M
Munir Ahmad
Researcher at National College of Business Administration and Economics
Publications - 343
Citations - 4567
Munir Ahmad is an academic researcher from National College of Business Administration and Economics. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 24, co-authored 259 publications receiving 2487 citations. Previous affiliations of Munir Ahmad include Pir Mehr Ali Shah Arid Agriculture University.
Papers
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Technical efficiency measures for dairy farms using panel data: A comparison of alternative model specifications
Munir Ahmad,Boris E. Bravo-Ureta +1 more
TL;DR: In this article, the authors examined the impact of fixed effects production functions vis-a-vis stochastic production frontiers on technical efficiency measures and found that the fixed effects technique was superior to the traditional frontier methodology.
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IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare—A Review
Taher M. Ghazal,Mohammad Kamrul Hasan,Muhammad Alshurideh,Haitham M. Alzoubi,Munir Ahmad,Syed Shehryar Akbar,Barween Al Kurdi,Iman Akour +7 more
TL;DR: In this paper, the authors discussed in detail how AI-powered IoT and WSNs are applied in the healthcare sector, which is a promising one with the potential of minimizing inefficiencies in the existing infrastructure.
Posted Content
The Impact of Institutional Credit on Agricultural Production in Pakistan
TL;DR: In this article, the authors discussed various indicators of agricultural credit in Pakistan and presented results of estimated production function using institutional credit as one of the explanatory variables over the years, increased percentage of agricultural GDP has been disbursed as institutional credit during the study period disbursement of institutional credit per cropped hectare also depicted an increasing trend in nominal terms.
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Prioritizing and overcoming biomass energy barriers: Application of AHP and G-TOPSIS approaches
Muhammad Imran,Rajvikram Madurai Elavarasan,Munir Ahmad,Muhammad Naeem Mohsin,Vishal Dagar,Yu Hao +5 more
TL;DR: In this article , the Grey Technique for Order Preference by Similarity to Ideal Solution (G-TOPSIS) is used to rank the alternative solutions to these barriers and the overall ranking indicates that "technological complexity" ranks highest among all sub-barriers across all categories.