Zobrazeno 1 - 5
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pro vyhledávání: '"K M V Madan, Kumar"'
Autor:
Srinu Banothu, Karnam Madhavi, K. M. V. Madan Kumar, Ramesh Gajula, Ch Mallikarjuna Rao, Saurav Dixit, Abhishek Chhetri
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
Plant diseases, mainly caused by bacteria and fungi, affect crop yield and quality. Detecting disease symptoms at an early stage and promptly is a significant obstacle in safeguarding crops. In developing nations, experts and agronomists commonly opt
Externí odkaz:
https://doaj.org/article/24b3a6e4a8ec4d7c9d9cb16277a573b3
Publikováno v:
Neural Processing Letters. 55:1951-1973
One of the mosquito-borne pandemic viral infections is Dengue which is mostly transmitted to humans by the Aedes agypti or female Aedes albopictis mosquitoes. The dengue disease expansion is mainly due to the different factors such as climate change,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::214c87cdee48a439d3ecd82a93ced982
https://doi.org/10.1007/s11063-022-10971-x
https://doi.org/10.1007/s11063-022-10971-x
Autor:
B. Srinivasa Rao, K. M. V. Madan Kumar
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 17:1786-1795
Sequential pattern mining is one of the most important aspects of data mining world and has a significant role in many applications like market analysis, biomedical analysis, weather forecasting etc. In the category of mining sequential patterns the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d637ea3b183bb663e9de9f4ab19032a
https://doi.org/10.1166/jctn.2020.8442
https://doi.org/10.1166/jctn.2020.8442
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811670879
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b84632b8f9a48075e7a88331b5593d72
https://doi.org/10.1007/978-981-16-7088-6_24
https://doi.org/10.1007/978-981-16-7088-6_24
Autor:
K M V Madan Kumar
Publikováno v:
International Journal of Computer Science, Engineering and Applications. 2:61-73
Although there may be lot of research work done on sequential pattern mining in static, incremental, progressive databases, the previous work do not fully concentrating on support issues. Most of the previous approaches set a single minimum support t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05f459629ce3a852a655c03268836862
https://doi.org/10.5121/ijcsea.2012.2506
https://doi.org/10.5121/ijcsea.2012.2506