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This book combines semi-physical simulation technology with an
Internet of Things (IOT) application system based on novel
mathematical methods such as the Fisher matrix, artificial neural
networks, thermodynamic analysis, support vector machines, and
image processing algorithms. The dynamic testing and semi-physical
verification of the theory and application were conducted for
typical IOT systems such as RFID systems, Internet of Vehicles
systems, and two-dimensional barcode recognition systems. The
findings presented are of great scientific significance and have
wide application potential for solving bottlenecks in the
development of RFID technology and IOT engineering. The book is a
valuable resource for postgraduate students in fields such as
computer science and technology, control science and engineering,
and information science. Moreover, it is a useful reference
resource for researchers in IOT and RFID-related industries,
logistics practitioners, and system integrators.
This book combines semi-physical simulation technology with an
Internet of Things (IOT) application system based on novel
mathematical methods such as the Fisher matrix, artificial neural
networks, thermodynamic analysis, support vector machines, and
image processing algorithms. The dynamic testing and semi-physical
verification of the theory and application were conducted for
typical IOT systems such as RFID systems, Internet of Vehicles
systems, and two-dimensional barcode recognition systems. The
findings presented are of great scientific significance and have
wide application potential for solving bottlenecks in the
development of RFID technology and IOT engineering. The book is a
valuable resource for postgraduate students in fields such as
computer science and technology, control science and engineering,
and information science. Moreover, it is a useful reference
resource for researchers in IOT and RFID-related industries,
logistics practitioners, and system integrators.
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