Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Muthu Krishnammal"'
Publikováno v:
Journal of Intelligent & Fuzzy Systems; 2023, Vol. 45 Issue 6, p11993-12012, 20p
Publikováno v:
2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS).
Publikováno v:
IOT with Smart Systems ISBN: 9789811639449
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b37a5cde4a2e9fb5cf48d12885cfb60
https://doi.org/10.1007/978-981-16-3945-6_23
https://doi.org/10.1007/978-981-16-3945-6_23
Publikováno v:
INDUSTRIAL, MECHANICAL AND ELECTRICAL ENGINEERING.
Publikováno v:
Multimedia Tools and Applications. 79:10099-10122
Image segmentation and classification are indispensable steps in the therapeutic image processing. Clustering based methods plays an inevitable role in the segmentation stage of the biomedical images especially for distinguishingcerebrum tumors from
Autor:
K. Bhavana Raj, J.E. Anusha Linda Kostka, P. Muthu Krishnammal, Firdouse Banu, A. Prakash, Shaik Mohammad Rafi
Publikováno v:
International Journal of Engineering Systems Modelling and Simulation. 1:1
Publikováno v:
Journal of Physics: Conference Series. 1964:062082
The progress of deep learning has rapidly accelerated development at an exponential rate of existing technologies. Deep convolutionary algorithms have received much popularity due to exceptional success in various technology application areas. Althou
Publikováno v:
Journal of Physics: Conference Series. 1964:062066
The 2019 Corona Virus Disease (COVID-19), announced as an epidemic by the World Health Organization (WHO in March 2020, is a significant problem in 175 countries worldwide. This disease is very easily transmitted by near interaction and through dropl
Publikováno v:
2019 TEQIP III Sponsored International Conference on Microwave Integrated Circuits, Photonics and Wireless Networks (IMICPW).
Intensive researches are being carried out to study the abnormalities present in the brain structures and to detect the type of tumors based on the statistical and textural features extracted from the medical images. In MRI imaging, the images may be
Publikováno v:
2019 International Conference on Communication and Signal Processing (ICCSP).
Quantitative analysis of many neurological diseases depends on automated and accurate segmentation and classification of structures. Nowadays, the deep learning based image classification and segmentation methods have gained interest of research beca