Zobrazeno 1 - 10 of 47 pro vyhledávání: '"Eswaran Perumal"'
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Akademický článek
Optimal Fuzzy Logic Enabled EEG Motor Imagery Classification for Brain Computer Interface
Autor: Eunmok Yang, K. Shankar, Eswaran Perumal, Changho Seo
Publikováno v: IEEE Access, Vol 12, Pp 46002-46011 (2024)
Brain-computer interface BCI) is a technology that assists in straight link among the human brain as well as external devices like computers or robotic systems, without including muscles and peripheral nerves. BCI allows individuals with motor disabi
Externí odkaz: https://doaj.org/article/dd43c913f2784529bbfb130e07245ce7
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2
Optimal Feature Selection Methods for Chronic Kidney Disease Classification using Intelligent Optimization Algorithms
Autor: Jerlin Rubini Lambert, Eswaran Perumal
Publikováno v: Recent Advances in Computer Science and Communications. 14:2886-2898
Aim: Recently, classification of medical data gives more importance to identify the existence of disease. Background: Numerous classification algorithms for chronic kidney disease (CKD) are developed and produced better classification results. But, t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ef2625e020c54d2ea8bd8ea87e6d74ca
https://doi.org/10.2174/2666255813999200818131835
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3
Risk Factor Identification, Classification and Prediction Summary of Chronic Kidney Disease
Autor: Eswaran Perumal, Pramila Arulanthu
Publikováno v: Recent Advances in Computer Science and Communications. 14:2551-2562
The data generated by medical equipment is huge and humongous in size loaded with valuable information. This data set requires an effective classification for accurate prediction. The prediction of health issues is an extremely difficult task, especi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::013d96a8c41b8101883be5ea64c0b5b0
https://doi.org/10.2174/2666255813666200101100424
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5
Oppositional firefly optimization based optimal feature selection in chronic kidney disease classification using deep neural network
Autor: Jerlin Rubini Lambert, Eswaran Perumal
Publikováno v: Journal of Ambient Intelligence and Humanized Computing. 13:1799-1810
Nowadays, medical data classification plays an important role in healthcare informatics applications such as disease prediction, classification, etc. The recently developed machine learning and deep learning models are commonly employed for effective
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9d2bc26a4a4f68c7b28a1ee5dbe923e6
https://doi.org/10.1007/s12652-021-03477-2
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7
Automated Detection and Classification of COVID-19 from Chest X-ray Images Using Deep Learning
Autor: K. Shankar, Eswaran Perumal
Publikováno v: Journal of Computational and Theoretical Nanoscience. 17:5457-5463
In recent times, COVID-19 has appeared as a major threat to healthcare professionals, governments, and research communities over the world from its diagnosis to medication. Several research works have been carried out for obtaining the possible solut
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d1b60a522f277d47e09136da7662a866
https://doi.org/10.1166/jctn.2020.9439
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8
CLUSTERING AND INDEXING OF MULTIPLE DOCUMENTS USING FEATURE EXTRACTION THROUGH APACHE HADOOP ON BIG DATA
Autor: E. Laxmi Lydia, G. Jose Moses, Vijayakumar Varadarajan, Fredi Nonyelu, Andino Maseleno, Eswaran Perumal, K. Shankar
Publikováno v: Malaysian Journal of Computer Science. :108-123
Bigdata is a challenging field in data processing since the information is retrieved from various search engines through internet. A number of large organizations, that use document clustering,fails in arranging the documents sequentially in their ma
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::29d39ede2e19b22ac27c23f701fefb35
https://doi.org/10.22452/mjcs.sp2020no1.8
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9
Hybrid Kernel Support Vector Machine Classifier and Grey Wolf Optimization Algorithm Based Intelligent Classification Algorithm for Chronic Kidney Disease
Autor: L. Jerlin Rubini, Eswaran Perumal
Publikováno v: Journal of Medical Imaging and Health Informatics. 10:2297-2307
In the present day, distributed algorithms become more popular due to their diversity in several applications. The prediction and reorganization of medical data required more practice and information. We propose a novel approach feature selection bas
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d25b2c0e46dced7b34e2c81c3a21e66f
https://doi.org/10.1166/jmihi.2020.3177
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