Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Imdadullah Khan"'
Autor:
Atta Ur Rehman, Abdul Haleem Shah, Sajjad Ur Rahman, Saifur Rehman, Muhammad Kamal Shah, Widya Paramita Lokapirnasari, Imdadullah Khan, Inamullah Malik, Andreas Berny Yulianto
Publikováno v:
Open Veterinary Journal, Vol 13, Iss 10, Pp 1299-1307 (2023)
Background: Mycoplasma synoviae is an important poultry pathogen causing heavy economic losses Worldwide. Subclinical persistence of this pathogen is the major issue to control its prevalence. Aim: This study aimed to determine the molecular and cros
Externí odkaz:
https://doaj.org/article/64876020d4804418b488bad9118ef39a
Publikováno v:
Discrete Mathematics & Theoretical Computer Science, Vol Vol. 17 no. 1, Iss Graph Theory (2015)
Graph Theory
Externí odkaz:
https://doaj.org/article/3f5566edb810494ebc876c90763cb27e
Publikováno v:
Construction and Building Materials. 381:131308
Publikováno v:
Information Sciences. 519:215-228
Immunizing a subset of nodes in a network - enabling them to identify and withstand the spread of harmful content - is one of the most effective ways to counter the spread of malicious content. It has applications in network security, public health p
Analysis of the fairness of machine learning (ML) algorithms recently attracted many researchers' interest. Most ML methods show bias toward protected groups, which limits the applicability of ML models in many applications like crime rate prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::183268d7fadc92c1cf20cde9c5164d9b
Feature extraction is an essential task in graph analytics. These feature vectors, called graph descriptors, are used in downstream vector-space-based graph analysis models. This idea has proved fruitful in the past, with spectral-based graph descrip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d288e5626da78c5c7b36e42210adf9df
http://arxiv.org/abs/2109.01494
http://arxiv.org/abs/2109.01494
Publikováno v:
MobiWac
The unprecedented growth of wireless mobile traffic, mainly due to multimedia traffic over online social platforms has strained the resources in the mobile backhaul network. A promising approach to reduce the backhaul load is to proactively cache con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3d21c9e95f5916d7cc99b1a537b2e24