Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Preeti Gulia"'
Autor:
Aarti Punia, Preeti Gulia, Nasib Singh Gill, Ebuka Ibeke, Celestine Iwendi, Piyush Kumar Shukla
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-37 (2024)
Abstract The widespread adoption of cloud computing has dramatically altered how data is stored, processed, and accessed in an era. The rapid development of digital technologies characterizes all this. The widespread adoption of cloud services has in
Externí odkaz:
https://doaj.org/article/655bf4504e2d4dcabdaac50cfc0a86f8
Publikováno v:
IEEE Access, Vol 12, Pp 33949-33958 (2024)
Predictive algorithms, also known as mathematical models, utilize historical data to accurately predict future outcomes. These algorithms identify patterns and relationships within the data, resulting in precise predictions. The growing importance of
Externí odkaz:
https://doaj.org/article/b7777e3fb7ab4400b38957e10d835210
Autor:
Deepak, Preeti Gulia, Nasib Singh Gill, Mohammad Yahya, Punit Gupta, Prashant Kumar Shukla, Piyush Kumar Shukla
Publikováno v:
IEEE Access, Vol 12, Pp 31197-31227 (2024)
Internet of Things (IoT) plays an essential contribution in connecting devices and enabling seamless data exchange, leading to increased efficiency and convenience. However, security concerns in IoT systems are significant, as compromised devices can
Externí odkaz:
https://doaj.org/article/3bef53d007d84906baf227c2fab19f1a
Autor:
Chhaya Gupta, Nasib Singh Gill, Preeti Gulia, Sangeeta Yadav, Giovanni Pau, Mohammad Alibakhshikenari, Xiangjie Kong
Publikováno v:
IEEE Open Journal of the Computer Society, Vol 5, Pp 14-26 (2024)
Computer vision technologies have greatly improved in the last few years. Many problems have been solved using deep learning merged with more computational power. Action recognition is one of society's problems that must be addressed. Human Action Re
Externí odkaz:
https://doaj.org/article/8b26e7c3c97342e7b9b5c0b04b6ce85b
Autor:
Sangeeta Duhan, Preeti Gulia, Nasib Singh Gill, Piyush Kumar Shukla, Surbhi Bhatia Khan, Ahlam Almusharraf, Norah Alkhaldi
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e29802- (2024)
There is an increasing demand for efficient and precise plant disease detection methods that can quickly identify disease outbreaks. For this, researchers have developed various machine learning and image processing techniques. However, real-field im
Externí odkaz:
https://doaj.org/article/b0353c65f34844669e64d2bf9341abb1
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Metamaterials are periodic structures made by repeating a unit cell. Such a structure shows frequency-specific wave attenuation behaviour. In this work, a 2D metamaterial foundation is proposed for the seismic protection of buildings. The pa
Externí odkaz:
https://doaj.org/article/780d14e72dd147c5805a02618b4a62f3
Publikováno v:
IEEE Access, Vol 11, Pp 52509-52526 (2023)
Machine learning (ML) provides effective solutions to develop efficient intrusion detection system (IDS) for various environments. In the present paper, a diversified study of various ensemble machine learning (ML) algorithms has been carried out to
Externí odkaz:
https://doaj.org/article/a1a91a94b0ba488e8a2e6fd531fda6d0
Autor:
Deepak, Preeti Gulia, Nasib Singh Gill, Mohammad Yahya, Punit Gupta, Prashant Kumar Shukla, Piyush Kumar Shukla
Publikováno v:
IEEE Access, Vol 12, Pp 112354-112354 (2024)
In the above article [1], references 56 and 92 were retracted. As the works in these references are no longer reliable, we are removing these references and the related discussions in [1]. These references do not have any impact on the data, analysis
Externí odkaz:
https://doaj.org/article/7cae5155da114945a7d65ae86701d400
Publikováno v:
Information, Vol 14, Iss 5, p 268 (2023)
IoT devices collect time-series traffic data, which is stochastic and complex in nature. Traffic flow prediction is a thorny task using this kind of data. A smart traffic congestion prediction system is a need of sustainable and economical smart citi
Externí odkaz:
https://doaj.org/article/68312cffaa2b49c9b97f05b5318593b8
Publikováno v:
Complexity, Vol 2022 (2022)
The stability of the power grid is concernment due to the high demand and supply to smart cities, homes, factories, and so on. Different machine learning (ML) and deep learning (DL) models can be used to tackle the problem of stability prediction for
Externí odkaz:
https://doaj.org/article/9bd2a64dbd92419f925ec8ebcfd94566