Zobrazeno 1 - 10
of 14
pro vyhledávání: '"P. Muhamed Ilyas"'
Autor:
M. P. Ayyoob, P. Muhamed Ilyas
Publikováno v:
IEEE Access, Vol 12, Pp 186794-186802 (2024)
This paper presents a novel stroke-based data augmentation technique for enhancing the recognition accuracy of ancient handwritten scripts, focusing on Vattezhuthu characters. With the lack of large standardized datasets for such scripts, the propose
Externí odkaz:
https://doaj.org/article/6aaa4378bffe45bc9c8e8c3c98f6c0f4
Publikováno v:
Acta Informatica Pragensia, Vol 12, Iss 1, Pp 87-103 (2023)
Osteosarcoma is a high-grade malignant bone tumour for which neoadjuvant chemotherapy is a vital component of the treatment plan. Chemotherapy brings about the death of tumour tissues, and the rate of their death is an essential factor in deciding on
Externí odkaz:
https://doaj.org/article/aaffc5a8d7bc45a8b83c90c8899c5acd
AI-Powered Semantic Segmentation and Fluid Volume Calculation of Lung CT images in Covid-19 Patients
COVID-19 pandemic is a deadly disease spreading very fast. People with the confronted immune system are susceptible to many health conditions. A highly significant condition is pneumonia, which is found to be the cause of death in the majority of pat
Externí odkaz:
http://arxiv.org/abs/2110.15558
Autor:
MP Ayyoob, P. Muhamed Ilyas
Publikováno v:
2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT).
Autor:
P. Muhamed Ilyas, M.P. Ayyoob
Publikováno v:
Malaya Journal of Matematik. 9:616-620
AI-Powered Semantic Segmentation and Fluid Volume Calculation of Lung CT Images in COVID-19 Patients
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811687730
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::795a79575a993af6c7ed961cee957ff5
https://doi.org/10.1007/978-981-16-8774-7_9
https://doi.org/10.1007/978-981-16-8774-7_9
Autor:
S K Liji, P Muhamed Ilyas
Publikováno v:
2021 International Conference on Advances in Computing and Communications (ICACC).
Akademický článek
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Autor:
R. Vijayakumar, P. Muhamed Ilyas
Publikováno v:
ICWET
Location dependant data are becoming very popular in mobile environments. To improve system performance and facilitates QoS several methods like location aware proxies, caching etc. are being used. Based on the classification of different query model
Akademický článek
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