K. Michael Mahesh

According to our database, K. Michael Mahesh authored at least 7 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2023

HY-LSTM: A new time series deep learning architecture for estimation of pedestrian time to cross in advanced driver assistance system.

S. Veluchamy, K. Michael Mahesh, Muthukrishnan R, Karthi S

J. Vis. Commun. Image Represent., December, 2023

DeepDrive: A braking decision making approach using optimized GAN and Deep CNN for advanced driver assistance systems.

S. Veluchamy, K. Michael Mahesh, Pon Bharathi A., Paul T. Sheeba

Eng. Appl. Artif. Intell., 2023

2022

RBorderNet: Rider Border Collie Optimization-based Deep Convolutional Neural Network for road scene segmentation and road intersection classification.

K. Michael Mahesh, S. Veluchamy, J. Thirumalai, Sureshkanna P.

Digit. Signal Process., 2022

2021

Detection and Localization of Abnormalities in Surveillance Video Using Timerider-Based Neural Network.

S. Veluchamy, L. R. Karlmarx, K. Michael Mahesh

Comput. J., 2021

2020

Multiclassifier for severity-level categorization of glioma tumors using multimodal magnetic resonance imaging brain images.

K. Michael Mahesh, J. Arokia Renjit

Int. J. Imaging Syst. Technol., 2020

DeepJoint segmentation for the classification of severity-levels of glioma tumour using multimodal MRI images.

K. Michael Mahesh, J. Arokia Renjit

IET Image Process., 2020

2018

Evolutionary intelligence for brain tumor recognition from MRI images: a critical study and review.

K. Michael Mahesh, J. Arokia Renjit

Evol. Intell., 2018