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  • Enablers for Smart Cities

    The concept of smart cities emerged few years ago as a new vision for urban development that aims to integrate multiple information and communication technology (ICT) solutions in a secure fashion to manage a city’s assets. Modern ICT infrastructure and e-services should fuel sustainable growth and quality of life, enabled by a wise and participative management of natural resources to be ensured by citizens and government. The need to build smart cities became a requirement that relies on urban development that should take charge of the new infrastructures for smart cities (broadband infrastructures, wireless sensor networks, Internet-based networked applications, open data and open platforms) and provide various smart services and enablers in various domains including healthcare, energy, education, environmental management, transportation, mobility and public safety.

    标签: Enablers Cities Smart for

    上传时间: 2020-05-25

    上传用户:shancjb

  • Densely Connected Convolutional Networks

    Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output. In this paper, we embrace this observation and introduce the Dense Convo- lutional Network (DenseNet), which connects each layer to every other layer in a feed-forward fashion.

    标签: Convolutional Connected Networks Densely

    上传时间: 2020-06-10

    上传用户:shancjb

  • Digital and Statistical Signal Processing

    The goal of this textbook is to support the teaching of digital and statistical signal processing in higher education. Particular attention is paid to the presentation of the fun- damental theory; key topics are outlined in a comprehensible way, and all areas of the subject are discussed in a fashion that aims at simplification without sacrificing accuracy.

    标签: Statistical Processing Digital Signal and

    上传时间: 2020-06-10

    上传用户:shancjb