Mathew M. Noel

According to our database, Mathew M. Noel authored at least 15 papers between 2005 and 2023.

Collaborative distances:

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

2023

Computationally Efficient Quadratic Neural Networks.

Mathew Mithra Noel, Venkataraman Muthiah-Nakarajan

CoRR, 2023

Alternate Loss Functions Can Improve the Performance of Artificial Neural Networks.

Mathew Mithra Noel, Arindam Banerjee, Geraldine Bessie Amali

CoRR, 2023

2021

A new biologically inspired global optimization algorithm based on firebug reproductive swarming behaviour.

Mathew Mithra Noel, Venkataraman Muthiah-Nakarajan, Geraldine Bessie Amali, Advait Trivedi

Expert Syst. Appl., 2021

Growing Cosine Unit: A Novel Oscillatory Activation Function That Can Speedup Training and Reduce Parameters in Convolutional Neural Networks.

Mathew Mithra Noel, Arunkumar L, Advait Trivedi, Praneet Dutta

CoRR, 2021

2020

Control of constrained high dimensional nonlinear liquid level processes using a novel neural network based Rapidly exploring Random Tree algorithm.

B. Jaganatha Pandian, Mathew Mithra Noel

Appl. Soft Comput., 2020

2019

Accurate Computation of Vocal Tract Filter Parameters Using a Hybrid Genetic Algorithm.

Mathew Mithra Noel, Venkataraman Muthiah-Nakarajan, Ruban Nersisson

Appl. Artif. Intell., 2019

2016

Nonlinear control of a boost converter using a robust regression based reinforcement learning algorithm.

D. John Pradeep, Mathew Mithra Noel, N. Arun

Eng. Appl. Artif. Intell., 2016

Design of a high-speed line following robot that smoothly follows tight curves.

Abhishek Roy, Mathew Mithra Noel

Comput. Electr. Eng., 2016

Galactic Swarm Optimization: A new global optimization metaheuristic inspired by galactic motion.

Venkataraman Muthiah-Nakarajan, Mathew Mithra Noel

Appl. Soft Comput., 2016

2015

Active disturbance rejection control for cargo ship steering.

Ankit Sharma, Qing Zheng, Mathew Mithra Noel

Proceedings of the American Control Conference, 2015

2014

Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach.

Mathew M. Noel, B. Jaganatha Pandian

Appl. Soft Comput., 2014

2012

A new gradient based particle swarm optimization algorithm for accurate computation of global minimum.

Mathew M. Noel

Appl. Soft Comput., 2012

2006

Improved Maximum Likelihood Estimation of Target Position in Wireless Sensor Networks using Particle Swarm Optimization.

Mathew M. Noel, Parag P. Joshi, Thomas C. Jannett

Proceedings of the Third International Conference on Information Technology: New Generations (ITNG 2006), 2006

Performance Analysis of Coarse-Grained Parallel Particle Swarm Optimization.

Swathi Tanjore Gurumani, Mathew M. Noel, B. Earl Wells, Thomas C. Jannett

Proceedings of the ISCA 19th International Conference on Parallel and Distributed Computing Systems, 2006

2005

A new continuous optimization algorithm based on sociological models.

Mathew Mithra Noel, Thomas C. Jannett

Proceedings of the American Control Conference, 2005