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pro vyhledávání: '"Kathirvelan, Jayaraman"'
Publikováno v:
Sensor Review, 2024, Vol. 44, Issue 3, pp. 267-283.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SR-09-2023-0401
Autor:
Kathirvelan, Jayaraman
Publikováno v:
Sensor Review, 2022, Vol. 42, Issue 5, pp. 587-598.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SR-01-2022-0046
Autor:
Kathirvelan, Jayaraman
Publikováno v:
Sensor Review, 2020, Vol. 41, Issue 1, pp. 46-56.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SR-08-2020-0190
Publikováno v:
Sensor Review, 2020, Vol. 40, Issue 4, pp. 421-435.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SR-10-2019-0251
Autor:
Chathura Neelam Jaikishore, Gautam Podaturpet Arunkumar, Ajitesh Jagannathan Srinath, Harikrishnan Vamsi, Kirtaan Srinivasan, Rishabh Karthik Ramesh, Kathirvelan Jayaraman, Prakash Ramachandran
Publikováno v:
Applied Sciences, Vol 12, Iss 18, p 8927 (2022)
Road hazards such as jaywalking pedestrians, stray animals, unmarked speed bumps, vehicles, and road damage can pose a significant threat in poor visibility conditions. Vehicles are fitted with safety technologies like advanced driver assistance syst
Externí odkaz:
https://doaj.org/article/027797a23bca4d4fab6f0a3c35142b1c
Publikováno v:
Sensor Review, 2017, Vol. 37, Issue 2, pp. 147-154.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SR-12-2016-0262
Autor:
Kathirvelan Jayaraman
Publikováno v:
International Journal of Innovative Technology and Exploring Engineering. 8:2280-2288
Support Vector Machines (SVM) is one of the most commonly used the state-of-the-art supervised machine learning algorithm for various classification problems. It provides high accuracy rate compared to other classification algorithms. However, When S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62a40814fd18c5c061d371823b02b8e9
https://doi.org/10.35940/ijitee.l2562.1081219
https://doi.org/10.35940/ijitee.l2562.1081219
Autor:
Kathirvelan Jayaraman
Publikováno v:
International Journal of Innovative Technology and Exploring Engineering. 8:4525-4528
In this work, we have designed and developed MWCNTs based ECG electrodes that are versatile, skin friendly, flexible and waterproof thus helpful in better acquisition of ECG signals compared with the traditional electrodes available in the market. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42e53c3873fadc59c582d24f933e4bbf
https://doi.org/10.35940/ijitee.l3540.1081219
https://doi.org/10.35940/ijitee.l3540.1081219
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Publikováno v:
Sensor Review; 2017, Vol. 37 Issue 2, p147-154, 8p