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Akilan Thangarajah
Person information
- affiliation: Lakehead University, Department of Computer Science, Thunder Bay, ON, Canada
- affiliation (PhD 2018): University of Windsor, ON, Canada
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2020 – today
- 2024
- [c22]Nusrat Jahan, Thangarajah Akilan, Tharrengini Suresh:
Improving Pavement Crack Segmentation Using Attention Mechanism and Self-gated Activation. CCECE 2024: 853-858 - [c21]Nusrat Jahan, Thangarajah Akilan, Thanh Minh Nguyen:
Improved Semi-Supervised Attention GAN for Semantic Segmentation. PACRIM 2024: 1-6 - [i14]Eduardo Reis, Thangarajah Akilan, Mohammed Khalid:
Phasor-Driven Acceleration for FFT-based CNNs. CoRR abs/2406.00290 (2024) - [i13]Tushar Prasanna Swaminathan, Christopher Silver, Thangarajah Akilan:
Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation. CoRR abs/2406.17749 (2024) - 2023
- [c20]Darshan Gangaram Sarkale, Vedant Jagdishbhai Gabani, Wandong Zhang, Thangarajah Akilan:
NLP-driven Content Classification Towards Fake News and Bully Detection. AIBThings 2023: 1-5 - [c19]Parth Lalitkumar Bhatt, Dhruva Shah, Christopher Silver, Wandong Zhang, Thangarajah Akilan:
Dual-Modality Deep Feature-based Anomaly Detection for Video Surveillance. CCECE 2023: 60-64 - [c18]Christopher Silver, Thangarajah Akilan:
A Novel Approach for Fall Detection Using Thermal Imaging and a Stacking Ensemble of Autoencoder and 3D-CNN Models. CCECE 2023: 71-76 - [i12]Dhrumil Patel, Dhruv Patel, Rudra Saxena, Thangarajah Akilan:
Multi-class Brain Tumor Segmentation using Graph Attention Network. CoRR abs/2302.05598 (2023) - [i11]Siavash Hosseini, Thangarajah Akilan:
Advanced Deep Regression Models for Forecasting Time Series Oil Production. CoRR abs/2308.16105 (2023) - [i10]Hrishikesh Vachhani, Thangarajah Akilan, Yash Devmurari, Nisharaff Shaik, Dhruvisha Patel:
Low-light Pedestrian Detection in Visible and Infrared Image Feeds: Issues and Challenges. CoRR abs/2311.08557 (2023) - 2022
- [j12]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan, W. G. Will Zhao, Qingzhong Li, Jiong Niu:
Fast Ship Detection With Spatial-Frequency Analysis and ANOVA-Based Feature Fusion. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j11]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan, Ming Li:
HKPM: A Hierarchical Key-Area Perception Model for HFSWR Maritime Surveillance. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j10]Hui Zhang, Yanan Song, Yurong Chen, Hang Zhong, Li Liu, Yaonan Wang, Thangarajah Akilan, Q. M. Jonathan Wu:
MRSDI-CNN: Multi-Model Rail Surface Defect Inspection System Based on Convolutional Neural Networks. IEEE Trans. Intell. Transp. Syst. 23(8): 11162-11177 (2022) - [c17]Siavash Hosseini, Amirmohammad Shahbandegan, Thangarajah Akilan:
Deep Neural Network Modeling for Accurate Electric Motor Temperature Prediction. CCECE 2022: 170-175 - [c16]Nusrat Jahan, Thangarajah Akilan, Aparna Ravindra Phalke:
Machine Learning for Global Food Security: A Concise Overview. IHTC 2022: 63-68 - [i9]Jun Li, Thangarajah Akilan:
Global Attention-based Encoder-Decoder LSTM Model for Temperature Prediction of Permanent Magnet Synchronous Motors. CoRR abs/2208.00293 (2022) - [i8]Mohammed Nowshad Ruhani Chowdhury, Wandong Zhang, Thangarajah Akilan:
ANOVA-based Automatic Attribute Selection and a Predictive Model for Heart Disease Prognosis. CoRR abs/2208.00296 (2022) - 2021
- [j9]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan, Hui Zhang:
A Width-Growth Model With Subnetwork Nodes and Refinement Structure for Representation Learning and Image Classification. IEEE Trans. Ind. Informatics 17(3): 1562-1572 (2021) - [j8]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan:
Multimodel Feature Reinforcement Framework Using Moore-Penrose Inverse for Big Data Analysis. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5008-5021 (2021) - [c15]Apurva Pandya, Catherine Samuel, Nisargkumar Patel, Vaibhavkumar Patel, Thangarajah Akilan:
Multi-channel MRI Embedding: An Effective Strategy for Enhancing Brain Tumor Segmentation. AIPR 2021: 1-8 - [i7]Thangarajah Akilan, Edna Johnson, Japneet Sandhu, Ritika Chadha, Gaurav Taluja:
A Hybrid Learner for Simultaneous Localization and Mapping. CoRR abs/2101.01158 (2021) - [i6]Thangarajah Akilan:
CxSE: Chest X-ray Slow Encoding CNN forCOVID-19 Diagnosis. CoRR abs/2106.12157 (2021) - 2020
- [j7]Yimin Yang, Q. M. Jonathan Wu, Xiexing Feng, Thangarajah Akilan:
Recomputation of the Dense Layers for Performance Improvement of DCNN. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2912-2925 (2020) - [j6]Thangarajah Akilan, Qingming Jonathan Wu, Amin Safaei, Jie Huo, Yimin Yang:
A 3D CNN-LSTM-Based Image-to-Image Foreground Segmentation. IEEE Trans. Intell. Transp. Syst. 21(3): 959-971 (2020) - [j5]Akilan Thangarajah, Q. M. Jonathan Wu:
sEnDec: An Improved Image to Image CNN for Foreground Localization. IEEE Trans. Intell. Transp. Syst. 21(10): 4435-4443 (2020) - [c14]Thangarajah Akilan, Edna Johnson, Gaurav Taluja, Japneet Sandhu, Ritika Chadha:
Multimodality Weight and Score Fusion for SLAM. CCECE 2020: 1-4 - [c13]Bhavinkumar Devendrabhai Patel, Harshit Balvantrai Patel, Manthan Ashok Khanvilkar, Nidhi Rajendrakumar Patel, Akilan Thangarajah:
ES2ISL: An Advancement in Speech to Sign Language Translation using 3D Avatar Animator. CCECE 2020: 1-5 - [c12]Thangarajah Akilan, Amitha Thiagarajan, Bharathwaaj Venkatesan, Sowmiya Thirumeni, Sanjana Gurusamy Chandrasekaran:
Quantifying the Impact of Complementary Visual and Textual Cues Under Image Captioning. SMC 2020: 389-394 - [c11]Thangarajah Akilan, Dhruvit Shah, Nishi Patel, Rinkal Mehta:
Fast Detection of Duplicate Bug Reports using LDA-based Topic Modeling and Classification. SMC 2020: 1622-1629 - [i5]Apurva Pandya, Catherine Samuel, Nisargkumar Patel, Vaibhavkumar Patel, Akilan Thangarajah:
Multi-channel MRI Embedding: An EffectiveStrategy for Enhancement of Human Brain Whole Tumor Segmentation. CoRR abs/2009.06115 (2020)
2010 – 2019
- 2019
- [j4]Amin Safaei, Q. M. Jonathan Wu, Akilan Thangarajah, Yimin Yang:
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. 38(11): 2127-2138 (2019) - [j3]Akilan Thangarajah, Q. M. Jonathan Wu, Wandong Zhang:
Video Foreground Extraction Using Multi-View Receptive Field and Encoder-Decoder DCNN for Traffic and Surveillance Applications. IEEE Trans. Veh. Technol. 68(10): 9478-9493 (2019) - 2018
- [b1]Akilan Thangarajah:
Video Foreground localization from Traditional Methods to Deep Learning. University of Windsor, Ontario, Canada, 2018 - [j2]Akilan Thangarajah, Qingming Jonathan Wu, Hui Zhang:
Effect of fusing features from multiple DCNN architectures in image classification. IET Image Process. 12(7): 1102-1110 (2018) - [j1]Akilan Thangarajah, Q. M. Jonathan Wu, Yimin Yang:
Fusion-based foreground enhancement for background subtraction using multivariate multi-model Gaussian distribution. Inf. Sci. 430: 414-431 (2018) - [c10]Akilan Thangarajah, Q. M. Jonathan Wu:
Double Encoding - Slow Decoding Image to Image CNN for Foreground Identification with Application Towards Intelligent Transportation. iThings/GreenCom/CPSCom/SmartData 2018: 395-403 - [c9]Akilan Thangarajah, Q. M. Jonathan Wu, Wei Jiang, Amin Safaei, Jie Huo:
New Trend in Video Foreground Detection Using Deep Learning. MWSCAS 2018: 889-892 - [i4]Akilan Thangarajah:
A Foreground Inference Network for Video Surveillance Using Multi-View Receptive Field. CoRR abs/1801.06593 (2018) - [i3]Yimin Yang, Q. M. Jonathan Wu, Xiexing Feng, Akilan Thangarajah:
Non-iterative recomputation of dense layers for performance improvement of DCNN. CoRR abs/1809.05606 (2018) - 2017
- [c8]Akilan Thangarajah, Q. M. Jonathan Wu, Yimin Yang, Amin Safaei:
Fusion of transfer learning features and its application in image classification. CCECE 2017: 1-5 - [c7]Akilan Thangarajah, Q. M. Jonathan Wu, Wei Jiang:
A feature embedding strategy for high-level CNN representations from multiple convnets. GlobalSIP 2017: 1195-1199 - [c6]Amin Safaei, Q. M. Jonathan Wu, Yimin Yang, Akilan Thangarajah:
System-on-a-chip (SoC)-based hardware acceleration for extreme learning machine. ICECS 2017: 470-473 - [c5]Akilan Thangarajah, Q. M. Jonathan Wu, Amin Safaei, Wei Jiang:
A late fusion approach for harnessing multi-cnn model high-level features. SMC 2017: 566-571 - [c4]Amin Safaei, Q. M. Jonathan Wu, Akilan Thangarajah:
System-on-chip-based hardware acceleration for human detection in 2D/3D scenes. SMC 2017: 1041-1045 - [i2]Akilan Thangarajah, Q. M. Jonathan Wu, Wei Jiang:
A Feature Embedding Strategy for High-level CNN representations from Multiple ConvNets. CoRR abs/1705.04301 (2017) - 2016
- [c3]Akilan Thangarajah, Q. M. Jonathan Wu, Jie Huo:
A unified threshold updating strategy for multivariate Gaussian mixture based moving object detection. HPCS 2016: 570-574 - 2015
- [c2]Jie Huo, Guanghui Wang, Q. M. Jonathan Wu, Akilan Thangarajah:
Label Fusion for Multi-atlas Segmentation Based on Majority Voting. ICIAR 2015: 100-106 - [c1]Akilan Thangarajah, Q. M. Jonathan Wu, Bakri Madon, Adib Kabir Chowdhury:
Vision-based registration for augmented reality-a short survey. ICSIPA 2015: 463-468 - [i1]Akilan Thangarajah, Buddhapala Wongkaew, Mongkol Ekpanyapong:
Implementation of Auto Monitoring and Short-Message-Service System via GSM Modem. CoRR abs/1501.01548 (2015)
Coauthor Index
aka: Qingming Jonathan Wu
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last updated on 2024-11-25 23:40 CET by the dblp team
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