.db (SQLite Database)
To ensure reproducible experiments and prevent overburdening the server, we construct an SQL-based database dubbed RiPAMI (Reviews in Pattern Analysis and Machine Intelligence, pronounced as \textipa{/ri:p\ae mi/}). This database stores information related to the paper such as title, abstract, date of publication, venue, citation counts, and reference details, etc. From initial keyword selection to the final SQL-based RiPAMI snapshot, three key steps are implemented to ensure the data in RiPAMI is clean, accurate, and reliable.
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This work provides an in-depth analysis of the
Listen-Before-Talk (LBT) procedures that cellular technologies
must adhere to for operation in the unlicensed spectrum. In par-
ticular, we provide detailed insights into the 5G New Radio Un-
licensed (NR-U) standalone design according to the latest 3GPP
standard-compliant Type 1 Channel Access Procedure (CAP).
We highlight some of the challenges and propose improved
mechanisms for channel access. We carry out the performance
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Testchip measured challenge-response pairs from a non-monotonically quantized strong PUF.
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This India-specific COVID-19 tweets dataset has been curated using the large-scale Coronavirus (COVID-19) Tweets Dataset. This dataset contains tweets originating from India during the first week of each of the four phases of nationwide lockdowns initiated by the Government of India. For more information on filtering keywords, please visit the primary dataset page.
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