Sunilkumar Telagam Setti (T. Sunil Kumar), profilbild

Sunilkumar Telagam Setti (T. Sunil Kumar)

Universitetslektor

Forskningsämne: Elektroteknik

026-648162

sunilkumar.telagam.setti@hig.se

Om forskaren

Sunil har en doktors­examen i elektroteknik från Indian Institute of Technology Indore. Han har haft tjänst som postdoktor både i Belgien vid KU Leuven och i Norge vid Norwegian University of Science and Technology (NTNU). Senast var Sunil anställd vid Vellore Institute of Technology i Indien som docent. Hans forskning är främst inom prediktivt underhåll. Men Sunils intresseområden inkluderar även maskin­inlärning, signal- och bildbehandling, fjärranalys, biomedicinsk signal- och bildbehandling.

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Artiklar

Refereegranskat

  • Sathiya, E., Rao, T. & Telagam Setti, S. (2024). A comparative study of wavelet families for schizophrenia detection. Frontiers, Frontiers in Human Neuroscience, 18 (), 10.3389/fnhum.2024.1463819 [Mer information]

  • Nayak, A., Shah, A., Maheshwari, S., Anand, V., Chakraborty, S. & Telagam Setti, S. (2024). An empirical wavelet transform-based approach for motion artifact removal in electroencephalogram signals. Elsevier, Decision Analytics Journal, 10 (), 10.1016/j.dajour.2024.100420 [Mer information]

  • Wang, C., Mertes, G., Kyritsis, K., Ding, L., Raedt, W., Camps, G., Telagam Setti, S., Chen, W., Jia, J., Hallez, H. & Vanrumste, B. (2024). Detection of Eating Gestures in Older Persons Using IMU Sensors with Multi-Stage Temporal Convolutional Network. IEEE, IEEE Sensors Journal, 24 (21), (35231-35244). [Mer information]

  • Telagam Setti, S., Ranta, D., Rönnow, D. & Ottosson, P. (2024). Determining the Moisture Content of Wood Chips in Inline Industry Applications using UWB Radio Transmission Signals and Machine learning. IEEE, IEEE Sensors Letters, 8 (12), [Mer information]

  • Wang, C., Telagam Setti, S., De Raedt, W., Camps, G., Hallez, H. & Vanrumste, B. (2024). Eating Speed Measurement Using Wrist-Worn IMU Sensors Towards Free-Living Environments. IEEE, IEEE journal of biomedical and health informatics, 28 (10), (5816-5828). [Mer information]

  • Krishnan, P., Krishnadoss, P., Khandelwal, M., Gupta, D., Nihaal, A. & Telagam Setti, S. (2024). Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer. Frontiers, Frontiers in Neuroinformatics, 18 (), 10.3389/fninf.2024.1414925 [Mer information]

  • Sathiya, E., Rao, T. & Telagam Setti, S. (2024). Gabor filter-based statistical features for ADHD detection. Frontiers, Frontiers in Human Neuroscience, 18 (), 10.3389/fnhum.2024.1369862 [Mer information]

  • Gour, M., Jain, S. & Telagam Setti, S. (2024). Robust nuclei segmentation with encoder‐decoder network from the histopathological images. Wiley, International journal of imaging systems and technology (Print), 34 (4), [Mer information]

Konferensbidrag

  • Yesmin, N., Bautista Gonzalez, O., Telagam Setti, S. & Rönnow, D. (2024). Comparison of Physical and LSTM Neural Network Model of a High-Pressure Valve Used in the Steel Industry. : 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). [Mer information]

  • Wang, C., Telagam Setti, S., De Raedt, W., Camps, G., Hallez, H. & Vanrumste, B. (2024). Evaluation Metrics for Food Intake Activity Recognition Using Segment-Wise IoU. [Mer information]

  • Telagam Setti, S., Maheshwari, S. & Rajesh, K. (2024). Schizophrenia detection using entropy difference-based electroencephalogram channel selection approach. : IEEE EMBC 2024 Conference Proceedings. [Mer information]

  • Andersson, R., Telagam Setti, S. & Chilo, J. (2024). The Information Fusion on Person Recognition Using Hip Joint Angles. : 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA). S. 1-6. [Mer information]

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Sidan uppdaterades 2024-05-22