Sandeep Kumar Mathivanan

According to our database, Sandeep Kumar Mathivanan authored at least 29 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A hybrid deep CNN model for brain tumor image multi-classification.

Saravanan Srinivasan, Divya Francis, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Basu Dev Shivahare, Mohd Asif Shah

BMC Medical Imaging, December, 2024

Multimodal Biomedical Image Segmentation using Multi-Dimensional U-Convolutional Neural Network.

Saravanan Srinivasan, Kirubha Durairaju, K. Deeba, Sandeep Kumar Mathivanan, P. Karthikeyan, Mohd Asif Shah

BMC Medical Imaging, December, 2024

Efficient brain tumor grade classification using ensemble deep learning models.

Sankar M, Baiju BV, Preethi D, Ananda Kumar S, Sandeep Kumar Mathivanan, Mohd Asif Shah

BMC Medical Imaging, December, 2024

Robust brain tumor classification by fusion of deep learning and channel-wise attention mode approach.

Balamurugan A. G, Saravanan Srinivasan, Preethi D, Monica P, Sandeep Kumar Mathivanan, Mohd Asif Shah

BMC Medical Imaging, December, 2024

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

Sreedhar Kumar S., Syed Thouheed Ahmed, Afifa Salsabil Fathima, Sandeep Kumar Mathivanan, Prabhu Jayagopal, Abdu Saif, Sachin Kumar Gupta, Garima Sinha

Multim. Tools Appl., November, 2024

Secure Healthcare Access Control System (SHACS) for Anomaly Detection and Enhanced Security in Cloud-Based Healthcare Applications.

S. K. B. Sangeetha, C. Selvarathi, Sandeep Kumar Mathivanan, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

IEEE Access, 2024

An Empirical Analysis of Multimodal Affective Computing Approaches for Advancing Emotional Intelligence in Artificial Intelligence for Healthcare.

S. K. B. Sangeetha, Rajeswari Rajesh Immanuel, Sandeep Kumar Mathivanan, Jaehyuk Cho, Veerappampalayam Easwaramoorthy Sathishkumar

IEEE Access, 2024

2023

TVFx - CoVID-19 X-Ray images classification approach using neural networks based feature thresholding technique.

Syed Thouheed Ahmed, Syed Muzamil Basha, Muthukumaran Venkatesan, Sandeep Kumar Mathivanan, Saurav Mallik, Najah Alsubaie, Mohammed S. Alqahtani

BMC Medical Imaging, December, 2023

Multimodal hybrid convolutional neural network based brain tumor grade classification.

A. Rohini, Carol Praveen, Sandeep Kumar Mathivanan, V. Muthukumaran, Saurav Mallik, Mohammed S. Alqahtani, Amal Al-Rasheed, Ben Othman Soufiene

BMC Bioinform., December, 2023

Detection for melanoma skin cancer through ACCF, BPPF, and CLF techniques with machine learning approach.

P. Kavitha, G. Ayyappan, Prabhu Jayagopal, Sandeep Kumar Mathivanan, Saurav Mallik, Amal Al-Rasheed, Mohammed S. Alqahtani, Ben Othman Soufiene

BMC Bioinform., December, 2023

Prescreening and Triage of COVID-19 Patients Through Chest X-Ray Images Using Deep Learning Model.

Sukumar Rajendran, Ramesh Kumar Panneerselvam, Kumar Purushothaman Janaki, Vijay Anand Rajasekaran, Suganya Pandy, Sandeep Kumar Mathivanan, Prabhu Jayagopal

Big Data, December, 2023

An Improved MangoNet Architecture Using Harris Hawks Optimization for Fruit Classification with Uncertainty Estimation.

Rajalaxmi Rajammal Ramasamy, M. Saradha, S. K. Fathima, V. E. Sathish Kumar, Sandeep Kumar M., J. Prabhu

J. Uncertain Syst., March, 2023

Uncertainty Quantification to Improve the Classification of Melanoma and Basal Skin Cancer Using ResNet Model.

D. Deepa, V. Muthukumaran, V. Vinodhini, S. Selvaraj, M. Sandeep Kumar, J. Prabhu

J. Uncertain Syst., March, 2023

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

Sandeep Kumar Mathivanan, Prabhu Jayagopal

Earth Sci. Informatics, March, 2023

Image Noise Removal in Ultrasound Breast Images Based on Hybrid Deep Learning Technique.

Baiju Babu Vimala, Saravanan Srinivasan, Sandeep Kumar Mathivanan, Venkatesan Muthukumaran, Jyothi Chinna Babu, Norbert Herencsar, Lucia Vilcekova

Sensors, February, 2023

Parameters Describing Student Learning Environments Through Experiential Learning Technologies for Entrepreneurial Creativity: A Study From a B School.

Dara Vijaya Lakshmi, M. Saradha, R. Karthik, Sandeep Kumar Mathivanan, Jyothi Chinna Babu, Lucia Vilcekova

J. Cases Inf. Technol., January, 2023

Deep Learning Speech Synthesis Model for Word/Character-Level Recognition in the Tamil Language.

Sukumar Rajendran, Kiruba Thangam Raja, Nagarajan G., Stephen Dass A., Sandeep Kumar Mathivanan, Prabhu Jayagopal

Int. J. e Collab., 2023

2022

Emphasizing privacy and security of edge intelligence with machine learning for healthcare.

Sukumar Rajendran, Sandeep Kumar Mathivanan, Prabhu Jayagopal, Kumar Purushothaman Janaki, Benjula Anbu Malar Manickam Bernard, Suganya Pandy, Manivannan Sorakaya Somanathan

Int. J. Intell. Comput. Cybern., 2022

2021

Effectiveness of Contact Tracing Using KNN for COVID-19.

Maheshwari Venkatasen, Sandeep Kumar Mathivanan, Prasanna Mani, Prabhu Jayagopal, Thanapal Pandi, Manivannan Sorakaya Somanathan, Upendra Babu K., D. Elangovan

J. Mobile Multimedia, 2021

Detection and localisation of cars in indoor parking through UWB radar-based sensing system.

Sukumar Rajendran, Sandeep Kumar Mathivanan, Manivannan Sorakaya Somanathan, M. Geetha, Prabhu Jayagopal, Maheshwari Venkatasen, Prasanna Mani, J. Jabez Christopher

Int. J. Ultra Wideband Commun. Syst., 2021

Remote monitoring of indoor/outdoor movement in epidemiological situations utilising UWB transceivers.

Sukumar Rajendran, Prabhu Jayagopal, Sandeep Kumar Mathivanan, S. Prasanna, Manivannan Sorakaya Somanathan, P. J. Kumar, Maheshwari Venkatasen, Prasanna Mani

Int. J. Ultra Wideband Commun. Syst., 2021

Language dialect based speech emotion recognition through deep learning techniques.

Sukumar Rajendran, Sandeep Kumar Mathivanan, Prabhu Jayagopal, Maheshwari Venkatasen, Thanapal Pandi, Manivannan Sorakaya Somanathan, Muthamilselvan Thangaval, Prasanna Mani

Int. J. Speech Technol., 2021

Queueing network model with jockeying to reduce the waiting time in the airport.

Maheshwari Venkat, Prabhu Jayagopal, M. Geetha, M. Sandeep Kumar, K. Banu Priya, Sukumar Rajendran, Prasanna Mani, P. Rajendran

Int. J. Syst. Syst. Eng., 2021

Queueing network model with jockeying to reduce the waiting time in the airport.

K. Banu Priya, M. Sandeep Kumar, M. Geetha, Prabhu Jayagopal, Maheshwari Venkatasen, Sukumar Rajendran, Prasanna Mani, P. Rajendran

Int. J. Syst. Syst. Eng., 2021

Delineation of field boundary from multispectral satellite images through U-Net segmentation and template matching.

M. Sandeep Kumar, Prabhu Jayagopal

Ecol. Informatics, 2021

2020

Pediatric and geriatric immunity network mobile computational model for COVID-19.

K. Banu Priya, P. Rajendran, Sandeep Kumar M., Prabhu Jayagopal, Sukumar Rajendran, P. J. Kumar, P. Thanapal, J. Jabez Christopher, Jothikumar R.

Int. J. Pervasive Comput. Commun., 2020

Social economic impact of COVID-19 outbreak in India.

Sandeep Kumar M., Maheshwari Venkatasen, Prabhu Jayagopal, Prasanna Mani, P. Jayalakshmi, Suganya P., Benjula Anbu Malar Manickam Bernard, Jothikumar R.

Int. J. Pervasive Comput. Commun., 2020

Training Time Reduction in Transfer Learning for a Similar Dataset Using Deep Learning.

Ekansh Gayakwad, J. Prabhu, R. Vijay Anand, M. Sandeep Kumar

Proceedings of the Intelligent Data Engineering and Analytics, 2020

2019

Hybrid Model for Movie Recommendation System Using Fireflies and Fuzzy C-Means.

M. Sandeep Kumar, Prabhu Jayagopal

Int. J. Web Portals, 2019