M
Muhammad Irfan
Researcher at Najran University
Publications - 928
Citations - 10675
Muhammad Irfan is an academic researcher from Najran University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 36, co-authored 646 publications receiving 6333 citations. Previous affiliations of Muhammad Irfan include Pakistan Council of Scientific and Industrial Research & American University of Sharjah.
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Journal ArticleDOI
Genetic analysis of chlorophyll content in maize by mixed major and polygene models
TL;DR: Genetic analysis of chlorophyll content was conducted by joint segregation analysis of four generations P1, P2, F1 and F2:4 from the cross Shen3336iShen3265 using the mixed major genes and polygenes inheritance models to reveal that chlorophyLL “a” was controlled by two main gene having additive-dominanceepistasis effects.
Journal ArticleDOI
Effect of Fermentation Broth of Endophytic Fungi on Physiological and Biochemical Characteristics of Tomato Seedling Under Calcium Nitrate Stress
TL;DR: In this article, the fermentation broth produced from seven strains of endophytic fungi was sprayed on tomato plants at seedling stage, with comparison to the commercial microbial fertilizer to study the physiological and biochemical characteristics of tomato seedling.
Prevalence of Angina Pectoris in Relation to Various Risk Factors
Muhammad Naeem Iqbal,Asfa Ashraf,Fakhar-un-Nisa Yunus,Ali Muhammad,Saman Alam,Shiwei Xiao,Shahzad Ali,Muhammad Irfan +7 more
TL;DR: In relation to various risk factors, silent angina pectoris is the most prevalent in females as compared to males and the mortality rate in this sample is 12%.
Proceedings ArticleDOI
Design of Multi Model Predictive Control for nonlinear process plant
TL;DR: The proposed multi MPC scheme applying for CSTR nonlinear process shows that Multi Model Predictive Control based on T-S Fuzzy model can improve the performance of conventional MPC in nonlinear control system.
Journal ArticleDOI
An experimental demonstration of hybrid fuzzy-fuzzy space-vector control on AC variable speed drives
TL;DR: This work presents the experimental demonstration of a hybrid fuzzy-fuzzy controller speed control of a squirrel-cage induction motor variable speed drive based on the space-vector pulse width modulation technique by means of digital signal processing.