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Prabash Kumarasinghe

dblp:216/5556 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

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

Computer networks · 2

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
2 papers
Internet of things and sensor networks · 100%
Artificial intelligence
1 paper
Image recognition and object detection · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › wireless sensor network
environmental monitoring		 0.312017
A Machine Learning Approach for Identifying Mosquito Breeding Sites via Drone Images · SenSys 2017
Internet of things and sensor networks › environmental sensing
wildlife monitoring		 0.312017
Resource-Efficient Detection of Elephant Rumbles · SenSys 2017
Internet of things and sensor networks
wireless sensor network		 0.312017
A Machine Learning Approach for Identifying Mosquito Breeding Sites via Drone Images · SenSys 2017

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

support vector machine · 0.6machine learning · 0.6
YearPublicationVenuePosition
2017 A Machine Learning Approach for Identifying Mosquito Breeding Sites via Drone Images
abstract
Dengue is one of the deadly and fast spreading diseases in Sri Lanka. The female Aedes mosquito is the dengue vector and these mosquitoes breed in clear and non-flowing water. The Public Health Inspectors (PHIs) are tasked with detecting and eliminating such water collection areas.
Akarshani Amarasinghe, Chathura Suduwella, Charith Elvitigala, Lasith Niroshan, Rangana Jayashanka Amaraweera, Kasun Gunawardana, Prabash Kumarasinghe, Kasun De Zoysa, Chamath Keppitiyagama
 SenSys7
2017 Resource-Efficient Detection of Elephant Rumbles
abstract
The human-elephant conflict is causing significant damages to the life of human and elephants in Sri Lanka. Minimizing encounters between humans and elephants is hence crucial in alleviating the human-elephant conflict. We have earlier introduced Eloc, a cost-effective localization system that is based on infrasonic emissions from wild elephants. One of the remaining challenges is a resource-efficient method to detect the elephants' infrasonic emissions. We present our efforts on devising a support vector machine (SVM) that is able to detect elephant rumbles on Eloc nodes.
Namal Jayasuriya, Tharindu Ranathunga, Kasun Gunawardana, Chamath Silva, Prabash Kumarasinghe, Asanka P. Sayakkara, Chamath Keppitiyagama, Kasun De Zoysa, Kasun Hewage, Thiemo Voigt
 SenSys5