Evidence map›Paper›PMID 37220566›Full record

ArticleThe ... IEEE Annual Wireless and Microwave Technology Conference. IEEE Annual Wireless and Microwave Technology Conference2022

UHF RFID tag localization using pattern reconfigurable reader antenna.

Md Shakir Hossain, Md Abu Saleh Tajin, Kapil R Dandekar

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The ... IEEE Annual Wireless and Microwave Technology Conference. IEEE Annual Wireless and Microwave Technology Conference, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Md Shakir HossainElectrical and Computer Engineering, Drexel University, Philadelphia, PA 19104, USA.
Md Abu Saleh TajinElectrical and Computer Engineering, Drexel University, Philadelphia, PA 19104, USA.
Kapil R DandekarElectrical and Computer Engineering, Drexel University, Philadelphia, PA 19104, USA.

Funding

SCH: INT: Smart and Connected Health for Newborn Ventilation R01EB029364 · NIBIB · DREXEL UNIVERSITY · PI DANDEKAR, KAPIL · 2019 to 2023
$1.0M
NIBIB NIH HHS R01 EB029364
6 · The paper itself

Abstract

Passive ultra high frequency (UHF) radio frequency identification (RFID) tags have the potential to find ubiquitous use in indoor object tracking, localization, and contact tracing. We propose a machine learning-based method for RFID indoor localization using a pattern reconfigurable UHF RFID reader antenna array. The received signal strength indicator (RSSI) values (from 10,000 tags) recorded at the reader antenna units are used as features to evaluate the machine learning models with a train-test split of 75%-25%. The training and testing data is generated by a wireless ray tracing simulator. Five machine learning models: random forest regressor, decision tree regressor, Nu support vector regressor,

Indexed as

Indoor localizationInternet of Things (IoT)machine learningradio frequency identification (RFID)reconfigurable RFID readerRFID reader antenna

Identifiers

PMID37220566
PMCPMC10202132

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.