Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: A compact split ring resonator antenna on paper-based for UHF RFID passive tag
A Novel Compact UHF RFID Tag Antenna Designed With Series Connected Open Complementary Split Ring Resonator (OCSRR) Particles
A flexible, wideband RFID tag antenna for metallic surfaces
Compact Metamaterial-Based UHF RFID Antennas: Deformed Omega and Split-Ring Resonator Structures
The art of UHF RFID antenna design: impedance-matching and size-reduction techniques
A Compact Meander-Line UHF RFID Tag Antenna Loaded With Elements Found in Right/Left-Handed Coplanar Waveguide Structures
Design and characterization of novel paper-based inkjet-printed UHF antennas for RFID and sensing applications
Analysis and synthesis of UHF RFID antennas using the embedded T-match
A Novel Metal-Mountable Electrically Small Antenna for RFID Tag Applications With Practical Guidelines for the Antenna Design
Circularly polarized tag antenna on an AMC substrate for wearable UHF RFID applications
Human-body effects on the design of card-type UHF RFID tag antennas
Design of quadrifilar spiral antenna with integrated module for UHF RFID reader
Detection tube for small HF RFID tags, based on mutual coupling with a coil resonator
A circularly polarized planar antenna modified for passive UHF RFID
Design of a UHF RFID metal tag for long reading range using a cavity structure
Planar Broadband Tag Antenna Mounted on the Metallic Material for UHF RFID System
Planar UHF RFID Tag Antenna With Open Stub Feed for Metallic Objects
Small slot antenna for metal mountable UHF RFID tags
Optimization of silver paste printed passive UHF RFID tags
Compact square quadrifilar spiral antenna with circular polarization for UHF mobile RFID reader
Low-Profile RFID Tag Antenna Using Compact AMC Substrate for Metallic Objects
Resource Elasticity for Large-Scale Machine Learning
An Introduction to RFID Technology
Massive asymmetric virginal breast hypertrophy.
A nonlinear least-squares approach for identification of the induction motor parameters
Learning the kernel matrix via predictive low-rank approximations