Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Tirath Prasad Sahu"'
Autor:
Pratik Angaitkar, Turki Aljrees, Saroj Kumar Pandey, Ankit Kumar, Rekh Ram Janghel, Tirath Prasad Sahu, Kamred Udham Singh, Teekam Singh
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Linear-B cell epitopes (LBCE) play a vital role in vaccine design; thus, efficiently detecting them from protein sequences is of primary importance. These epitopes consist of amino acids arranged in continuous or discontinuous patterns. Vacc
Externí odkaz:
https://doaj.org/article/18cdb6ced6f54bc88fc5d1a298c7a86b
Publikováno v:
IEEE Access, Vol 4, Pp 4797-4808 (2016)
A community question answering (CQA) site is a well-known online community, where user interacts on a wide variety of topics. To the best of our knowledge, the selection of a best answer for the question asked on the CQA site is done manually, which
Externí odkaz:
https://doaj.org/article/1a73bcfc4d8141888596a113d833a2b1
Publikováno v:
IEEE Access, Vol 4, Pp 5343-5355 (2016)
Community question answering (CQA) site is an online community to provide valuable information in wide variety of topics in question-answer form to users'. The major problem with CQA lies in identifying the authoritative users in the domain of the qu
Externí odkaz:
https://doaj.org/article/8faa969578594ed6917dd386d8fb3858
Publikováno v:
IETE Journal of Research. :1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9537d2fe2a52e58dc783d0ada74cef19
https://doi.org/10.1080/03772063.2023.2194265
https://doi.org/10.1080/03772063.2023.2194265
Publikováno v:
International Journal of Information Technology. 15:1179-1188
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c88038421a9a26fec005a6efdb33b4bd
https://doi.org/10.1007/s41870-023-01157-2
https://doi.org/10.1007/s41870-023-01157-2
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:8777-8793
Stock price prediction is a significant index which helps to achieve maximum benefit with minimum risk by increasing the decision making capability of financial investigators and investors. However, the problem of short term stock price prediction is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbcf0a6af8adae6b7a13f817d3b63c0d
https://doi.org/10.1016/j.jksuci.2021.10.004
https://doi.org/10.1016/j.jksuci.2021.10.004
Autor:
Raj Kumar, Tirath Prasad Sahu
Publikováno v:
2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc42b2515b4ede9740a0f601999743f7
https://doi.org/10.1109/otcon56053.2023.10114026
https://doi.org/10.1109/otcon56053.2023.10114026
Publikováno v:
Neural Computing & Applications
Stock index price forecasting is the influential indicator for investors and financial investigators by which decision making capability to achieve maximum benefit with minimum risk can be improved. So, a robust engine with capability to administer u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9652537646f7b2a8f99b445c31928b8c
https://doi.org/10.1007/s00521-021-06403-x
https://doi.org/10.1007/s00521-021-06403-x
Publikováno v:
Evolutionary Intelligence. 16:197-228
Symbiotic Organism Search (SOS) is a novel metaheuristic algorithm based on reciprocal behaviour of organisms in environment by considering three imperative relationships such as mutualism, commensalism and parasitism. The mutualism phase of SOS algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffb80ac14f1857e3ae946f77b1ef6e78
https://doi.org/10.1007/s12065-021-00650-6
https://doi.org/10.1007/s12065-021-00650-6
Publikováno v:
Next Generation Healthcare Systems Using Soft Computing Techniques ISBN: 9781003217091
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f6d467ef13a76355be9e3ce602e0f92
https://doi.org/10.1201/9781003217091-1
https://doi.org/10.1201/9781003217091-1
