Zobrazeno 1 - 9 of 9 pro vyhledávání: '"Hemalatha Gunasekaran"'
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Akademický článek
GIT-Net: An Ensemble Deep Learning-Based GI Tract Classification of Endoscopic Images
Autor: Hemalatha Gunasekaran, Krishnamoorthi Ramalakshmi, Deepa Kanmani Swaminathan, Andrew J, Manuel Mazzara
Publikováno v: Bioengineering, Vol 10, Iss 7, p 809 (2023)
This paper presents an ensemble of pre-trained models for the accurate classification of endoscopic images associated with Gastrointestinal (GI) diseases and illnesses. In this paper, we propose a weighted average ensemble model called GIT-NET to cla
Externí odkaz: https://doaj.org/article/4d6a440fdd01443f88c2b5e71b7fd2a6
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2
GIT-Net: An Ensemble Deep Learning-Based GI Tract Classification of Endoscopic Images
Autor: Mazzara, Hemalatha Gunasekaran, Krishnamoorthi Ramalakshmi, Deepa Kanmani Swaminathan, Andrew J, Manuel
Publikováno v: Bioengineering; Volume 10; Issue 7; Pages: 809
This paper presents an ensemble of pre-trained models for the accurate classification of endoscopic images associated with Gastrointestinal (GI) diseases and illnesses. In this paper, we propose a weighted average ensemble model called GIT-NET to cla
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::877fc3c8b9fea24fd1c614040f9279c3
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3
Design of intelligent IoT for smart healthcare monitoring system using optimal neural network (IONN) model
Autor: R. Manjula Devi, Hemalatha Gunasekaran, A. Kethsy Prabavathy, K. Ramalakshmi, S. Akila, K. V. Ghokul Kanth
Publikováno v: International journal of health sciences. :13422-13434
One of the most important aspects of human life is health. Every society is paying more attention to and implementing technology in the areas of health and healthcare. In the healthcare sector, Artificial Intelligence (AI) is frequently employed to d
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::58bc606313360b2d7fb1be902cde8b01
https://doi.org/10.53730/ijhs.v6ns2.8535
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7
A Deep Learning CNN Model for Genome Sequence Classification
Autor: Shalini Ramanathan, Hemalatha Gunasekaran, K. Ramalakshmi, Rajkumar Venkatesan
Publikováno v: Intelligent Computing Applications for COVID-19 ISBN: 9781003141105
The COVID-19 pandemic declared by the World Health Organization in March 2020 is a global challenge. This has drawn research interest in various fields, such as drug design, image analysis of COVID-19 CT scans (Hemalatha et al., 2020), social distanc
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d230e2ccef8bc89fed7697905b115267
https://doi.org/10.1201/9781003141105-9
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8
Literature Review of Disease Detection in Tomato Leaf using Deep Learning Techniques
Autor: Hepzibah Elizabeth David, Rajkumar Venkatesan, K. Ramalakshmi, Hemalatha Gunasekaran
Publikováno v: 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS).
Tomatoes are the most common vegetable crop widely cultivated in the agricultural fields in India. The tropical climate is ideal for its growth, however certain climatic conditions and various other factors affect the normal growth of tomato plants.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3e8ffae9cc86bac4ce1ce351fa7fd77b
https://doi.org/10.1109/icaccs51430.2021.9441714
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