Search Results for author: Thangarajah Akilan

Found 11 papers, 1 papers with code

Low-light Pedestrian Detection in Visible and Infrared Image Feeds: Issues and Challenges

no code implementations14 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.

Autonomous Driving Low-light Pedestrian Detection +1

Advanced Deep Regression Models for Forecasting Time Series Oil Production

no code implementations30 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.

regression Time Series

Multi-class Brain Tumor Segmentation using Graph Attention Network

no code implementations11 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).

Brain Tumor Segmentation Graph Attention +2

Global Attention-based Encoder-Decoder LSTM Model for Temperature Prediction of Permanent Magnet Synchronous Motors

no code implementations30 Jul 2022 Jun Li, Thangarajah Akilan

Temperature monitoring is critical for electrical motors to determine if device protection measures should be executed.

ANOVA-based Automatic Attribute Selection and a Predictive Model for Heart Disease Prognosis

no code implementations30 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.

Attribute

CxSE: Chest X-ray Slow Encoding CNN forCOVID-19 Diagnosis

no code implementations23 Jun 2021 Thangarajah Akilan

The coronavirus continues to disrupt our everyday lives as it spreads at an exponential rate.

A Hybrid Learner for Simultaneous Localization and Mapping

no code implementations4 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.

Autonomous Navigation Self-Driving Cars +1

Non-iterative recomputation of dense layers for performance improvement of DCNN

no code implementations14 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).

Object Recognition

A Feature Embedding Strategy for High-level CNN representations from Multiple ConvNets

no code implementations11 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.

Action Classification Classification +3

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