TY  - GEN
T1  - Chipless RFID Systems Using Advanced Artificial Intelligence.
A1  - Arjomandi, Larry M.
A2  - Karmakar, Nemai Chandra
LA  - English
PP  - Norwood
PB  - Artech House
YR  - 2023
UL  - https://ebooks.jgu.edu.in/Record/ebsco_acadsubs_on1378393491
AB  - This book shows you how to develop a hybrid mm-wave chipless Radio Frequency Identification (RFID) system, which includes chip-less tag, reader hardware, and detection algorithm that use image processing and machine learning (ML) techniques. It provides the background and information you need to apply the concepts of AI into detection and chip-less tag signature printable on normal plastic substrates, instead of the conventional peak/nulls in the frequency tags. You’ll learn how to incorporate new AI detection techniques along with cloud computing to lower costs. You’ll also be shown a cost-effective means of image construction, which can lower detection errors. The book focuses on side-looking-aperture-radar (SLAR) with a combination of deep learning to provide a much safer means of chipless detection than the current iSAR technique, and includes extensive coverage of reader array antennas, beamforming, and MIMO. Each chapter includes practical examples of design. With its emphasis on mm-waveband and the practical side of design and engineering of the chipless tags, reader and detection algorithms, this is an excellent resource for industry engineers, design engineers and university researchers.
OP  - 237
NO  - Description based upon print version of record.
CN  - TK6570.I34
SN  - 1630819492
SN  - 9781630819491
SN  - 9781523162536
SN  - 1523162538
SN  - 9781630819484
KW  - Radio frequency identification systems.
KW  - Artificial intelligence.
KW  - Systèmes d'identification par radiofréquence.
KW  - Intelligence artificielle.
KW  - artificial intelligence.
KW  - Artificial intelligence
KW  - Radio frequency identification systems
ER  -