عنوان المقالة:خوارزميات التعلم الآلي للعمليات الموزعة في إنترنت الأشياء. Machine learning algorithms for distributed operations in internet of things IoT
Qusay Abdullah Abed, Mohammed Thajeel Abdullah, Huda Jalil Dikhil
الملخص الانجليزي
Generally, the things that have the great role in facilitating the emergence of internet-connected sensory devices can be embodied in the developments that happen in the sphere of software, hardware, and communication technologies. The internet-connected sensory devices present perceptions and measurements of data from the real world. It is suggested that nearly through 2020, the total use of internet-connected devices may reach to 25 to 50 billion. Actually, the relation between technologies and the volume of data being published is kept in one line. That is, if there is growth in the technologies, the volume of the data will be increased. Such technology, i.e. internet-connected devices, can be called as Internet of Things (IoT). Its role is to connect the real world with the cyber one. Furthermore, generating great data with velocity as its main characteristic will help in increasing the volume of IoT. To develop smart IoT applications, one can use such intelligent processing and analyzing such big data.
قصي عبدالله عبد | Qusay Abdullah Abed | 3003