M. Navaneethakrishnan

According to our database, M. Navaneethakrishnan authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Fast fuzzy C-means clustering and deep Q network for personalised web directories recommendation.

M. Robinson Joel, M. Navaneethakrishnan, R. Priscilla, G. Gandhi Jabakumar

Int. J. Ad Hoc Ubiquitous Comput., 2024

Big data classification using SpinalNet-Fuzzy-ResNeXt based on spark architecture with data mining approach.

M. Robinson Joel, K. Rajakumari, S. Anu Priya, M. Navaneethakrishnan

Data Knowl. Eng., 2024

2023

A novel hybrid heuristic adopted ensemble of deep learning models for COVID-19 detection framework using CT and X-Ray images.

C. Mary Shiba, M. Navaneethakrishnan, V. Kalaipriya, E. Jothi, S. Gowsalya

Comput. methods Biomech. Biomed. Eng. Imaging Vis., November, 2023

Water cycle tunicate swarm algorithm based deep residual network for virus detection with gene expression data.

Karthi S., L. R. Sudha, M. Navaneethakrishnan

Comput. methods Biomech. Biomed. Eng. Imaging Vis., September, 2023

Deep Fuzzy SegNet-based lung nodule segmentation and optimized deep learning for lung cancer detection.

M. Navaneethakrishnan, M. Vijay Anand, G. Vasavi, Vaddadi Vasudha Rani

Pattern Anal. Appl., August, 2023

ASCA-squeeze net: Aquila sine cosine algorithm enabled hybrid deep learning networks for digital image forgery detection.

G. Nirmalapriya, Balajee Maram, Ramanathan Lakshmanan, M. Navaneethakrishnan

Comput. Secur., May, 2023

2021

Atom search-Jaya-based deep recurrent neural network for liver cancer detection.

Mariappan Navaneethakrishnan, Subbiah Vairamuthu, Govindaswamy Parthasarathy, Rajan Cristin

IET Image Process., 2021