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pro vyhledávání: '"Srilatha Tokala"'
Publikováno v:
Entropy, Vol 25, Iss 9, p 1360 (2023)
Matrix factorization is a long-established method employed for analyzing and extracting valuable insight recommendations from complex networks containing user ratings. The execution time and computational resources demanded by these algorithms pose l
Externí odkaz:
https://doaj.org/article/0757652fb64b40bfbd75822f98b11b54
Autor:
Koduru Hajarathaiah, Murali Krishna Enduri, Satish Anamalamudi, Tatireddy Subba Reddy, Srilatha Tokala
Publikováno v:
Entropy, Vol 24, Iss 5, p 704 (2022)
Computing influential nodes gets a lot of attention from many researchers for information spreading in complex networks. It has vast applications, such as viral marketing, social leader creation, rumor control, and opinion monitoring. The information
Externí odkaz:
https://doaj.org/article/df6918d85b5546f7b8c64158241dced1
Autor:
Jeyanand Vemulapati, Akash Bayyana, Sai Hemanth Bathula, Srilatha Tokala, Koduru Hajarathaiah, Murali Krishna Enduri
Publikováno v:
2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS).
Autor:
Omkar Subhash Ghongade, S Kiran Sai Reddy, Srilatha Tokala, Koduru Hajarathaiah, Murali Krishna Enduri, Satish Anamalamudi
Publikováno v:
2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT).
Autor:
Srilatha Tokala, Koduru Hajarathaiah, Sai Ram Praneeth Gunda, Srinivasrao Botla, Lakshmikanth Nalluri, Pathipati Nagamanohar, Satish Anamalamudi, Murali Krishna Enduri
Publikováno v:
International Journal of Advanced Computer Science and Applications. 14