Akilan Thangarajah

According to our database, Akilan Thangarajah authored at least 48 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation.

Tushar Prasanna Swaminathan, Christopher Silver, Thangarajah Akilan

CoRR, 2024

Phasor-Driven Acceleration for FFT-based CNNs.

Eduardo Reis, Thangarajah Akilan, Mohammed Khalid

CoRR, 2024

Improved Semi-Supervised Attention GAN for Semantic Segmentation.

Nusrat Jahan, Thangarajah Akilan, Thanh Minh Nguyen

Proceedings of the IEEE Pacific Rim Conference on Communications, 2024

Improving Pavement Crack Segmentation Using Attention Mechanism and Self-gated Activation.

Nusrat Jahan, Thangarajah Akilan, Tharrengini Suresh

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024

2023

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

Hrishikesh Vachhani, Thangarajah Akilan, Yash Devmurari, Nisharaff Shaik, Dhruvisha Patel

CoRR, 2023

Advanced Deep Regression Models for Forecasting Time Series Oil Production.

Siavash Hosseini, Thangarajah Akilan

CoRR, 2023

Multi-class Brain Tumor Segmentation using Graph Attention Network.

Dhrumil Patel, Dhruv Patel, Rudra Saxena, Thangarajah Akilan

CoRR, 2023

A Novel Approach for Fall Detection Using Thermal Imaging and a Stacking Ensemble of Autoencoder and 3D-CNN Models.

Christopher Silver, Thangarajah Akilan

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023

Dual-Modality Deep Feature-based Anomaly Detection for Video Surveillance.

Parth Lalitkumar Bhatt, Dhruva Shah, Christopher Silver, Wandong Zhang, Thangarajah Akilan

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023

NLP-driven Content Classification Towards Fake News and Bully Detection.

Darshan Gangaram Sarkale, Vedant Jagdishbhai Gabani, Wandong Zhang, Thangarajah Akilan

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.

Hui Zhang, Yanan Song, Yurong Chen, Hang Zhong, Li Liu, Yaonan Wang, Thangarajah Akilan, Q. M. Jonathan Wu

IEEE Trans. Intell. Transp. Syst., 2022

HKPM: A Hierarchical Key-Area Perception Model for HFSWR Maritime Surveillance.

Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan, Ming Li

IEEE Trans. Geosci. Remote. Sens., 2022

Fast Ship Detection With Spatial-Frequency Analysis and ANOVA-Based Feature Fusion.

Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan, W. G. Will Zhao, Qingzhong Li, Jiong Niu

IEEE Geosci. Remote. Sens. Lett., 2022

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

Mohammed Nowshad Ruhani Chowdhury, Wandong Zhang, Thangarajah Akilan

CoRR, 2022

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

Jun Li, Thangarajah Akilan

CoRR, 2022

Machine Learning for Global Food Security: A Concise Overview.

Nusrat Jahan, Thangarajah Akilan, Aparna Ravindra Phalke

Proceedings of the IEEE International Humanitarian Technology Conference, 2022

Deep Neural Network Modeling for Accurate Electric Motor Temperature Prediction.

Siavash Hosseini, Amirmohammad Shahbandegan, Thangarajah Akilan

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.

Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan

IEEE Trans. Neural Networks Learn. Syst., 2021

A Width-Growth Model With Subnetwork Nodes and Refinement Structure for Representation Learning and Image Classification.

Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan, Hui Zhang

IEEE Trans. Ind. Informatics, 2021

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

Thangarajah Akilan

CoRR, 2021

A Hybrid Learner for Simultaneous Localization and Mapping.

Thangarajah Akilan, Edna Johnson, Japneet Sandhu, Ritika Chadha, Gaurav Taluja

CoRR, 2021

Multi-channel MRI Embedding: An Effective Strategy for Enhancing Brain Tumor Segmentation.

Apurva Pandya, Catherine Samuel, Nisargkumar Patel, Vaibhavkumar Patel, Thangarajah Akilan

Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

2020

A 3D CNN-LSTM-Based Image-to-Image Foreground Segmentation.

Thangarajah Akilan, Qingming Jonathan Wu, Amin Safaei, Jie Huo, Yimin Yang

IEEE Trans. Intell. Transp. Syst., 2020

sEnDec: An Improved Image to Image CNN for Foreground Localization.

Akilan Thangarajah, Q. M. Jonathan Wu

IEEE Trans. Intell. Transp. Syst., 2020

Recomputation of the Dense Layers for Performance Improvement of DCNN.

Yimin Yang, Q. M. Jonathan Wu, Xiexing Feng, Thangarajah Akilan

IEEE Trans. Pattern Anal. Mach. Intell., 2020

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

Apurva Pandya, Catherine Samuel, Nisargkumar Patel, Vaibhavkumar Patel, Akilan Thangarajah

CoRR, 2020

Quantifying the Impact of Complementary Visual and Textual Cues Under Image Captioning.

Thangarajah Akilan, Amitha Thiagarajan, Bharathwaaj Venkatesan, Sowmiya Thirumeni, Sanjana Gurusamy Chandrasekaran

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.

Thangarajah Akilan, Dhruvit Shah, Nishi Patel, Rinkal Mehta

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.

Bhavinkumar Devendrabhai Patel, Harshit Balvantrai Patel, Manthan Ashok Khanvilkar, Nidhi Rajendrakumar Patel, Akilan Thangarajah

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

Multimodality Weight and Score Fusion for SLAM.

Thangarajah Akilan, Edna Johnson, Gaurav Taluja, Japneet Sandhu, Ritika Chadha

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.

Akilan Thangarajah, Q. M. Jonathan Wu, Wandong Zhang

IEEE Trans. Veh. Technol., 2019

System-on-a-Chip (SoC)-Based Hardware Acceleration for an Online Sequential Extreme Learning Machine (OS-ELM).

Amin Safaei, Q. M. Jonathan Wu, Akilan Thangarajah, Yimin Yang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

2018

Video Foreground localization from Traditional Methods to Deep Learning.

Akilan Thangarajah

PhD thesis, 2018

Fusion-based foreground enhancement for background subtraction using multivariate multi-model Gaussian distribution.

Akilan Thangarajah, Q. M. Jonathan Wu, Yimin Yang

Inf. Sci., 2018

Effect of fusing features from multiple DCNN architectures in image classification.

Akilan Thangarajah, Qingming Jonathan Wu, Hui Zhang

IET Image Process., 2018

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

Yimin Yang, Q. M. Jonathan Wu, Xiexing Feng, Akilan Thangarajah

CoRR, 2018

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

Akilan Thangarajah

CoRR, 2018

New Trend in Video Foreground Detection Using Deep Learning.

Akilan Thangarajah, Q. M. Jonathan Wu, Wei Jiang, Amin Safaei, Jie Huo

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.

Akilan Thangarajah, Q. M. Jonathan Wu

Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

2017

A late fusion approach for harnessing multi-cnn model high-level features.

Akilan Thangarajah, Q. M. Jonathan Wu, Amin Safaei, Wei Jiang

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.

Amin Safaei, Q. M. Jonathan Wu, Akilan Thangarajah

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.

Amin Safaei, Q. M. Jonathan Wu, Yimin Yang, Akilan Thangarajah

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.

Akilan Thangarajah, Q. M. Jonathan Wu, Wei Jiang

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Fusion of transfer learning features and its application in image classification.

Akilan Thangarajah, Q. M. Jonathan Wu, Yimin Yang, Amin Safaei

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.

Akilan Thangarajah, Q. M. Jonathan Wu, Jie Huo

Proceedings of the International Conference on High Performance Computing & Simulation, 2016

2015

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

Akilan Thangarajah, Buddhapala Wongkaew, Mongkol Ekpanyapong

CoRR, 2015

Vision-based registration for augmented reality-a short survey.

Akilan Thangarajah, Q. M. Jonathan Wu, Bakri Madon, Adib Kabir Chowdhury

Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015

Label Fusion for Multi-atlas Segmentation Based on Majority Voting.

Jie Huo, Guanghui Wang, Q. M. Jonathan Wu, Akilan Thangarajah

Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015