A new continuous optimization algorithm based on sociological models. - Mathew Mithra Noel; Thomas C. Jannett (ACC, 2005)

Performance Analysis of Coarse-Grained Parallel Particle Swarm Optimization. - Swathi Tanjore Gurumani; Mathew M. Noel; B. Earl Wells; Thomas C. Jannett (PDCS, 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 (ITNG, 2006)

A new gradient based particle swarm optimization algorithm for accurate computation of global minimum. - Mathew M. Noel (Appl. Soft Comput., 2012)

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)

Active disturbance rejection control for cargo ship steering. - Ankit Sharma; Qing Zheng; Mathew Mithra Noel (ACC, 2015)

Galactic Swarm Optimization: A new global optimization metaheuristic inspired by galactic motion. - Venkataraman Muthiah-Nakarajan; Mathew Mithra Noel (Appl. Soft Comput., 2016)

Design of a high-speed line following robot that smoothly follows tight curves. - Abhishek Roy; Mathew Mithra Noel (Comput. Electr. Eng., 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)

Accurate Computation of Vocal Tract Filter Parameters Using a Hybrid Genetic Algorithm. - Mathew Mithra Noel; Venkataraman Muthiah-Nakarajan; Ruban Nersisson (Appl. Artif. Intell., 2019)

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)

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)

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)

Alternate Loss Functions Can Improve the Performance of Artificial Neural Networks. - Mathew Mithra Noel; Arindam Banerjee 002; Geraldine Bessie Amali (CoRR, 2023)

Computationally Efficient Quadratic Neural Networks. - Mathew Mithra Noel; Venkataraman Muthiah-Nakarajan (CoRR, 2023)

A Significantly Better Class of Activation Functions Than ReLU Like Activation Functions. - Mathew Mithra Noel; Yug Oswal (CoRR, 2024)

An Improved Rapidly Exploring Random Tree Algorithm for Path Planning in Configuration Spaces with Narrow Channels. - Mathew Mithra Noel; Akshay Chawla (CoRR, 2024)

Oscillating activation functions can improve the performance of convolutional neural networks. - Mathew Mithra Noel; Arunkumar L; Advait Trivedi; Praneet Dutta (Appl. Soft Comput., 2025)

Biologically inspired oscillating activation functions can bridge the performance gap between biological and artificial neurons. - Mathew Mithra Noel; Shubham Bharadwaj; Venkataraman Muthiah-Nakarajan; Praneet Dutta; Geraldine Bessie Amali (Expert Syst. Appl., 2025)