Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Manoop Talasila"'
Publikováno v:
Proceedings of the Twentieth ACM Conference on Embedded Networked Sensor Systems.
Publikováno v:
Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning.
Autor:
Xiaopeng Jiang, Shuai Zhao, Guy Jacobson, Rittwik Jana, Wen-Ling Hsu, Manoop Talasila, Syed Anwar Aftab, Yi Chen, Cristian Borcea
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Autor:
Cristian Borcea, Xiaopeng Jiang, Manoop Talasila, Raif M. Rustamov, Yi Chen, Guy Jacobson, Wen-Ling Hsu, Rittwik Jana, Shuai Zhao, Syed Anwar Aftab
Publikováno v:
SECON
Cellular traffic prediction enables operators to adapt to traffic demand in real-time for improving network resource utilization and user experience. To predict cellular traffic, previous studies either applied Recurrent Neural Networks (RNN) at indi
Publikováno v:
IEEE Pervasive Computing. 15:68-77
This article presents results and lessons learned from two user studies on crowdsensing incentives--specifically, on mobile gaming and micropayments. The analysis of the results suggests that gaming is a cost-effective solution for uniform area cover
Publikováno v:
ICMLA
Applying Machine Learning (ML) to business applications for automation usually faces difficulties when integrating diverse ML dependencies and services, mainly because of the lack of a common ML framework. In most cases, the ML models are developed f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c26c8b898f241116e4b8b850f54fb19
http://arxiv.org/abs/1810.07159
http://arxiv.org/abs/1810.07159
Publikováno v:
Pervasive and Mobile Computing. 17:43-62
Third-party location-based services are independent of wireless carriers and receive the user location from mobile devices GPS. A major problem in this context is how to prevent service abuse by malicious users who submit false locations by tampering
Mobile crowdsensing is a technology that allows large scale, cost-effective sensing of the physical world. In mobile crowdsensing, mobile personal devices such as smart phones or smart watches come equipped with a variety of sensors that can be lever
Publikováno v:
International Journal of Business Data Communications and Networking. 9:65-85
People-centric sensing with smart phones can be used for large scale sensing of the physical world at low cost by leveraging the available sensors on the phones. However, the sensed data submitted by participants is not always reliable as they can su