Electronics engineering

Il presente volume offre una trattazione chiara, agile ed essenziale del rumore elettrico, argomento considerato generalmente oscuro e specialistico, senza eccessivi approfondimenti, ben leggibile e di impiego pratico. Copre gli aspetti essenziali della matematica e della fisica del rumore, la sua rappresentazione nei circuiti e la progettazione a basso rumore. Affronta anche la problematica dell’estrazione del segnale dal rumore senza trascurare l’argomento dei suoi impieghi utili.

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This book provides a short introduction and easy-to-follow implementation steps of deep learning using Google Cloud Platform. It also includes a practical case study that highlights the utilization of Python and related libraries for running a pre-trained deep learning model.

In recent years, deep learning-based modeling approaches have been used in a wide variety of engineering domains, such as autonomous cars, intelligent robotics, computer vision, natural language process

The author is a senior scientist and lecturer (Privatdozent) at Institute of Geophysics and Extraterrestrial Physics, Technical University Braunschweig. His professional experience includes positions as Data analyst of Cluster and THEMIS mission and Co-Investigator of Magnetometer Experiment in BepiColombo mission. He has won a number of respectable awards including:

Heinrich Büssing Preis, Stiftung des Braunschweigischen Hochschulbundes zur Förderung der Wissenschaften an der Carolo W

Edward Crawley is the Ford Professor of Engineering, and a Professor of Aeronautics and Astronautics at MIT. He has served as the founding President of the Skolkovo Institute of Science and Technology (Skoltech) in Moscow, the founding Director of the MIT Gordon Engineering Leadership Program, the co-founder of the international CDIO initiative, the Director of the Cambridge (UK) - MIT Institute and the Head of the Department of