Items where Author is "Sangeetha, Radhakrishnan"

Article

Sheena, A D and Divya Sterlin, D and Sindhuja, K and Kuppan, P and Vishwa Priya, V and Sangeetha, Radhakrishnan and Padma Priya, D and Yogeshwari, M (2025) Deep Learning-Based OSIS-NET Framework for Accurate Detection and Classification of Osteoporosis Using MRI Imaging and Advanced Machine Learning Techniques. Journal of Information Systems Engineering and Management, 10 (27s). pp. 628-637. ISSN 2468-4376

Sangeetha, Radhakrishnan and Akila, A. (2021) Securing Distributed Database Using Elongated RSA Algorithm. 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS). pp. 1931-1936.

Book Section

Sangeetha, Radhakrishnan and Prasanth, A. and Sowndarya, K.K. Devi and Elngar, Ahmed A. and UNSPECIFIED1 (2025) Drone‐Based Application of Warehouse Logistics – A Case Study. In: Drones for Transportation Logistics and Disaster Management. Wiley, pp. 299-327. ISBN 9781394386451

Sangeetha, Radhakrishnan and Prasanth, A. (2025) Cognitive Intelligence and Distributed Computing Systems Applications in Smart Farming. In: Computer Vision in Smart Agriculture and Crop Management. Wiley, pp. 159-186. ISBN 9781394186686

Gowthami, G. and Sadhana, C. and Silvia Priscila, S. and Sangeetha, Radhakrishnan and Sakthivanitha, M. and Balaji, Kannan (2025) Enhancing Enterprise Network Security with Machine Learning: An In-Depth Analysis of Advanced Persistent Threat Detection. In: Lecture Notes in Networks and Systems ((LNNS,volume 1293)). Springer Nature Link, pp. 525-537.

Jeyalaksshmi, S. and Preethika, S. K. Piramu and Hannah, J. Grace and Sathya Narayanan, S.U. and Sangeetha, Radhakrishnan and Priscila, S. Silvia (2024) Prediction of Cancer Blood Disorder Using Adaptive Otsu Threshold and Deep Convolutional Neural Networks:. In: Advancements in Clinical Medicine. IGI Global Scientific Publishing, pp. 303-316.

Gnanaguru, Gnaneswari and Priscila, S.Silvia and Sakthivanitha, M. and Sangeetha, Radhakrishnan and Rajest, S. Suman and Singh, Sonia (2024) Thorough Analysis of Deep Learning Methods for Diagnosis of COVID-19 CT Images:. In: Advancements in Clinical Medicine. IGI, pp. 46-65.

Silvia Priscila, S. and Piramu Preethika, S. K. and Sangeetha, Radhakrishnan and Bagavathi Lakshmi, R. and Sakthivanitha, M. and Mahaveerakannan, R. (2024) Chaotic Map Cryptographic Hash-Blockchain Technology with Supply Chain Management. In: Lecture Notes in Networks and Systems. Springer, pp. 599-612.

Yogeshwari, M. and Sathya Geetha, S. and Sangeetha, Radhakrishnan and Padmini, A. and Megala, M. (2024) A Novel Method for Efficient Resource Management in Cloud Environment Using Improved Ant Colony Optimization. In: Advancements in Smart Computing and Information Security. Springer, pp. 450-461.