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  • C# is the latest and greatest tool for developing cutting edge applications based on Microsoft .NET

    C# is the latest and greatest tool for developing cutting edge applications based on Microsoft .NET technology. This book provides deep insight on the sensitive issues which should be taken care of while developing for .NET platform.

    標簽: applications developing Microsoft greatest

    上傳時間: 2013-11-30

    上傳用戶:xyipie

  • Short-range+Wireless+Communication

    Developers, manufacturers and marketers of products incorporating short- range radio systems are experts in their fields—security, telemetry, medical care, to name a few. Often they add a wireless interface just to eliminate wires on an existing wired product. They may adapt a wireless subsystem, which is easy to integrate electrically into their system, only to find that the range is far short of what they expected, there are frequent false alarms, or it doesn’t work at all. It is for these adapters of wireless subsystems that this book is primarily intended.

    標簽: Communication Short-range Wireless

    上傳時間: 2020-06-01

    上傳用戶:shancjb

  • RFID+Technologies+for+Internet+of+Things

    Internet of Things (IoT) [26] is a new networking paradigm for cyber-physical systems that allow physical objects to collect and exchange data. In the IoT, physical objects and cyber-agents can be sensed and controlled remotely across existing network infrastructure, which enables the integration between the physical world and computer-based systems and therefore extends the Internet into the real world. IoT can find numerous applications in smart housing, environmental monitoring, medical and health care systems, agriculture, transportation, etc. Because of its significant application potential, IoT has attracted a lot of attention from both academic research and industrial development.

    標簽: Technologies Internet Things RFID for of

    上傳時間: 2020-06-08

    上傳用戶:shancjb

  • Machine Learning Healthcare Technologies

    Much has been written concerning the manner in which healthcare is changing, with a particular emphasis on how very large quantities of data are now being routinely collected during the routine care of patients. The use of machine learning meth- ods to turn these ever-growing quantities of data into interventions that can improve patient outcomes seems as if it should be an obvious path to take. However, the field of machine learning in healthcare is still in its infancy. This book, kindly supported by the Institution of Engineering andTechnology, aims to provide a “snap- shot” of the state of current research at the interface between machine learning and healthcare.

    標簽: Technologies Healthcare Learning Machine

    上傳時間: 2020-06-10

    上傳用戶:shancjb

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