Prajna Parimita Dash

About Prajna Parimita Dash

Prajna Parimita Dash, With an exceptional h-index of 7 and a recent h-index of 4 (since 2020), a distinguished researcher at Birla Institute of Technology, specializes in the field of Signal, Image and Processing, Computer Vision, Communication.

His recent articles reflect a diverse array of research interests and contributions to the field:

Two stage self-adaptive cognitive neural network for mixed noise removal from medical images

ML-based reconfigurable symbol decoder: An alternative for next-generation communication systems

Non-Orthogonal Multiple Access: Procession towards B5G and 6G

Coefficient-Scaling-Based Fair Power Allocation for Multi-User Power-Domain Nonorthogonal Multiple Access Network

Interactive teaching learning based optimization technique for multiple object tracking

Capacity Analysis of Non-Orthogonal Multiple Access for Uplink and Downlink

Identification of real-time maglev plant using long-short term memory network based deep learning technique

An efficient hybrid framework for visual tracking using Exponential Quantum Particle Filter and Mean Shift optimization

Prajna Parimita Dash Information

University

Position

Assistant Professor Ranchi

Citations(all)

129

Citations(since 2020)

73

Cited By

80

hIndex(all)

7

hIndex(since 2020)

4

i10Index(all)

3

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Prajna Parimita Dash Skills & Research Interests

Signal

Image and Processing

Computer Vision

Communication

Top articles of Prajna Parimita Dash

Two stage self-adaptive cognitive neural network for mixed noise removal from medical images

Multimedia Tools and Applications

2024/1

Prajna Parimita Dash
Prajna Parimita Dash

H-Index: 4

ML-based reconfigurable symbol decoder: An alternative for next-generation communication systems

Engineering Applications of Artificial Intelligence

2022/9/1

Saurabh Srivastava
Saurabh Srivastava

H-Index: 2

Prajna Parimita Dash
Prajna Parimita Dash

H-Index: 4

Non-Orthogonal Multiple Access: Procession towards B5G and 6G

2021/11/26

Saurabh Srivastava
Saurabh Srivastava

H-Index: 2

Prajna Parimita Dash
Prajna Parimita Dash

H-Index: 4

Coefficient-Scaling-Based Fair Power Allocation for Multi-User Power-Domain Nonorthogonal Multiple Access Network

Journal of Circuits, Systems and Computers

2021/12/30

Saurabh Srivastava
Saurabh Srivastava

H-Index: 2

Prajna Parimita Dash
Prajna Parimita Dash

H-Index: 4

Interactive teaching learning based optimization technique for multiple object tracking

Multimedia Tools and Applications

2021/3

Prajna Parimita Dash
Prajna Parimita Dash

H-Index: 4

Sudhansu Kumar Mishra
Sudhansu Kumar Mishra

H-Index: 13

Capacity Analysis of Non-Orthogonal Multiple Access for Uplink and Downlink

2020/4/14

Identification of real-time maglev plant using long-short term memory network based deep learning technique

2020

Sudhansu Kumar Mishra
Sudhansu Kumar Mishra

H-Index: 13

Prajna Parimita Dash
Prajna Parimita Dash

H-Index: 4

An efficient hybrid framework for visual tracking using Exponential Quantum Particle Filter and Mean Shift optimization

Multimedia Tools and Applications

2020/8

Prajna Parimita Dash
Prajna Parimita Dash

H-Index: 4

Dipti Patra
Dipti Patra

H-Index: 13

See List of Professors in Prajna Parimita Dash University(Birla Institute of Technology)

Co-Authors

academic-engine