D. J. Jagannath

According to our database, D. J. Jagannath authored at least 10 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

Software-Defined Networking Routing Algorithms: Issues, QoS and Models.

G. Shine Let, C. Benin Pratap, D. J. Jagannath, D. Raveena Judie Dolly, L. Diana Evangeline

Wirel. Pers. Commun., August, 2023

2022

Epidemic Healthcare Kiosk: A Social Economic Remote Solution Using IoT.

D. J. Jagannath, D. Raveena Judie Dolly, J. Dinesh Peter

Int. J. E Health Medical Commun., 2022

An IoT enabled smart healthcare system using deep reinforcement learning.

D. J. Jagannath, D. Raveena Judie Dolly, Gunamony Shine Let, James Dinesh Peter

Concurr. Comput. Pract. Exp., 2022

2021

Adaptive frame assessment tactics for high quality therapeutic video compression.

D. Raveena Judie Dolly, D. J. Jagannath

Int. J. Comput. Aided Eng. Technol., 2021

2020

Deep learning strategies for foetal electrocardiogram signal synthesis.

D. J. Jagannath, D. Raveena Judie Dolly, J. Dinesh Peter

Pattern Recognit. Lett., 2020

Image fusion for stabilized medical video sequence using multimodal parametric registration.

D. Raveena Judie Dolly, J. Dinesh Peter, G. Josemin Bala, D. J. Jagannath

Pattern Recognit. Lett., 2020

Composite Deep Belief Network approach for enhanced Antepartum foetal electrocardiogram signal.

D. J. Jagannath, D. Raveena Judie Dolly, J. Dinesh Peter

Cogn. Syst. Res., 2020

2019

A novel Bayesian deep learning methodology for enhanced foetal cardiac signal mining.

D. J. Jagannath, D. Raveena Judie Dolly, J. Dinesh Peter

J. Exp. Theor. Artif. Intell., 2019

2015

Superior foetal electrocardiogram signal elicitation using a novel artificial intelligent Bayesian methodology.

D. J. Jagannath, A. Immanuel Selvakumar

Appl. Soft Comput., 2015

2014

Issues and research on foetal electrocardiogram signal elicitation.

D. J. Jagannath, A. Immanuel Selvakumar

Biomed. Signal Process. Control., 2014