Zobrazeno 1 - 10
of 157
pro vyhledávání: '"Shivakant Mishra"'
Publikováno v:
Future Internet, Vol 16, Iss 8, p 296 (2024)
Smart agriculture stands as a promising domain for IoT-enabled technologies, with the potential to elevate crop quality, quantity, and operational efficiency. However, implementing a smart agriculture system encounters challenges such as the high lat
Externí odkaz:
https://doaj.org/article/4b9f69f7741843c7a3a384c85beeca42
Autor:
Khaled Alanezi, Shivakant Mishra
Publikováno v:
IEEE Access, Vol 10, Pp 90034-90044 (2022)
Latency sensitive IoT (Internet of Things) applications at the edge are designed using a microservice-based architecture. This architecture is comprised of a set of microservices, each implementing a simple functionality with clearly-defined interfac
Externí odkaz:
https://doaj.org/article/49d34422681b4d77958ab553f0b21462
Autor:
Shaosong Li, Shivakant Mishra
Publikováno v:
EAI Endorsed Transactions on Energy Web, Vol 2, Iss 5, Pp 1-10 (2015)
Increased power consumption is a critical concern for smartphone users. While multi-core processors in smartphones have already emerged in market, current applications are yet to take full advantage of this new architecture, particularly in the area
Externí odkaz:
https://doaj.org/article/4db11f0a2eae499dbd82eb11fbf981ee
Publikováno v:
IEEE Transactions on Games. 14:153-160
In the free online game industry, churn prediction is an important research topic. Reducing the churn rate of a game significantly helps with the success of the game. Churn prediction helps a game operator identify possible churning players and keep
Publikováno v:
2023 IEEE Topical Conference on Wireless Sensors and Sensor Networks.
Autor:
Omar Hammad, Shivakant Mishra
Publikováno v:
2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
Autor:
Upasana Dutta, Richard Han, Qin Lv, Shivakant Mishra, Rhett Hanscom, Tamara Lehman, Jason Shuo Zhang
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 5:1-24
Social media platforms have been exploited to conduct election interference in recent years. In particular, the Russian-backed Internet Research Agency (IRA) has been identified as a key source of misinformation spread on Twitter prior to the 2016 U.
Autor:
Srihaasa Pidikiti, Jason Shuo Zhang, Richard Han, Tamara Silbergleit Lehman, Qin Lv, Shivakant Mishra
Publikováno v:
Lecture Notes in Social Networks ISBN: 9783031078682
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6755637e7c83f10da2bbdbcfd3c7d85e
https://doi.org/10.1007/978-3-031-07869-9_3
https://doi.org/10.1007/978-3-031-07869-9_3
Publikováno v:
2021 Eighth International Conference on Software Defined Systems (SDS).
Publikováno v:
Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
Social media platforms have been exploited to disseminate misinformation in recent years. The widespread online misinformation has been shown to affect users' beliefs and is connected to social impact such as polarization. In this work, we focus on m