Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nafees Ul Hassan"'
Autor:
Waqas Haider Bangyal, Kashif Nisar, Tariq Rahim Soomro, Ag Asri Ag Ibrahim, Ghulam Ali Mallah, Nafees Ul Hassan, Najeeb Ur Rehman
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 283 (2022)
Optimisation-based methods are enormously used in the field of data classification. Particle Swarm Optimization (PSO) is a metaheuristic algorithm based on swarm intelligence, widely used to solve global optimisation problems throughout the real worl
Externí odkaz:
https://doaj.org/article/2023997266374624a941cd2aa13150e1
Autor:
Nafees Ul Hassan, Waqas Haider Bangyal, M. Sadiq Ali Khan, Kashif Nisar, Ag. Asri Ag. Ibrahim, Danda B. Rawat
Publikováno v:
Symmetry, Vol 13, Iss 12, p 2280 (2021)
Particle Swarm Optimization (PSO) has been widely used to solve various types of optimization problems. An efficient algorithm must have symmetry of information between participating entities. Enhancing algorithm efficiency relative to the symmetric
Externí odkaz:
https://doaj.org/article/09dc0ddc8ae74b428848aa7aacf29b17
Autor:
Muhammad Nafees. ul. Hassan, Misha Arooj, Syed Zohaib Hassan Naqvi, Muhammad Umar Khan, Sumair Aziz, Mohammad Ahmad Choudhary
Publikováno v:
2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE).
World Health Organization Statistics declares the pulmonic illness as the class of deadly illness. Wheezing is a key indicator for the diagnosis of pulmonic illnesses like Asthma and pneumonia. In this research article, the identification of wheeze s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc42b62ee869c2e6ca693a3688d1f546
https://doi.org/10.1109/icecce49384.2020.9179417
https://doi.org/10.1109/icecce49384.2020.9179417
Autor:
M. Sadiq Ali Khan, Ag Asri Ag Ibrahim, Kashif Nisar, Waqas Haider Bangyal, Danda B. Rawat, Nafees Ul Hassan
Publikováno v:
Symmetry, Vol 13, Iss 2280, p 2280 (2021)
Symmetry; Volume 13; Issue 12; Pages: 2280
Symmetry; Volume 13; Issue 12; Pages: 2280
Particle Swarm Optimization (PSO) has been widely used to solve various types of optimization problems. An efficient algorithm must have symmetry of information between participating entities. Enhancing algorithm efficiency relative to the symmetric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25f3092bffa56fc3fcb11dd2e9b393f0
https://doi.org/10.3390/sym13122280
https://doi.org/10.3390/sym13122280