Mathew Mithra Noel

Mathew Mithra Noel

VIT University

H-index: 14

Asia-India

About Mathew Mithra Noel

Mathew Mithra Noel, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at VIT University, specializes in the field of Machine Learning, Control, Optimization.

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

Novel Darknet traffic data synthesis using Generative Adversarial Networks enhanced with oscillatory Growing Cosine Unit activated convolution layers

Computationally Efficient Quadratic Neural Networks

Alternate Loss Functions Can Improve the Performance of Artificial Neural Networks

Automatic Image Captioning Using Different Variants of the Long Short-Term Memory (LSTM) Deep Learning Model

Biologically inspired oscillating activation functions can bridge the performance gap between biological and artificial neurons

Growing cosine unit: A novel oscillatory activation function that can speedup training and reduce parameters in convolutional neural networks

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

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

Mathew Mithra Noel Information

University

Position

___

Citations(all)

951

Citations(since 2020)

614

Cited By

542

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

15

i10Index(since 2020)

14

Email

University Profile Page

VIT University

Google Scholar

View Google Scholar Profile

Mathew Mithra Noel Skills & Research Interests

Machine Learning

Control

Optimization

Top articles of Mathew Mithra Noel

Title

Journal

Author(s)

Publication Date

Novel Darknet traffic data synthesis using Generative Adversarial Networks enhanced with oscillatory Growing Cosine Unit activated convolution layers

International Journal of Cognitive Computing in Engineering

Mathew Mithra Noel

Muhammad Rukunuddin Ghalib

Prabhakar Rontala Subramaniam

Chitra Venugopal

2024/1/1

Computationally Efficient Quadratic Neural Networks

arXiv preprint arXiv:2310.02901

Mathew Mithra Noel

Venkataraman Muthiah-Nakarajan

2023/10/4

Alternate Loss Functions Can Improve the Performance of Artificial Neural Networks

arXiv e-prints

Mathew Mithra Noel

Arindam Banerjee

Geraldine Bessie Amali D

2023/3

Automatic Image Captioning Using Different Variants of the Long Short-Term Memory (LSTM) Deep Learning Model

Ritwik Kundu

Shaurya Singh

Geraldine Amali

Mathew Mithra Noel

KS Umadevi

2023

Biologically inspired oscillating activation functions can bridge the performance gap between biological and artificial neurons

arXiv preprint arXiv:2111.04020

Matthew Mithra Noel

Shubham Bharadwaj

Venkataraman Muthiah-Nakarajan

Praneet Dutta

Geraldine Bessie Amali

2021/11/7

Growing cosine unit: A novel oscillatory activation function that can speedup training and reduce parameters in convolutional neural networks

https://arxiv.org/abs/2108.12943v3

Mathew Mithra Noel

Advait Trivedi

Praneet Dutta

2021/8/30

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

Expert Systems with Applications

Mathew Mithra Noel

Venkataraman Muthiah-Nakarajan

Geraldine Bessie Amali

Advait Sanjay Trivedi

2021/11/30

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

Applied Soft Computing

B Jaganatha Pandian

Mathew Mithra Noel

2020/11/1

See List of Professors in Mathew Mithra Noel University(VIT University)

Co-Authors

H-index: 11
Ruban Nersisson

Ruban Nersisson

VIT University

H-index: 7
Jaganatha Pandian

Jaganatha Pandian

VIT University

H-index: 3
NANDAGOPAL ARUN

NANDAGOPAL ARUN

VIT University

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