Energy Efficiency and Robustness of Advanced Machine Learning Architectures

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 fo...

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Xehetasun bibliografikoak

Egile Nagusiak:	Marchisio, Alberto, Shafique, Muhammad
Formatua:	Online
Hizkuntza:	ingelesa
Argitaratua:	Taylor & Francis 2025
Gaiak:	AI Cybersecurity Deep Learning Edge Computing Neural Networks Processing Element thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering::TJFM1 Robotics thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBD Technical design thema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics::PHDY Energy thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
Sarrera elektronikoa:	ONIX_20250310_9781040165034_9
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!