Deep-learning-assisted robust detection techniques for a chipless RFID sensor tag

N Rather, RBVB Simorangkir… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this article, we present a new approach for robust reading of identification (ID) and sensor
data from chipless radio frequency ID (CRFID) sensor tags. For the first time, machine …

A Design Methodology for Sensing-Ready Concentric Rings-Based Chipless RFID Tags With Effective Spectrum Use and High Coding Capacity

N Rather, JL Buckley, B O'Flynn… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
This paper introduces an innovative strategy for the development of sensing-ready
concentric rings-based chipless radio frequency identification (CRFID) tags. Our approach is …

Material Classification and Accuracy Testing Using Passive CRFID Transponder in Recycle Unit

H Anam, SM Abbas, S Mukhopadhyay… - 2023 16th …, 2023 - ieeexplore.ieee.org
Inappropriate material management in recycling chains lead to adverse effects of metals and
glass inoculation in the plastic-only recyclable units/chains. Despite multiple ways to sort out …

Machine learning approaches for EM signature analysis in chipless RFID technology

N Rather, RBVB Simorangkir… - 2024 18th European …, 2024 - ieeexplore.ieee.org
In this paper, for the first time, we provide a comprehensive review of Machine Learning (ML)
approaches in Chipless Radio Frequency Identification (CRFID) technology, which is a fast …

SpuR-A system for spectral signature recognition of chipless RFID tags using Software-Defined Radio

M Frate, RJG Rodrigues, GTS Souza… - IEEE Latin America …, 2023 - ieeexplore.ieee.org
To solve problems related to Radio Frequency Identification, as well as to develop new
technologies and applications with chipless RFID tags, this article describes the …

Application Specific Chipless RFID Tag for Wireless Sensor Networks

H Anam, U Rafique, SM Abbas… - … on Innovation and …, 2023 - ieeexplore.ieee.org
This research article is intended to provide a solution for high-cost wireless identification and
sensing applications. The paper yields application specific wireless, design-oriented battery …

[PDF][PDF] Prediction of Antenna Performance based on Scalable Data-informed Machine Learning Methods

Y Chen, V Demir, S Bhupatiraju… - Applied …, 2024 - journals.riverpublishers.com
This paper proposes a scalable architecture for predicting antenna performance using
various data-informed machine learning (DIML) methods. By utilizing the computation power …

[PDF][PDF] Deep learning assisted robust detection techniques for a chipless

N Rather, RBVB Simorangkir, J Buckley - 2023 - cora.ucc.ie
In this article, we present a new approach for robust reading of identification (ID) and sensor
data from chipless radio frequency ID (CRFID) sensor tags. For the first time, machine …

[HTML][HTML] II. DATASETS

Y Chen, V Demir, S Bhupatiraju, AZ Elsherbeni… - journals.riverpublishers.com
As one of the most critical parts of DIML, it is essential to construct corresponding datasets
feeding into the ML models with varying prediction targets. In this paper, a classical …