Atom search-Jaya-based deep recurrent neural network for liver cancer detection. - Mariappan Navaneethakrishnan; Subbiah Vairamuthu; Govindaswamy Parthasarathy; Rajan Cristin (IET Image Process., 2021)

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., 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., 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., 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., 2023)

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)

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)