Anupma Sharma

According to our database, Anupma Sharma authored at least 9 papers between 2015 and 2024.

Collaborative distances:

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

2024

ZA-LMS-based sparse channel estimator in multi-carrier VLC system.

Anupma Sharma, Vidya Bhasker Shukla, Vimal Bhatia, Kwonhue Choi

Photonic Netw. Commun., February, 2024

2023

Federated Learning-based Base Station Selection on 3D LiDAR Data for Beyond 5G Communications.

Thushan Sivalingam, Anupma Sharma, Vimal Bhatia, Nandana Rajatheva, Sanjeev Sharma, Kuntal Deka

Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2023

LSTM-based Channel Estimator for Optical IRS-Assisted non-Linear VLC Systems.

Anupma Sharma, Prakhar Keshari, Vimal Bhatia

Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2023

2022

ZA-LMS based Sparse Channel Estimator for VLC-OTFS.

Anupma Sharma, Vidya Bhaskar Shukla, Vimal Bhatia

Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2022

VLMS based Channel Estimator for OTFS VLC System.

Anupma Sharma, Vimal Bhatia

Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2022

2020

Insights into high mobility group A (HMGA) proteins from Poaceae family: An <i>in silico</i> approach for studying homologs.

Archana Pal Negi, Ratnesh Singh, Anupma Sharma, Vishal Singh Negi

Comput. Biol. Chem., 2020

Performance Analysis of OTFS Over Mobile Multipath Channels for Visible Light Communication.

Anupma Sharma, Sandesh Jain, Rangeet Mitra, Vimal Bhatia

Proceedings of the 2020 IEEE Region 10 Conference, 2020

Performance Analysis of OTFS Over Multipath Channels for Visible Light Communication.

Anupma Sharma, Sandesh Jain, Rangeet Mitra, Vimal Bhatia

Proceedings of the International Conference on Communications, 2020

2015

Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification.

Sankho Turjo Sarkar, Amol P. Bhondekar, Martin Macas, Ritesh Kumar, Rishemjit Kaur, Anupma Sharma, Ashu Gulati, Amod Kumar

Neural Networks, 2015