Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Khelchandra Thongam"'
Publikováno v:
Diagnostics, Vol 14, Iss 7, p 736 (2024)
Congestive heart failure (CHF) is one of the primary sources of mortality and morbidity among the global population. Over 26 million individuals globally are affected by heart disease, and its prevalence is rising by 2% yearly. With advances in healt
Externí odkaz:
https://doaj.org/article/8f164696f653441b8f106bab30538804
Autor:
Anuradha Laishram, Khelchandra Thongam
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 7, Iss 4, Pp 69-77 (2022)
An attempt has been made to device a robust method to classify different oral pathologies using Orthopantomogram (OPG) images based on Convolutional Neural Network (CNN). This system will provide a novel approach for the classification of types of te
Externí odkaz:
https://doaj.org/article/88bf1005bf4b4b92bd120903ce8536f8
Publikováno v:
Entropy, Vol 18, Iss 10, p 350 (2016)
Distributed denial-of-service (DDoS) attack is one of the major threats to the web server. The rapid increase of DDoS attacks on the Internet has clearly pointed out the limitations in current intrusion detection systems or intrusion prevention syste
Externí odkaz:
https://doaj.org/article/1ab26ae46e274b2fbae5d076f5646e9a
Publikováno v:
Procedia Computer Science. 218:612-620
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19a1893d08b092683ede291d988bb31b
https://doi.org/10.1016/j.procs.2023.01.043
https://doi.org/10.1016/j.procs.2023.01.043
Autor:
Anuradha Laishram, Khelchandra Thongam
Publikováno v:
IETE Journal of Research. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b0d6f22b390127e7ad10419864ad2de
https://doi.org/10.1080/03772063.2022.2154283
https://doi.org/10.1080/03772063.2022.2154283
Publikováno v:
Security and Communication Networks. 2022:1-11
Image Spam is a type of spam that has embedded text in an image. Classification of Image Spam is done using various machine learning approaches based on a broad set of features extracted from the image. For its remarkable results, the convolutional n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd99f6e971948ff9de1df66093def1f5
https://doi.org/10.1155/2022/8905424
https://doi.org/10.1155/2022/8905424
Autor:
Maibam Mangalleibi Chanu, Ngangbam Herojit Singh, Chiranjeevi Muppala, R. Thandaiah Prabu, Ngangbam Phalguni Singh, Khelchandra Thongam
Publikováno v:
Soft Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08a61da199c5dcf177dd19be69a1257b
https://doi.org/10.1007/s00500-023-08343-1
https://doi.org/10.1007/s00500-023-08343-1
Publikováno v:
Journal of Computer Science and Technology Studies. 4:66-72
With the recent advancements in the field of semantic segmentation, an encoderdecoder approach like U-Net are most widely used to solve biomedical image segmentation tasks. To improve upon the existing U-Net, we proposed a novel architecture called M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42dd63f4a4795136f7a1013e57a1d047
https://doi.org/10.32996/jcsts.2022.4.1.7
https://doi.org/10.32996/jcsts.2022.4.1.7
Publikováno v:
Expert Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3294023be3a07a4fc21233c484244f29
https://doi.org/10.1111/exsy.13260
https://doi.org/10.1111/exsy.13260
One of the most often utilized signals for assessing the electrical activities of the brain is the Electroencephalograph (EEG) signal. The manual approach of determining epileptic irregularities is time-consuming, and the outcome may vary depending o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c19b6309b03ead02050b875f88a3961
https://doi.org/10.21203/rs.3.rs-2400006/v1
https://doi.org/10.21203/rs.3.rs-2400006/v1
