no code implementations • 7 Aug 2023 • Karan Pardeshi, Sukhpal Singh Gill, Ahmed M. Abdelmoniem
In this paper, our aim is to focus on the second aspect and build a model that predicts future prices with minimal errors.
no code implementations • 7 Aug 2023 • Karan Gadgil, Sukhpal Singh Gill, Ahmed M. Abdelmoniem
Companies across the globe are keen on targeting potential high-value customers in an attempt to expand revenue and this could be achieved only by understanding the customers more.
no code implementations • 25 May 2023 • Sukhpal Singh Gill, Minxian Xu, Panos Patros, Huaming Wu, Rupinder Kaur, Kamalpreet Kaur, Stephanie Fuller, Manmeet Singh, Priyansh Arora, Ajith Kumar Parlikad, Vlado Stankovski, Ajith Abraham, Soumya K. Ghosh, Hanan Lutfiyya, Salil S. Kanhere, Rami Bahsoon, Omer Rana, Schahram Dustdar, Rizos Sakellariou, Steve Uhlig, Rajkumar Buyya
ChatGPT, an AI-based chatbot, was released to provide coherent and useful replies based on analysis of large volumes of data.
no code implementations • 8 May 2023 • Sukhpal Singh Gill, Rupinder Kaur
Artificial intelligence (AI) and machine learning have changed the nature of scientific inquiry in recent years.
no code implementations • 20 Mar 2023 • Sifatkaur Dhingra, Manmeet Singh, Vaisakh SB, Neetiraj Malviya, Sukhpal Singh Gill
Cognitive psychology delves on understanding perception, attention, memory, language, problem-solving, decision-making, and reasoning.
1 code implementation • 11 Oct 2021 • Shreshth Tuli, Sukhpal Singh Gill, Minxian Xu, Peter Garraghan, Rami Bahsoon, Schahram Dustdar, Rizos Sakellariou, Omer Rana, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings
The worldwide adoption of cloud data centers (CDCs) has given rise to the ubiquitous demand for hosting application services on the cloud.
1 code implementation • 28 Jul 2021 • Manmeet Singh, Chirag Dhara, Adarsh Kumar, Sukhpal Singh Gill, Steve Uhlig
Climate change has become one of the biggest global problems increasingly compromising the Earth's habitability.
no code implementations • 20 Jun 2021 • Manmeet Singh, Bipin Kumar, Suryachandra Rao, Sukhpal Singh Gill, Rajib Chattopadhyay, Ravi S Nanjundiah, Dev Niyogi
This study is a proof-of-concept showing that residual learning-based UNET can unravel physical relationships to target precipitation, and those physical constraints can be used in the dynamical operational models towards improved precipitation forecasts.