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Babatunde Adegoke

dblp:279/5554 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

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.

Computer networks
1 paper
Internet of things and sensor networks · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Smart cities and intelligent transportation · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
iot applications
0.412020
Design of an IoT-based water flow monitoring system · MobiCom 2020
Smart cities and intelligent transportation › urban infrastructure
urban infrastructure monitoring
0.112020
Design of an IoT-based water flow monitoring system · MobiCom 2020

Methods — techniques the papers use, named apart from their topics

iot sensing · 0.9
YearPublicationVenuePosition
2020 Design of an IoT-based water flow monitoring system
abstract
In this paper, we present the design of a low-cost IoT based approach to monitor the amount of water dispensed at communal clean water collection nodes called Water Filtration Plants. The design of our system caters to the limitations of low-resource settings, such as brown-outs, power surges, data connectivity issues, while our data processing methodology caters to the limitations inherent in the use of low-cost hardware installed in our deployment. Our actionable insights help the water utility of a dense Urban city in Pakistan improve the quality of service of providing clean drinking water to its residents.
Zill Ullah Khan, Umair Anwar, Sabah Pirani, Faisal M. Lalani, Babatunde Adegoke, Tauseef Tauqeer, Mustafa Naseem
MobiCom5