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010 a| 2024023580;

020 a| 9781040165065q| epub;

020 a| 9781003530459q| ebook;

020 z| 9781032855509q| hardback;

020 z| 9781032870137q| paperback;

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100 1 a| Marchisio, Alberto0| http://id.loc.gov/authorities/names/n20240559051| http://id.loc.gov/rwo/agents/n2024055905.;

245 10 a| Energy efficiency and robustness of advanced machine learning architecturesh| [electronic resource] :b| a cross-layer approach /c| Alberto Marchisio and Muhammad Shafique.;

250 a| First edition.;

260 a| Boca Raton :b| CRC Press,c| 2025.;

300 a| 1 online resource;

334 a| single unitb| mono0| http://id.loc.gov/vocabulary/issuance/mono;

353 a| bibliographyb| bibliography0| http://id.loc.gov/vocabulary/msupplcont/bibliography;

353 a| indexb| index0| http://id.loc.gov/vocabulary/msupplcont/index;

490 0 a| Chapman & Hall/CRC artificial intelligence and robotics series;

504 a| Includes bibliographical references and index.;

505 0 a| Hardware and software optimizations for capsule networks -- Adversarial security threats for DNNs and CapsNets -- Inetration and of multiple and design objectives into NAS frameworks for CapsNets and DNNs -- Efficient optimizations for spiking neural networks on neuromorphic hardware -- Security threats for SNNs on discrete and event-based data.;

506 a| Available only to authorized users.;

520 a| "Machine Learning (ML) algorithms have shown a high level of accuracy, and applications are widely used in many systems and platforms. However, developing efficient ML-based systems requires addressing three problems: energy-efficiency, robustness, and techniques that typically focus on optimizing for a single objective/have a limited set of goals"-- Provided by publisher.;

538 a| Mode of access: World Wide Web;

588 a| Description based on print version record and CIP data provided by publisher.;

650 0 a| Deep learning (Machine learning)0| http://id.loc.gov/authorities/subjects/sh2021006947;

650 0 a| Neural networks (Computer science)0| http://id.loc.gov/authorities/subjects/sh90001937;

650 0 a| Robust optimization0| http://id.loc.gov/authorities/subjects/sh2006006132;

650 0 a| Computer network architectures0| http://id.loc.gov/authorities/subjects/sh86007468;

650 0 a| Computer networksx| Energy consumption;

650 0 a| Computer networksx| Security measures0| http://id.loc.gov/authorities/subjects/sh94001277;

655 0 a| Electronic books.;

700 1 a| Shafique, Muhammad0| http://id.loc.gov/authorities/names/n20130357971| http://id.loc.gov/rwo/agents/n2013035797.;

758 1| http://id.loc.gov/resources/instances/23912272;

758 4| http://id.loc.gov/ontologies/bibframe/instanceOf1| http://id.loc.gov/resources/works/23912272;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9781003530459;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6665621-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 12/19/2025x| EBOOKz| JERESOURCE;

Energy efficiency and robustness of advanced machine learning architectures a cross-layer approach / Alberto Marchisio and Muhammad Shafique.

Author/creator	Marchisio, Alberto
Other author	Shafique, Muhammad
Format	Electronic
Edition	First edition.
Publication Info	Boca Raton : CRC Press, 2025.
Description	1 online resource
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Deep learning (Machine learning) Neural networks (Computer science) Robust optimization Computer network architectures Computer networks--Energy consumption. Computer networks--Security measures.

Series	Chapman & Hall/CRC artificial intelligence and robotics series
Contents	Hardware and software optimizations for capsule networks -- Adversarial security threats for DNNs and CapsNets -- Inetration and of multiple and design objectives into NAS frameworks for CapsNets and DNNs -- Efficient optimizations for spiking neural networks on neuromorphic hardware -- Security threats for SNNs on discrete and event-based data.
Abstract	"Machine Learning (ML) algorithms have shown a high level of accuracy, and applications are widely used in many systems and platforms. However, developing efficient ML-based systems requires addressing three problems: energy-efficiency, robustness, and techniques that typically focus on optimizing for a single objective/have a limited set of goals"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Source of description	Description based on print version record and CIP data provided by publisher.
Genre/form	Electronic books.
LCCN	2024023580
ISBN	9781040165065 epub
ISBN	9781003530459 ebook
ISBN	hardback
ISBN	paperback

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Energy efficiency and robustness of advanced machine learning architectures a cross-layer approach / Alberto Marchisio and Muhammad Shafique.

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