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Journal Articles
- 2023
[j7]S. Veluchamy, K. Michael Mahesh
, Pon Bharathi A., Paul T. Sheeba:
DeepDrive: A braking decision making approach using optimized GAN and Deep CNN for advanced driver assistance systems. Eng. Appl. Artif. Intell. 123(Part A): 106111 (2023)- [j6]S. Veluchamy, K. Michael Mahesh, Muthukrishnan R, Karthi S:
HY-LSTM: A new time series deep learning architecture for estimation of pedestrian time to cross in advanced driver assistance system. J. Vis. Commun. Image Represent. 97: 103982 (2023) - 2022
- [j5]K. Michael Mahesh, S. Veluchamy, J. Thirumalai, Sureshkanna P.:
RBorderNet: Rider Border Collie Optimization-based Deep Convolutional Neural Network for road scene segmentation and road intersection classification. Digit. Signal Process. 129: 103626 (2022) - 2021
- [j4]S. Veluchamy, L. R. Karlmarx, K. Michael Mahesh:
Detection and Localization of Abnormalities in Surveillance Video Using Timerider-Based Neural Network. Comput. J. 64(12): 1886-1906 (2021) - 2020
- [j3]K. Michael Mahesh, J. Arokia Renjit:
DeepJoint segmentation for the classification of severity-levels of glioma tumour using multimodal MRI images. IET Image Process. 14(11): 2541-2552 (2020) - [j2]K. Michael Mahesh, J. Arokia Renjit:
Multiclassifier for severity-level categorization of glioma tumors using multimodal magnetic resonance imaging brain images. Int. J. Imaging Syst. Technol. 30(1): 234-251 (2020) - 2018
- [j1]K. Michael Mahesh, J. Arokia Renjit:
Evolutionary intelligence for brain tumor recognition from MRI images: a critical study and review. Evol. Intell. 11(1-2): 19-30 (2018)
Coauthor Index
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