S. Kumar and M. Bhagat, “A comparative analysis of cryptographic algorithms in iot environment,” in International Conference on IoT and Its Application (ICIA), 2024.
M. Bhagat, D. Kumar, V. Kumar, S. Kumar, and M. K. Dixit, “Agrismart: A smart solution of dataset crisis using gan for leaf image classification disease prediction,” 2022, ISBN 978-81-957455-0.
M. K. Dixit, D. Kumar, V. Kumar, M. Bhagat, and S. Kumar, “Hair loss analysis using machine learning,” 2022, ISBN 978-81-957455-0
S. Kumar, D. Kumar, V. Kumar, M. Bhagat, and M. K. Dixit, “Brain tumour classification and segmentation using convolution neural net- works,” 2022, ISBN 978-81-957455-0.
M. Bhagat, D. Kumar, I. Haque, H. S. Munda, and R. Bhagat, “Plant leaf disease classification using grid search based svm,” in 2nd International conference on data, engineering and applications (IDEA), IEEE, 2020, pp. 1–6.
M. Bhagat, D. Kumar, R. Mahmood, B. Pati, and M. Kumar, “Bell pepper leaf disease classification using cnn,” in 2nd international conference on data, engineering and applications (IDEA), IEEE, 2020, pp. 1–5.
M. Bhagat, D. Kumar, and D. Kumar, “Role of internet of things (iot) in smart farming: A brief survey,” IEEE, 2019, pp. 141–145.
P. Kumar, M. Bhagat, and D. Kumar, “A review of supervised and unsupervised approaches to sentiment analysis,” IEEE, 2019, ISBN 978-1-7281-1349-4–014.
S. Kumar, D. Kumar, and M. Bhagat, “Rapid and efficient medical image segmentation using thresholding and clahe with 3-level fcm clustering,” in Proceedings of the international conference on advances in electronics, electrical & computational intelligence (ICAEEC), 2019.
M. Sharma, M. Bhagat, and D. Kumar, “Ubiquitous and emerging concepts of sensors,” IEEE, 2019, pp. 341– 347.