Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Kalaiarasi Sonai Muthu Anbananthen"'
Autor:
P. Sharmila, Kalaiarasi Sonai Muthu Anbananthen, Deisy Chelliah, S. Parthasarathy, Baarathi Balasubramaniam, Saravanan Nathan Lurudusamy
Publikováno v:
HighTech and Innovation Journal, Vol 5, Iss 3, Pp 627-639 (2024)
Automated subjective assessment presents a significant challenge due to the complex nature of human language and reasoning characterized by semantic variability, subjectivity, language ambiguity, and judgment levels. Unlike objective exams, subjectiv
Externí odkaz:
https://doaj.org/article/aebfc3ac94ea4a02b2075498ee8bdeb0
Autor:
Bakare Mustaphaa Adebayo, Kalaiarasi Sonai Muthu Anbananthen, Saravanan Muthaiyah, Saravanan Nathan Lurudusamy
Publikováno v:
HighTech and Innovation Journal, Vol 5, Iss 2, Pp 272-281 (2024)
Despite the widespread use of Malay, under-resourced languages like Malay face challenges in Natural Language Processing (NLP), particularly in Part-of-Speech (POS) tagging. The scarcity of annotated corpora poses a primary obstacle to POS tagging in
Externí odkaz:
https://doaj.org/article/d3336f8b4f0044ecb631d7db6df88736
Publikováno v:
HighTech and Innovation Journal, Vol 5, Iss 1, Pp 109-128 (2024)
Aspect-level sentiment analysis is essential for businesses to comprehend sentiment polarities associated with various aspects within unstructured texts. Although several solutions have been proposed in recent studies in sentiment analysis, a few cha
Externí odkaz:
https://doaj.org/article/12eb1508566b4c5d8915a8111bb6e605
Autor:
Mikail Muhammad Azman Busst, Kalaiarasi Sonai Muthu Anbananthen, Subarmaniam Kannan, Rajkumar Kannan
Publikováno v:
Emerging Science Journal, Vol 8, Iss 1, Pp 61-76 (2024)
The proliferation of user-generated content on social networks and websites has heightened the significance of sentiment analysis, also known as opinion mining, as a critical tool for comprehending people’s attitudes toward various topics. Aspect-l
Externí odkaz:
https://doaj.org/article/e0ef7309f0b641fabad844f3042968d1
Autor:
P. Sharmila, Kalaiarasi Sonai Muthu Anbananthen, Nithyakala Gunasekaran, Baarathi Balasubramaniam, Deisy Chelliah
Publikováno v:
IEEE Access, Vol 12, Pp 122597-122608 (2024)
Detecting plagiarism poses a significant challenge for academic institutions, research centers, and content-centric organizations, especially in cases involving subtle paraphrasing and content manipulation where conventional methods often prove inade
Externí odkaz:
https://doaj.org/article/15e06fd6920f45558370b6de542f4b71
Autor:
Mikail Muhammad Azman Busst, Kalaiarasi Sonai Muthu Anbananthen, Subarmaniam Kannan, Jayakumar Krishnan, Sridevi Subbiah
Publikováno v:
IEEE Access, Vol 12, Pp 3528-3539 (2024)
Aspect extraction poses a significant challenge in Natural Language Processing (NLP). Extracting explicit and implicit aspects from online text data remains an ongoing challenge despite significant research efforts. Enhancing the accuracy and effecti
Externí odkaz:
https://doaj.org/article/9028d506298247e39ff5764755df5978
Autor:
Kalaiarasi Sonai Muthu Anbananthen, Sridevi Subbiah, Subiksha Gayathri Baskar, Ratchana Selvaraj, Jayakumar Krishnan, Subarmaniam Kannan, Deisy Chelliah
Publikováno v:
Emerging Science Journal, Vol 7, Iss 5, Pp 1636-1652 (2023)
The eye is an essential sensory organ that allows us to perceive our surroundings at a glance. Losing this sense can result in numerous challenges in daily life. However, society is designed for the majority, which can create even more difficulties f
Externí odkaz:
https://doaj.org/article/632ba94575844b39b4f84a6b10c49d2e
Autor:
Mercelin Francis, Kalaiarasi Sonai Muthu Anbananthen, Deisy Chelliah, Subarmaniam Kannan, Sridevi Subbiah, Jayakumar Krishnan
Publikováno v:
Emerging Science Journal, Vol 7, Iss 2, Pp 480-497 (2023)
Deep learning and its models have provided exciting solutions in various image processing applications like image segmentation, classification, labeling, etc., which paved the way to apply these models in agriculture to identify diseases in agricultu
Externí odkaz:
https://doaj.org/article/fd80ef6c54094036ace60f1d9a012d8c
Autor:
Kalaiarasi Sonai Muthu Anbananthen, Mikail Bin Muhammad Azman Busst, Rajkumar Kannan, Subarmaniam Kannan
Publikováno v:
Emerging Science Journal, Vol 7, Iss 1, Pp 102-115 (2022)
Diabetes mellitus is one of medical science’s most important research topics because of the disease’s severe consequences. High blood glucose levels characterize it. Early detection of diabetes is made possible by machine learning techniques with
Externí odkaz:
https://doaj.org/article/c6d5bc3cf04b4df9ad9a419b1183a4f3
Autor:
Saravanan Muthaiyah, Thein Oak Kyaw Zaw, Kalaiarasi Sonai Muthu Anbananthen, Byeonghwa Park, Myung Joon Kim
Publikováno v:
Emerging Science Journal, Vol 7, Iss 0, Pp 17-28 (2022)
The primary objective of this research is to identify commonly used data-driven decision-making techniques for contact tracing with regards to Covid-19. The virus spread quickly at an alarming level that caused the global health community to rely on
Externí odkaz:
https://doaj.org/article/e0f90fa9c24548c6a0eaba6fbfc9562a