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ORCIDSandeep Kumar Mathivanan 0001
Person information
- affiliation: Vellore Institute of Technology, VIT, School of Information Technology and Engineering, Tamil Nadu, India
Other persons with the same name
- M. Sandeep Kumar 0002 — Indian Institute of Technology Madras, Chennai, India
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2020 – today
- 2024
[j23]Saravanan Srinivasan, Divya Francis, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Basu Dev Shivahare
, Mohd Asif Shah:
A hybrid deep CNN model for brain tumor image multi-classification. BMC Medical Imaging 24(1): 21 (2024)- [j22]Saravanan Srinivasan, Kirubha Durairaju, K. Deeba, Sandeep Kumar Mathivanan, P. Karthikeyan, Mohd Asif Shah:
Multimodal Biomedical Image Segmentation using Multi-Dimensional U-Convolutional Neural Network. BMC Medical Imaging 24(1): 38 (2024) - 2023
- [j21]Sukumar Rajendran, Ramesh Kumar Panneerselvam, Kumar Purushothaman Janaki, Vijay Anand Rajasekaran, Suganya Pandy, Sandeep Kumar Mathivanan, Prabhu Jayagopal:
Prescreening and Triage of COVID-19 Patients Through Chest X-Ray Images Using Deep Learning Model. Big Data 11(6): 408-419 (2023) - [j20]A. Rohini, Carol Praveen, Sandeep Kumar Mathivanan, V. Muthukumaran, Saurav Mallik, Mohammed S. Alqahtani, Amal Al-Rasheed, Ben Othman Soufiene:
Multimodal hybrid convolutional neural network based brain tumor grade classification. BMC Bioinform. 24(1): 382 (2023) - [j19]P. Kavitha, G. Ayyappan, Prabhu Jayagopal, Sandeep Kumar Mathivanan, Saurav Mallik, Amal Al-Rasheed, Mohammed S. Alqahtani, Ben Othman Soufiene:
Detection for melanoma skin cancer through ACCF, BPPF, and CLF techniques with machine learning approach. BMC Bioinform. 24(1): 458 (2023) - [j18]Syed Thouheed Ahmed, Syed Muzamil Basha, Muthukumaran Venkatesan, Sandeep Kumar Mathivanan, Saurav Mallik, Najah Alsubaie, Mohammed S. Alqahtani:
TVFx - CoVID-19 X-Ray images classification approach using neural networks based feature thresholding technique. BMC Medical Imaging 23(1): 146 (2023) - [j17]Sandeep Kumar Mathivanan, Prabhu Jayagopal:
Simulating crop yield estimation and prediction through geospatial data for specific regional analysis. Earth Sci. Informatics 16(1): 1005-1023 (2023) - [j16]Sukumar Rajendran, Kiruba Thangam Raja, Nagarajan G., Stephen Dass A., Sandeep Kumar Mathivanan, Prabhu Jayagopal:
Deep Learning Speech Synthesis Model for Word/Character-Level Recognition in the Tamil Language. Int. J. e Collab. 19(4): 1-14 (2023) - [j15]Dara Vijaya Lakshmi, M. Saradha, R. Karthik, Sandeep Kumar Mathivanan, Jyothi Chinna Babu, Lucia Vilcekova:
Parameters Describing Student Learning Environments Through Experiential Learning Technologies for Entrepreneurial Creativity: A Study From a B School. J. Cases Inf. Technol. 25(1): 1-15 (2023) - [j14]Rajalaxmi Rajammal Ramasamy, M. Saradha, S. K. Fathima, V. E. Sathish Kumar, Sandeep Kumar M., J. Prabhu:
An Improved MangoNet Architecture Using Harris Hawks Optimization for Fruit Classification with Uncertainty Estimation. J. Uncertain Syst. 16(1): 2242006:1-2242006:15 (2023) - [j13]D. Deepa, V. Muthukumaran, V. Vinodhini, S. Selvaraj, M. Sandeep Kumar, J. Prabhu:
Uncertainty Quantification to Improve the Classification of Melanoma and Basal Skin Cancer Using ResNet Model. J. Uncertain Syst. 16(1): 2242010:1-2242010:16 (2023) - [j12]Baiju Babu Vimala, Saravanan Srinivasan, Sandeep Kumar Mathivanan, Venkatesan Muthukumaran, Jyothi Chinna Babu, Norbert Herencsar, Lucia Vilcekova:
Image Noise Removal in Ultrasound Breast Images Based on Hybrid Deep Learning Technique. Sensors 23(3): 1167 (2023) - 2022
- [j11]Sukumar Rajendran, Sandeep Kumar Mathivanan, Prabhu Jayagopal, Kumar Purushothaman Janaki, Benjula Anbu Malar Manickam Bernard, Suganya Pandy, Manivannan Sorakaya Somanathan:
Emphasizing privacy and security of edge intelligence with machine learning for healthcare. Int. J. Intell. Comput. Cybern. 15(1): 92-109 (2022) - 2021
- [j10]M. Sandeep Kumar, Prabhu Jayagopal:
Delineation of field boundary from multispectral satellite images through U-Net segmentation and template matching. Ecol. Informatics 64: 101370 (2021) - [j9]K. Banu Priya, M. Sandeep Kumar, M. Geetha, Prabhu Jayagopal, Maheshwari Venkatasen, Sukumar Rajendran, Prasanna Mani, P. Rajendran:
Queueing network model with jockeying to reduce the waiting time in the airport. Int. J. Syst. Syst. Eng. 11(3/4) (2021) - [j8]Maheshwari Venkat, Prabhu Jayagopal, M. Geetha, M. Sandeep Kumar, K. Banu Priya, Sukumar Rajendran, Prasanna Mani, P. Rajendran:
Queueing network model with jockeying to reduce the waiting time in the airport. Int. J. Syst. Syst. Eng. 11(3/4) (2021) - [j7]Sukumar Rajendran, Sandeep Kumar Mathivanan, Prabhu Jayagopal, Maheshwari Venkatasen, Thanapal Pandi, Manivannan Sorakaya Somanathan, Muthamilselvan Thangaval, Prasanna Mani:
Language dialect based speech emotion recognition through deep learning techniques. Int. J. Speech Technol. 24(3): 625-635 (2021) - [j6]Sukumar Rajendran, Prabhu Jayagopal, Sandeep Kumar Mathivanan, S. Prasanna, Manivannan Sorakaya Somanathan, P. J. Kumar, Maheshwari Venkatasen, Prasanna Mani:
Remote monitoring of indoor/outdoor movement in epidemiological situations utilising UWB transceivers. Int. J. Ultra Wideband Commun. Syst. 4(3/4): 124-133 (2021) - [j5]Sukumar Rajendran, Sandeep Kumar Mathivanan, Manivannan Sorakaya Somanathan, M. Geetha, Prabhu Jayagopal, Maheshwari Venkatasen, Prasanna Mani, J. Jabez Christopher:
Detection and localisation of cars in indoor parking through UWB radar-based sensing system. Int. J. Ultra Wideband Commun. Syst. 4(3/4): 182-190 (2021) - [j4]Maheshwari Venkatasen, Sandeep Kumar Mathivanan, Prasanna Mani, Prabhu Jayagopal, Thanapal Pandi, Manivannan Sorakaya Somanathan, Upendra Babu K., D. Elangovan:
Effectiveness of Contact Tracing Using KNN for COVID-19. J. Mobile Multimedia 17(4): 789-808 (2021) - 2020
- [j3]Sandeep Kumar M., Maheshwari Venkatasen, Prabhu Jayagopal, Prasanna Mani, P. Jayalakshmi, Suganya P., Benjula Anbu Malar Manickam Bernard, Jothikumar R.:
Social economic impact of COVID-19 outbreak in India. Int. J. Pervasive Comput. Commun. 16(4): 309-319 (2020) - [j2]K. Banu Priya, P. Rajendran, Sandeep Kumar M., Prabhu Jayagopal, Sukumar Rajendran, P. J. Kumar, P. Thanapal, J. Jabez Christopher, Jothikumar R.:
Pediatric and geriatric immunity network mobile computational model for COVID-19. Int. J. Pervasive Comput. Commun. 16(4): 321-330 (2020) - [c1]Ekansh Gayakwad, J. Prabhu, R. Vijay Anand, M. Sandeep Kumar:
Training Time Reduction in Transfer Learning for a Similar Dataset Using Deep Learning. FICTA (2) 2020: 359-367
2010 – 2019
- 2019
- [j1]M. Sandeep Kumar, Prabhu Jayagopal:
Hybrid Model for Movie Recommendation System Using Fireflies and Fuzzy C-Means. Int. J. Web Portals 11(2): 1-13 (2019)
Coauthor Index
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last updated on 2024-04-25 01:28 CEST by the dblp team
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