M
Muhammad Umair
Researcher at University of Engineering and Technology, Lahore
Publications - 15
Citations - 290
Muhammad Umair is an academic researcher from University of Engineering and Technology, Lahore. The author has contributed to research in topics: Computer science & Overhead (computing). The author has an hindex of 4, co-authored 15 publications receiving 141 citations.
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Journal ArticleDOI
Enabling IoT platforms for social IoT applications: Vision, feature mapping, and challenges
TL;DR: Standard features of OS as well as hardware IoT platforms are considered and an OS-to-hardware architectures features-mapping is provided while exploring the unique requirements of SIoT applications.
Journal ArticleDOI
Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT.
TL;DR: In this article, the authors discuss the potential impact of the pandemic on the adoption of the Internet of Things (IoT) in various broad sectors, namely healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT.
Journal Article
Effect of biochar, FYM and mineral nitrogen alone and in combination on yield and yield components of maize
Muhammad Arif,Asad Ali,Muhammad Umair,Fazal Munsif,Kawsar Ali,Inamullah,Muhammad Saleem,Gohar Ayub +7 more
TL;DR: In this paper, the impact of nitrogen sources on various yield characters of maize crop was evaluated at New Developmental Farm of Agricultural University Peshawar, Pakistan in 2009 in a randomi zed complete block design (RCBD) with split plot arrangement having three replications.
Posted ContentDOI
Clustering of Countries for COVID-19 Cases based on Disease Prevalence, Health Systems and Environmental Indicators
TL;DR: In this paper, the authors used unsupervised k-means algorithm to cluster the countries using social, economic, health and environmental related metrics affecting the disease spread so as to implement the policies to control the widespread of disease.
Proceedings ArticleDOI
An Auditing Framework for Vulnerability Analysis of IoT System
Ibrahim Nadir,Zafeer Ahmad,Haroon Mahmood,Ghalib A. Shah,Farrukh Shahzad,Muhammad Umair,Hassam Khan,Usman Gulzar +7 more
TL;DR: Standout features in the suggested framework are its modular design, extensibility, scalability, tools integration and primarily autonomous nature.