Demo Data from VLDB 2026 / reviewers in the wild / expert
C. Viven Rajendra
dblp:08/8396
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Smart cities and intelligent transportation · 100% | |
| Computer networks
1 paper |
Wireless sensing and localization · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Smart cities and intelligent transportation
traffic estimation |
0.1 | 1 | 2010 | Road traffic estimation using in-situ acoustic sensing · SIGCOMM 2010 |
Wireless sensing and localization
acoustic sensing |
0.0 | 1 | 2010 | Road traffic estimation using in-situ acoustic sensing · SIGCOMM 2010 |
Methods — techniques the papers use, named apart from their topics
threshold-based classification · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Road traffic estimation using in-situ acoustic sensingabstractIn this paper, we explore the efficacy of curb-side acoustic sensing to estimate road traffic conditions. We formulated a set of hypotheses which attempted to correlate traffic conditions with the ambient traffic noise. We present the evaluation of our hypotheses under various traffic conditions. Our threshold-based-classification yields 70-90% accuracy in distinguishing congested from free-flowing traffic. C. Viven Rajendra, Purushottam Kulkarni |
SIGCOMM | 1 |