A deep neural network based classifier for brain tumor diagnosis. - Ambeshwar Kumar; Manikandan Ramachandran; Amir H. Gandomi; Rizwan Patan; Szymon Lukasik; Kattur Soundarapandian Ravichandran (Appl. Soft Comput., 2019)

Cryptography-based deep artificial structure for secure communication using IoT-enabled cyber-physical system. - Chakrapani Kannan; Dakshinamoorthy Muralidharan; Manikandan Ramachandran; Rizwan Patan; Hariharan Kalyanaraman; Ambeshwar Kumar (IET Commun., 2021)

Doctor's Dilemma: Evaluating an Explainable Subtractive Spatial Lightweight Convolutional Neural Network for Brain Tumor Diagnosis. - Ambeshwar Kumar; Ramachandran Manikandan; Utku Kose; Deepak Gupta 002; Suresh Chandra Satapathy (ACM Trans. Multim. Comput. Commun. Appl., 2021)

A study on specific learning algorithms pertaining to classify lung cancer disease. - Malavika Saminathan; Manikandan Ramachandran; Ambeshwar Kumar; Rajkumar Kulandaivel; Ashish Khanna; Prakashkumar Singh (Expert Syst. J. Knowl. Eng., 2022)

Holistic Feistel Authenticated Learning-Based Authorization for Protecting the Internet of Things from Cyber Attacks. - Robbi Rahim; Manikandan Ramachandran; Prassanna Jayachandran; Hariharan Kalyanaraman; Vidhyacharan Bhaskar; Ambeshwar Kumar (Wirel. Pers. Commun., 2022)

Mutual Informative MapReduce and Minimum Quadrangle Classification for Brain Tumor Big Data. - Manikandan Ramachandran; Rizwan Patan; Ambeshwar Kumar; Soheil Hosseini; Amir H. Gandomi (IEEE Trans. Engineering Management, 2023)

An Enhanced Exploration of Sentimental Analysis in Health Care. - Chakrapani Kannan; Muniyegowda Kempanna; Mohamed Iqubal Safa; Thiyagarajan Kavitha; Manikandan Ramachandran; Vidhyacharan Bhaskar; Ambeshwar Kumar (Wirel. Pers. Commun., 2023)