Výsledky vyhledávání - "M. M. Gowthul Alam"

Akademický článek

Addressing security challenges in industry 4.0: AVA-MA approach for strengthening SDN-IoT network security

Autor: Uma Mageswari, R., N, Zafar Ali Khan, M M, Gowthul Alam, S, Jerald Nirmal Kumar

Publikováno v: In Computers & Security September 2024 144

An Integration of Archerfish Hunter Spotted Hyena Optimization and Improved ELM Classifier for Multicollinear Big Data Classification Tasks

Autor: S. Chidambaram, M. M. Gowthul Alam

Publikováno v: Neural Processing Letters. 54:2049-2077

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::739ea458efc46a5ab21b4a32fb0e90d5
https://doi.org/10.1007/s11063-021-10718-0

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Geometric structure information based multi-objective function to increase fuzzy clustering performance with artificial and real-life data

Autor: M. M. Gowthul Alam, S. Baulkani

Publikováno v: Soft Computing. 23:1079-1098

Grey wolf optimizer (GWO) is an efficient meta-heuristic algorithm that is inspired by the particular hunting behavior and leadership hierarchy of grey wolves in nature. In this paper, an efficient opposition-based grey wolf optimizer algorithm is pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4bb3f905e39ba001e6235b2817dda7a7
https://doi.org/10.1007/s00500-018-3124-y

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A Hybrid Approach for Web Document Clustering Using K-means and Artificial Bee Colony Algorithm

Autor: M. M. Gowthul Alam, S. Baulkani

Publikováno v: International Journal of Intelligent Engineering and Systems. 9:11-20

Nowadays data growth is directly proportional to time and it is a major challenge to store the data in an organised fashion. Document clustering is the solution for organising relevant documents together. In this paper, a web clustering algorithm nam

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dbd336f089278179592bb3467026faea
https://doi.org/10.22266/ijies2016.1231.02

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Reformulated Query based Document Retrieval using optimized Kernel Fuzzy Clustering algorithm

Autor: S. Baulkani, M. M. Gowthul Alam

Publikováno v: International Journal of Business Intelligence and Data Mining. 1:1

Clustering-based document retrieval system offers to find similar documents for a given user's query. This study explores the scope of kernel fuzzy c-means (KFCM) with the genetic algorithm on document retrieval issue. Initially, genetic algorithm-ba

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::60a49591b1df9eb4d1b39fcc75cbffd1
https://doi.org/10.1504/ijbidm.2017.10004691

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