Výsledky vyhledávání - "Kalaiarasi S."

Akademický článek

A Binary Survivability Prediction Classification Model towards Understanding of Osteosarcoma Prognosis

Autor: Saravanan Muthaiyah, Vivek Ajit Singh, Thein Oak Kyaw Zaw, Kalaiarasi S. M. Anbananthen, Byeonghwa Park, Myung Joon Kim

Publikováno v: Emerging Science Journal, Vol 7, Iss 4, Pp 1294-1314 (2023)

The objective of this study is to explore effective and innovative machine learning techniques that can assist medical professionals in developing more accurate prognoses that can enhance the survivability of osteosarcoma patients by investigating po

Externí odkaz: https://doaj.org/article/cfe62cbb8ec8407eb985c713f6b56b9f

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Akademický článek

Finger Vein Template Protection with Directional Bloom Filter

Autor: Jackson Horlick Teng, Thian Song Ong, Kalaiarasi S. M. A., Connie Tee

Publikováno v: HighTech and Innovation Journal, Vol 4, Iss 2, Pp 412-433 (2023)

Biometrics has become a widely accepted solution for secure user authentication. However, the use of biometric traits raises serious concerns about the protection of personal data and privacy. Traditional biometric systems are vulnerable to attacks d

Externí odkaz: https://doaj.org/article/78c900d4256b4a268b64498bb3d13591

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Akademický článek

Improved Accuracy by Novel Inception Compared over GoogleNet in Predicting the Performance of Students in Online Education During COVID

Autor: Sathvik P., Kalaiarasi S.

Publikováno v: E3S Web of Conferences, Vol 399, p 04021 (2023)

The goal of this research is to enhance the accuracy of predicting students' performance in online education during the Covid-19 pandemic by comparing the Novel Inception algorithm with the GoogleNet algorithm. Materials and Methods: The current rese

Externí odkaz: https://doaj.org/article/61bea382d9aa40f88dc03eda0a25946a

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Akademický článek

Comparison of Novel Recurrent Neural Network Over Artificial Neural network in Predicting Email spammers with improved accuracy

Autor: Neeharika Chillakuru, Kalaiarasi S.

Publikováno v: E3S Web of Conferences, Vol 399, p 04025 (2023)

The main aim is to compare Novel Recurrent Neural Network over Artificial Neural Network in predicting Email spammers with improved accuracy. Material and Methods : This research study contains two groups namely Novel Recurrent Neural Network and Art

Externí odkaz: https://doaj.org/article/ad22d2b8df964d94a4e5b0ceb91a51ee

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