This paper introduces an innovative strategy for the development of sensing-ready concentric rings-based chipless radio frequency identification (CRFID) tags. Our approach is …
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 …
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 …
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 …
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 …
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 …
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 …
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 …