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Low Power and Low Voltage Circuit Design with the FGMOS Transistor
Motivated by consumer demand for smaller, more portable electronic devices that offer more features and operate for longer on their existing battery packs, cutting edge electronic circuits need to be ever more power efficient. For the circuit designer, this requires an understanding of the latest low voltage and low power (LV/LP) techniques, one of the most promising of which makes use of the floating gate MOS (FGMOS) transistor.
DCIS2002
Este libro contiene las presentaciones de la XVII Conferencia de Diseño de Circuitos y Sistemas Integrados celebrado en el Palacio de la Magdalena, Santander, en noviembre de 2002. Esta Conferencia ha alcanzado un alto nivel de calidad, como consecuencia de su tradición y madurez, que lo convierte en uno de los acontecimientos más importantes para los circuitos de microelectrónica y la comunidad de diseño de sistemas en el sur de Europa. Desde su origen tiene una gran contribución de Universidades españolas, aunque hoy los autores participan desde catorce países
Foundations of Augmented Cognition
This book constitutes the refereed proceedings of the Third International Conference on Augmented Cognition, FAC 2007, held in Beijing, China, in July 2007, within the framework of the 12th International Conference on Human-Computer Interaction, HCII 2007, with 8 other thematically similar conferences. It covers general Augmented Cognition methods and techniques and discusses various Augmented Cognition applications.
Information Processing in Computer-Assisted Interventions
This book constitutes the refereed proceedings of the 5th International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2014, held in Fukuoka, Japan, on June 28, 2014. The 28 papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on planning, simulation, patient specific models for computer assisted interventions, medical robotics and surgical navigation, interventional imaging and advanced intra-op visualization, cognition, modeling and context awareness, clinical applications, systems, software, and validation.
Proceedings
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Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience
The 13th International Conference on Human–Computer Interaction, HCI Inter- tional 2009, was held in San Diego, California, USA, July 19–24, 2009, jointly with the Symposium on Human Interface (Japan) 2009, the 8th International Conference on Engineering Psychology and Cognitive Ergonomics, the 5th International Conference on Universal Access in Human–Computer Interaction, the Third International Conf- ence on Virtual and Mixed Reality, the Third International Conference on Internati- alization, Design and Global Development, the Third International Conference on Online Communities and Social Computing, the 5th International Conference on Augmented Cognition, the Second International C...
Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems
The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility. This book exposes different dimensions of applications for computational intelligence and explains its use in solving various biomedical and healthcare problems in the real world. This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to ensure high-quality data pr...
Embedded Artificial Intelligence
This book explores the role of embedded AI in revolutionizing industries such as healthcare, transportation, manufacturing, and retail. It begins by introducing the fundamentals of AI and embedded systems and specific challenges and opportunities. A key focus of this book is developing efficient and effective algorithms and models for embedded AI systems, as embedded systems have limited processing power, memory, and storage. It discusses a variety of techniques for optimizing algorithms and models for embedded systems, including hardware acceleration, model compression, and quantization. Key features: • Explores security experiments in emerging post‐CMOS technologies using AI, including...
Compressed Sensing for Magnetic Resonance Image Reconstruction
"Discusses different ways to use existing mathematical techniques to solve compressed sensing problems"--Provided by publisher.
