabrication complexity increases for inversion mode (IM) FinFET devices due to ultra-steep doping profiles requirement. Junctionless transistor (JLT) overcomes the limitations associated with the creation of ultra-steep doping profiles during fabrication and short channel effects. In order to further reduce the SCEs, spacers at the both sides of gate are used that minimizes the leakage current. In this proposed work, JLT is designed with the use of spacer engineering i.e. changing the Lext, spacer¿s proportion as well as the dielectric values (¿) of spacer material and its performance are evaluated from device characteristics using TCAD software tool.
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AI for Big Data-Based Engineering Applications from Security Perspectives
Editore: Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032136146 ISBN 13: 9781032136141
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 66,84
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Aggiungi al carrelloPaperback. Condizione: New. Artificial intelligence (AI), machine learning, and advanced electronic circuits involve learning from every data input and using those inputs to generate new rules for future business analytics. AI and machine learning are now giving us new opportunities to use big data that we already had, as well as unleash a whole lot of new use cases with new data types. With the increasing use of AI dealing with highly sensitive information such as healthcare, adequate security measures are required to securely store and transmit this information. This book provides a broader coverage of the basic aspects of advanced circuits design and applications.AI for Big Data-Based Engineering Applications from Security Perspectives is an integrated source that aims at understanding the basic concepts associated with the security of advanced circuits. The content includes theoretical frameworks and recent empirical findings in the field to understand the associated principles, key challenges, and recent real-time applications of advanced circuits, AI, and big data security. It illustrates the notions, models, and terminologies that are widely used in the area of Very Large Scale Integration (VLSI) circuits, security, identifies the existing security issues in the field, and evaluates the underlying factors that influence system security. This work emphasizes the idea of understanding the motivation behind advanced circuit design to establish the AI interface and to mitigate security attacks in a better way for big data. This book also outlines exciting areas of future research where already existing methodologies can be implemented. This material is suitable for students, researchers, and professionals with research interest in AI for big data-based engineering applications, faculty members across universities, and software developers.
-
EUR 71,20
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. AI for Big Data-Based Engineering Applications from Security Perspectives | Balwinder Raj (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | CRC Press | EAN 9781032136141 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Ai for Big Data Based Engineering Applications from the Security Perspectives
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Ai for Big Data Based Engineering Applications from the Security Perspectives
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: New.
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AI for Big Data-Based Engineering Applications from Security Perspectives
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New.
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AI for Big Data-Based Engineering Applications from Security Perspectives
Da: Majestic Books, Hounslow, Regno Unito
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EUR 155,93
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Ai for Big Data Based Engineering Applications from the Security Perspectives
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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AI for Big Data-Based Engineering Applications from Security Perspectives
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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EUR 156,30
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 185.
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Ai for Big Data Based Engineering Applications from the Security Perspectives
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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