Akilan Thangarajah

Orcid: 0000-0002-2972-3291

Affiliations:
  • Lakehead University, Department of Computer Science, Thunder Bay, ON, Canada
  • University of Windsor, ON, Canada (PhD 2018)


According to our database1, Akilan Thangarajah authored at least 45 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2023
Low-light Pedestrian Detection in Visible and Infrared Image Feeds: Issues and Challenges.
CoRR, 2023

Advanced Deep Regression Models for Forecasting Time Series Oil Production.
CoRR, 2023

Multi-class Brain Tumor Segmentation using Graph Attention Network.
CoRR, 2023

A Novel Approach for Fall Detection Using Thermal Imaging and a Stacking Ensemble of Autoencoder and 3D-CNN Models.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023

Dual-Modality Deep Feature-based Anomaly Detection for Video Surveillance.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023

NLP-driven Content Classification Towards Fake News and Bully Detection.
Proceedings of the IEEE International Conference on Artificial Intelligence, 2023

2022
MRSDI-CNN: Multi-Model Rail Surface Defect Inspection System Based on Convolutional Neural Networks.
IEEE Trans. Intell. Transp. Syst., 2022

HKPM: A Hierarchical Key-Area Perception Model for HFSWR Maritime Surveillance.
IEEE Trans. Geosci. Remote. Sens., 2022

Fast Ship Detection With Spatial-Frequency Analysis and ANOVA-Based Feature Fusion.
IEEE Geosci. Remote. Sens. Lett., 2022

ANOVA-based Automatic Attribute Selection and a Predictive Model for Heart Disease Prognosis.
CoRR, 2022

Global Attention-based Encoder-Decoder LSTM Model for Temperature Prediction of Permanent Magnet Synchronous Motors.
CoRR, 2022

Machine Learning for Global Food Security: A Concise Overview.
Proceedings of the IEEE International Humanitarian Technology Conference, 2022

Deep Neural Network Modeling for Accurate Electric Motor Temperature Prediction.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022

2021
Multimodel Feature Reinforcement Framework Using Moore-Penrose Inverse for Big Data Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2021

A Width-Growth Model With Subnetwork Nodes and Refinement Structure for Representation Learning and Image Classification.
IEEE Trans. Ind. Informatics, 2021

CxSE: Chest X-ray Slow Encoding CNN forCOVID-19 Diagnosis.
CoRR, 2021

A Hybrid Learner for Simultaneous Localization and Mapping.
CoRR, 2021

Multi-channel MRI Embedding: An Effective Strategy for Enhancing Brain Tumor Segmentation.
Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

2020
A 3D CNN-LSTM-Based Image-to-Image Foreground Segmentation.
IEEE Trans. Intell. Transp. Syst., 2020

sEnDec: An Improved Image to Image CNN for Foreground Localization.
IEEE Trans. Intell. Transp. Syst., 2020

Recomputation of the Dense Layers for Performance Improvement of DCNN.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Multi-channel MRI Embedding: An EffectiveStrategy for Enhancement of Human Brain Whole Tumor Segmentation.
CoRR, 2020

Quantifying the Impact of Complementary Visual and Textual Cues Under Image Captioning.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Fast Detection of Duplicate Bug Reports using LDA-based Topic Modeling and Classification.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

ES2ISL: An Advancement in Speech to Sign Language Translation using 3D Avatar Animator.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

Multimodality Weight and Score Fusion for SLAM.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

2019
Video Foreground Extraction Using Multi-View Receptive Field and Encoder-Decoder DCNN for Traffic and Surveillance Applications.
IEEE Trans. Veh. Technol., 2019

System-on-a-Chip (SoC)-Based Hardware Acceleration for an Online Sequential Extreme Learning Machine (OS-ELM).
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

2018
Video Foreground localization from Traditional Methods to Deep Learning.
PhD thesis, 2018

Fusion-based foreground enhancement for background subtraction using multivariate multi-model Gaussian distribution.
Inf. Sci., 2018

Effect of fusing features from multiple DCNN architectures in image classification.
IET Image Process., 2018

Non-iterative recomputation of dense layers for performance improvement of DCNN.
CoRR, 2018

A Foreground Inference Network for Video Surveillance Using Multi-View Receptive Field.
CoRR, 2018

New Trend in Video Foreground Detection Using Deep Learning.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018

Double Encoding - Slow Decoding Image to Image CNN for Foreground Identification with Application Towards Intelligent Transportation.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

2017
A Feature Embedding Strategy for High-level CNN representations from Multiple ConvNets.
CoRR, 2017

A late fusion approach for harnessing multi-cnn model high-level features.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

System-on-chip-based hardware acceleration for human detection in 2D/3D scenes.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

System-on-a-chip (SoC)-based hardware acceleration for extreme learning machine.
Proceedings of the 24th IEEE International Conference on Electronics, Circuits and Systems, 2017

A feature embedding strategy for high-level CNN representations from multiple convnets.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Fusion of transfer learning features and its application in image classification.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2016
A unified threshold updating strategy for multivariate Gaussian mixture based moving object detection.
Proceedings of the International Conference on High Performance Computing & Simulation, 2016

2015
Implementation of Auto Monitoring and Short-Message-Service System via GSM Modem.
CoRR, 2015

Vision-based registration for augmented reality-a short survey.
Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015

Label Fusion for Multi-atlas Segmentation Based on Majority Voting.
Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015


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