no code implementations • 14 Nov 2023 • Hrishikesh Vachhani, Thangarajah Akilan, Yash Devmurari, Nisharaff Shaik, Dhruvisha Patel
Pedestrian detection has become a cornerstone for several high-level tasks, including autonomous driving, intelligent transportation, and traffic surveillance.
no code implementations • 30 Aug 2023 • Siavash Hosseini, Thangarajah Akilan
It reveals that the LSTM-based sequence learning model can predict oil production better than the 1-D convolutional neural network (CNN) with mean absolute error (MAE) and R2 score of 111. 16 and 0. 98, respectively.
no code implementations • 11 Feb 2023 • Dhrumil Patel, Dhruv Patel, Rudra Saxena, Thangarajah Akilan
This work introduces an efficient brain tumor summation model by exploiting the advancement in MRI and graph neural networks (GNNs).
no code implementations • 30 Jul 2022 • Jun Li, Thangarajah Akilan
Temperature monitoring is critical for electrical motors to determine if device protection measures should be executed.
no code implementations • 30 Jul 2022 • Mohammed Nowshad Ruhani Chowdhury, Wandong Zhang, Thangarajah Akilan
In response to this, the healthcare industry has adopted machine learning-based smart solutions to alleviate the manual process of CVD prognosis.
no code implementations • 23 Jun 2021 • Thangarajah Akilan
The coronavirus continues to disrupt our everyday lives as it spreads at an exponential rate.
no code implementations • 4 Jan 2021 • Thangarajah Akilan, Edna Johnson, Japneet Sandhu, Ritika Chadha, Gaurav Taluja
This work introduces a hybrid learning model that explores beyond feature fusion and conducts a multimodal weight sewing strategy towards improving the performance of a baseline SLAM algorithm.
1 code implementation • 13 Sep 2020 • Apurva Pandya, Catherine Samuel, Nisargkumar Patel, Vaibhavkumar Patel, Thangarajah Akilan
A brain tumor is a collection or a mass of abnormal cells in the brain.
no code implementations • 14 Sep 2018 • Yimin Yang, Q. M. Jonathan Wu, Xiexing Feng, Thangarajah Akilan
An iterative method of learning has become a paradigm for training deep convolutional neural networks (DCNN).
no code implementations • 19 Jan 2018 • Thangarajah Akilan
Foreground (FG) pixel labelling plays a vital role in video surveillance.
no code implementations • 11 May 2017 • Thangarajah Akilan, Q. M. Jonathan Wu, Wei Jiang
Following the rapidly growing digital image usage, automatic image categorization has become preeminent research area.