Debarshi Datta

According to our database, Debarshi Datta authored at least 6 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Implementation of polyphase digital down converter for wireless applications.

Debarshi Datta, Himadri Sekhar Dutta

Microprocess. Microsystems, July, 2023

Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in South Florida.

Debarshi Datta, Safiya George Dalmida, Laurie Martinez, David Newman, Javad Hashemi, Taghi M. Khoshgoftaar, Connor Shorten, Candice Sareli, Paula Eckardt

Frontiers Digit. Health, March, 2023

2022

Exploring Language-Interfaced Fine-Tuning for COVID-19 Patient Survival Classification.

Connor Shorten, Erika Cardenas, Taghi M. Khoshgoftaar, Javad Hashemi, Safiya George Dalmida, David Newman, Debarshi Datta, Laurie Martinez, Candice Sareli, Paula Eckard

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Predicting the Severity of COVID-19 Respiratory Illness with Deep Learning.

Connor Shorten, Taghi M. Khoshgoftaar, Javad Hashemi, Safiya George Dalmida, David Newman, Debarshi Datta, Laurie Martinez, Candice Sareli, Paula Eckard

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021

High Efficient Polyphase Digital Down Converter on FPGA.

Debarshi Datta, Himadri Sekhar Dutta

Circuits Syst. Signal Process., 2021

2018

Implementation of Universal Modulator Using CORDIC Architecture in FPGA.

Debarshi Datta, Partha Mitra, Himadri Sekhar Dutta

Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2018