Search Results - "Mathivanan, Sandeep Kumar"

DrowSFormer-XAI: A Cross-Attentive Neural Network-Transformer Fusion Framework for Drowsiness Detection with Explainable AI.

Authors: Rajalingam, Kathirvel Srinivasan, Saravanan Govindaraju, Sakthi et al.

Source: Neural Processing Letters; Apr2026, Vol. 58 Issue 2, p1-46, 46p

A multi-modal geospatial–temporal LSTM based deep learning framework for predictive modeling of urban mobility patterns.

Authors: S.K.B, Sangeetha Mathivanan, Sandeep Kumar Rajadurai, Hariharan et al.

Source: Scientific Reports. 12/30/2024, Vol. 14 Issue 1, p1-19. 19p.

iLIAC: An approach of identifying dissimilar groups on unstructured numerical image dataset using improved agglomerative clustering technique.

Authors: S., Sreedhar Kumar Ahmed, Syed Thouheed Fathima, Afifa Salsabil et al.

Source: Multimedia Tools & Applications; Nov2024, Vol. 83 Issue 39, p86359-86381, 23p

Ground Theory Based Empirical Analysis of Security Issues and Challenges Associated with Internet of Things.

Authors: S. K. B., Sangeetha Mathivanan, Sandeep Kumar Mallik, Saurav et al.

Source: Artificial Intelligence & Applications (2811-0854); Jan2026, Vol. 4 Issue 1, p68-82, 15p

Enhancing cervical cancer detection and robust classification through a fusion of deep learning models.

Authors: Mathivanan, Sandeep Kumar Francis, Divya Srinivasan, Saravanan et al.

Source: Scientific Reports. 5/11/2024, Vol. 14 Issue 1, p1-14. 14p.

Employing deep learning and transfer learning for accurate brain tumor detection.

Authors: Mathivanan, Sandeep Kumar Sonaimuthu, Sridevi Murugesan, Sankar et al.

Source: Scientific Reports. 3/27/2024, Vol. 14 Issue 1, p1-15. 15p.

Cervical Cancer Classification Using Deep Learning Approach Using Colposcopy Images.

Authors: Dayalane, Sundaranarayana Murugesan, Sankar Mathivanan, Sandeep Kumar et al.

Source: Neural Processing Letters; Aug2025, Vol. 57 Issue 4, p1-27, 27p

Early Detection of Banana Leaf Disease Using Novel Deep Convolutional Neural Network.

Authors: Rajalakshmi, N. R. Saravanan, S. Arunpandian, J. et al.

Source: Journal of Data Science & Intelligent Systems (JDSIS); Jul2025, Vol. 3 Issue 3, p192-199, 8p

Smart Irrigation System Using Soil Moisture Prediction with Deep CNN for Various Soil Types.

Authors: S. K. B., Sangeetha Immanuel, Rajeshwari Rajesh Mathivanan, Sandeep Kumar et al.

Source: Artificial Intelligence & Applications (2811-0854); Apr2025, Vol. 3 Issue 2, p200-210, 11p

Influences of Aqueous Nanofluid Emulsion on Diesel Engine Performance, Combustion, and Emission: IoT (Emission Monitoring System).

Authors: Venkatesh, B. Babu, J. Chinna Mathivanan, Sandeep Kumar et al.

Source: Advances in Materials Science & Engineering; 9/28/2022, p1-9, 9p

Simulating crop yield estimation and prediction through geospatial data for specific regional analysis.

Authors: Mathivanan, Sandeep Kumar Jayagopal, Prabhu

Source: Earth Science Informatics. Mar2023, Vol. 16 Issue 1, p1005-1023. 19p.

Subject Terms: *Crop yields, *Geospatial data, *Random forest algorithms, *Vegetation mapping, *Climate change

Company/Entity: Sentinel-1 (Artificial satellite)

Sugarcane leaf disease classification using deep neural network approach.

Authors: Srinivasan, Saravanan Prabin, S. M. Mathivanan, Sandeep Kumar et al.

Source: BMC Plant Biology. 3/4/2025, Vol. 25 Issue 1, p1-20. 20p.

Utilizing satellite and UAV data for crop yield prediction and monitoring through deep learning.

Authors: Mathivanan, Sandeep Kumar Jayagopal, Prabhu

Source: Acta Geophysica. Dec2022, Vol. 70 Issue 6, p2991-3004. 14p.

Automated brain tumor diagnostics: Empowering neuro-oncology with deep learning-based MRI image analysis.

Authors: Gunasekaran, Subathra Mercy Bai, Prabin Selvestar Mathivanan, Sandeep Kumar et al.

Source: PLoS ONE. 8/27/2024, Vol. 19 Issue 8, p1-23. 23p.

A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT.

Authors: R, Gayathri S, Maheswari Mathivanan, Sandeep Kumar et al.

Source: Scientific Reports. 7/8/2024, Vol. 14 Issue 1, p1-23. 23p.

Exploring fetal brain tumor glioblastoma symptom verification with self organizing maps and vulnerability data analysis.

Authors: Natarajan, Suresh Kumar S, Jayanthi Mathivanan, Sandeep Kumar et al.

Source: Scientific Reports. 4/26/2024, Vol. 14 Issue 1, p1-23. 23p.

Detection and classification of brain tumor using hybrid deep learning models.

Authors: Babu Vimala, Baiju Srinivasan, Saravanan Mathivanan, Sandeep Kumar et al.

Source: Scientific Reports. 12/27/2023, Vol. 13 Issue 1, p1-17. 17p.

Detection and classification of adult epilepsy using hybrid deep learning approach.

Authors: Srinivasan, Saravanan Dayalane, Sundaranarayana Mathivanan, Sandeep kumar et al.

Source: Scientific Reports. 11/18/2023, Vol. 13 Issue 1, p1-17. 17p.

Deep learning models for predicting the position of the head on an X-ray image for Cephalometric analysis.

Authors: Prasanna, K. Jyothi, Chinna Babu Mathivanan, Sandeep Kumar et al.

Source: Intelligent Data Analysis. 2023 Supplement 1, Vol. 27, p3-27. 25p.

Multimodal hybrid convolutional neural network based brain tumor grade classification.

Authors: Rohini, A. Praveen, Carol Mathivanan, Sandeep Kumar et al.

Source: BMC Bioinformatics. 10/10/2023, Vol. 24 Issue 1, p1-20. 20p.