Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Imtiaz Ali Korejo"'
Autor:
Priyanka Karmani, Aftab Ahmed Chandio, Imtiaz Ali Korejo, Oluwarotimi Williams Samuel, Majed Aborokbah
Publikováno v:
PeerJ Computer Science, Vol 10, p e2397 (2024)
Background Tuberculosis (TB) remains one of the top infectious killers in the world and a prominent fatal disease in developing countries. This study proposes a prototypical solution to early prevention of TB based on its primary symptoms, signs, and
Externí odkaz:
https://doaj.org/article/30c93ce374364f23aaeb996093660d45
Autor:
Fauzia Talpur, Imtiaz Ali Korejo, Aftab Ahmed Chandio, Ali Ghulam, Mir. Sajjad Hussain Talpur
Publikováno v:
Sensors, Vol 24, Iss 5, p 1672 (2024)
The escalating reliance of modern society on information and communication technology has rendered it vulnerable to an array of cyber-attacks, with distributed denial-of-service (DDoS) attacks emerging as one of the most prevalent threats. This paper
Externí odkaz:
https://doaj.org/article/01b56787dd2648fa8b14b461a67bd0bb
Autor:
Muhammad Saleem Chandio, Zubair Ahmed Kalhoro, Aftab Ahmed Chandio, Fan Zhang, Imtiaz Ali Korejo
Publikováno v:
International Journal of Computing and Digital Systemss. 6:37-44
Publikováno v:
2019 Third World Conference on Smart Trends in Systems Security and Sustainablity (WorldS4).
This paper addresses a preliminary model for self-aware heatstroke early-warning system based on the healthcare internet of things (IoT). Basically, heatstroke is a syndrome caused by human's body overheating, commonly due to lengthy exposure or phys
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811360510
This paper describes the notion of machine learning practices and key technologies for healthcare informatics. We categorize the machine learning techniques applied for Healthcare Informatics into four categories: machine learning types, approaches,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5819a4c8f04725965961d41baeb9edaa
https://doi.org/10.1007/978-981-13-6052-7_5
https://doi.org/10.1007/978-981-13-6052-7_5
Publikováno v:
2017 IEEE 15th Student Conference on Research and Development (SCOReD).
This paper addresses the well-known virtual machine (VM) scheduling problem in infrastructure as a service (IaaS) cloud environments to reduce the operational cost of the system together satisfying quality of service (QoS) constraints. We provide the