S
Shreshth Tuli
Researcher at Imperial College London
Publications - 58
Citations - 2094
Shreshth Tuli is an academic researcher from Imperial College London. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 12, co-authored 34 publications receiving 958 citations. Previous affiliations of Shreshth Tuli include University of Melbourne & Indian Institutes of Technology.
Papers
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Journal ArticleDOI
HealthFog: An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in integrated IoT and fog computing environments
Shreshth Tuli,Shreshth Tuli,Nipam Basumatary,Nipam Basumatary,Sukhpal Singh Gill,Mohsen Kahani,Mohsen Kahani,Rajesh Chand Arya,Gurpreet Singh Wander,Rajkumar Buyya +9 more
TL;DR: A novel framework called HealthFog is proposed for integrating ensemble deep learning in Edge computing devices and deployed it for a real-life application of automatic Heart Disease analysis.
Journal ArticleDOI
Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing
TL;DR: An ML-based improved model has been applied to predict the potential threat of COVID-19 in countries worldwide and it is shown that using iterative weighting for fitting Generalized Inverse Weibull distribution, a better fit can be obtained to develop a prediction framework.
Journal ArticleDOI
FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing
TL;DR: The experimental results show that FogBus is comparatively lightweight and responsive, and different FogBus settings can tune the computing environment as per the situation demands.
Journal ArticleDOI
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges
Sukhpal Singh Gill,Shreshth Tuli,Minxian Xu,Inderpreet Singh,Karan Singh,Karan Singh,Dominic Lindsay,Shikhar Tuli,Daria Smirnova,Manmeet Singh,Manmeet Singh,Udit Jain,Haris Pervaiz,Bhanu Sehgal,Sukhwinder Singh Kaila,Sanjay Misra,Sanjay Misra,Mohammad Sadegh Aslanpour,Harshit Mehta,Vlado Stankovski,Peter Garraghan +20 more
TL;DR: A conceptual model for cloud futurology is proposed in this article to explore the influence of emerging paradigms and technologies on evolution of cloud computing. But, the model is limited to three technologies: Blockchain, IoT and Artificial Intelligence.
Posted ContentDOI
Predicting the Growth and Trend of COVID-19 Pandemic using Machine Learning and Cloud Computing
TL;DR: An ML-based improved model has been applied to predict the potential threat of COVID-19 in countries worldwide and it is shown that using iterative weighting for fitting Generalized Inverse Weibull distribution, a better fit can be obtained to develop a prediction framework.