no code implementations • 18 Oct 2023 • Turker Tuncer, Sengul Dogan, Mehmet Baygin, Prabal Datta Barua, Abdul Hafeez-Baig, Ru-San Tan, Subrata Chakraborty, U. Rajendra Acharya
The generative pre-trained transformer (GPT)-based chatbot software ChatGPT possesses excellent natural language processing capabilities but is inadequate for solving arithmetic problems, especially multiplication.
no code implementations • 13 Jul 2023 • Michael James Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Jing Zhu, Prabal Datta Barua, U. Rajendra Acharya, Fang Chen, Jianlong Zhou
The proposed algorithm achieved excellent generalization results against an external dataset with sensitivity of 77% at a false positive rate of 7. 6.
no code implementations • 15 Mar 2022 • Michael James Horry, Subrata Chakraborty, Biswajeet Pradhan, Nagesh Shukla, Sanjoy Paul
Recognizing the need for an adaptable, accurate, and scalable satellite image chip classification scheme, in this research we present an ensemble of: i) a slow to train but high accuracy vision transformer; and ii) a fast to train, low-parameter convolutional neural network.
no code implementations • 24 Jan 2022 • Michael Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Jing Zhu, Hui Wen Loh, Prabal Datta Barua, U. Rajendra Arharya
In stripping chest X-ray images of known confounding variables by lung field segmentation, along with suppression of signal noise from the bone structure we can train a highly accurate deep learning lung nodule detection algorithm with outstanding generalization accuracy of 89% to nodule samples in unseen data.
no code implementations • 20 Apr 2021 • Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan, Maryam Fallahpoor, Chegeni Hossein, Manoranjan Paul
We then assess the predictive ability of these models for COVID-19 severity using an independent new dataset that is stratified for COVID-19 lung involvement.
no code implementations • 12 Jan 2021 • Aniket Biswas, Subrata Chakraborty
Considering two absolutely continuous random variables with positive support, this method conditions on their convolution to generate a new random variable in the unit interval.
Statistics Theory Statistics Theory 60E05
no code implementations • 10 Dec 2020 • Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Douglas P. S. Gomes, Anwaar Ul-Haq
Decision trees mined using this method may be considered as a starting point for refinement into clinically useful multi-variate lung cancer malignancy models for implementation as a workflow augmentation tool to improve the efficiency of human radiologists.
1 code implementation • 30 Nov 2020 • Douglas P. S. Gomes, Michael J. Horry, Anwaar Ulhaq, Manoranjan Paul, Subrata Chakraborty, Manash Saha, Tanmoy Debnath, D. M. Motiur Rahaman
As the primary contribution, this method correlates well to patient severity in different stages of disease progression with competitive results compared to other existing, more complex methods.
no code implementations • 26 Sep 2020 • Douglas P. S. Gomes, Anwaar Ulhaq, Manoranjan Paul, Michael J. Horry, Subrata Chakraborty, Manas Saha, Tanmoy Debnath, D. M. Motiur Rahaman
X-ray images may present non-trivial features with predictive information of patients that develop severe symptoms of COVID-19.
no code implementations • 12 Jul 2020 • Rabinder Kumar Prasad, Rosy Sarmah, Subrata Chakraborty
The novel Coronavirus (COVID-19) incidence in India is currently experiencing exponential rise but with apparent spatial variation in growth rate and doubling time rate.
no code implementations • 15 Apr 2020 • Cameron White, Manoranjan Paul, Subrata Chakraborty
As a blockchain system can be useful for maintaining data integrity, image authentication has the potential to be enhanced by blockchain.