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Dependable Embedded Systems [PDF]
This Open Access book introduces readers to many new techniques for enhancing and optimizing reliability in embedded systems, which have emerged particularly within the last five years.
Henkel, Jörg, Dutt, Nikil
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S.5-50In the past decade the main engine of electronic design automation has been the widespread application of ASICs (Application Specific Integrated Circuits).
Camposano, R., Wilberg, J.
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Building timing predictable embedded systems
International audienceA large class of embedded systems is distinguished from general purpose computing systems by the need to satisfy strict requirements on timing, often under constraints on available resources.
Philip Axer, Nan Guan, Jan Reineke
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Famed author Jack Ganssle has selected the very best embedded systems design material from the Newnes portfolio and compiled into this volume. The result is a book covering the gamut of embedded designfrom hardware to software to integrated embedded ...
Ganssle, Jack G., Ball, Stuart R.
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A unique feature of this open access textbook is to provide a comprehensive introduction to the fundamental knowledge in embedded systems, with applications in cyber-physical systems and the Internet of things. It starts with an introduction to the field
Marwedel, Peter
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The banking industry has been employing artificial intelligence (AI) technologies to enhance the quality of its services. More recently, AI algorithms, such as natural language understanding (NLU), have been integrated into chatbots to improve banking ...
Nádila Azevedo +9 more
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Recent advancements in Artificial Intelligence (AI), deep learning (DL), and computer vision have revolutionized various industrial processes through image classification and object detection.
Gabriella Monteiro +9 more
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Capacity-Driven Autoencoders for Communications
The autoencoder concept has fostered the reinterpretation and the design of modern communication systems. It consists of an encoder, a channel and a decoder block that modify their internal neural structure in an end-to-end learning fashion. However, the
Nunzio A. Letizia, Andrea M. Tonello
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The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms
Measurement(s) Cough Technology Type(s) Microphone Device Factor Type(s) COVID-19 status • location • age • gender • respiratory condition Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https:/
Lara Orlandic +2 more
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Anomaly detection methods applied to time series are mostly viewed as black boxes that solely provide a deterministic answer for the detected target. Without a convincing explanation, domain experts can hardly trust the detection results and must conduct
Yujiang He +3 more
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