T. Anil Kumar

According to our database, T. Anil Kumar authored at least 5 papers between 2006 and 2024.

Collaborative distances:

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

2024

DLSTMFRNN - a newly developed network-based deep long short-term memory and recurrent neural network for stock market prediction.

Nagarjun Yadav Vanguri, S. Pazhanirajan, T. Anil Kumar

Int. J. Web Eng. Technol., 2024

2023

Competitive feedback particle swarm optimization enabled deep recurrent neural network with technical indicators for forecasting stock trends.

Nagarjun Yadav Vanguri, S. Pazhanirajan, T. Anil Kumar

Int. J. Intell. Robotics Appl., June, 2023

2009

A new m-estimator based robust multiuser detection in flat-fading non-gaussian channels.

T. Anil Kumar, Korrai Deergha Rao

IEEE Trans. Commun., 2009

2007

Breakdown Point Analysis of a New M-Estimator for Robust Multiuser Detection in Non-Gaussian Channels.

T. Anil Kumar, Korrai Deergha Rao

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

2006

A New Choice of Influence Function for Robust Multiuser Detection in Non-Gaussian Channels.

Korrai Deergha Rao, T. Anil Kumar

Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2006, 2006