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Muhammad Amir

Researcher at Beijing Forestry University

Publications -  27
Citations -  177

Muhammad Amir is an academic researcher from Beijing Forestry University. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 5, co-authored 21 publications receiving 107 citations.

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Application of land-use/land cover changes in monitoring and projecting forest biomass carbon loss in Pakistan

TL;DR: In this article, the authors focused on the quantitative assessment of spatiotemporal land use and land cover changes during 1998, 2008, 2018 and a simulation of 2028 using Landsat imagery, Markov Chain and Cellular Automata.
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An Appraisal of Agile Software Development Process

TL;DR: This study is based on the survey of previous research reported in the contemporary literature and the practices being followed in this area, and provides a critical assessment of the agile software development process in a systematic manner.
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Effect of Climatic Factors on Stem Biomass and Carbon Stock of Larix gmelinii and Betula platyphylla in Daxing’anling Mountain of Inner Mongolia, China

TL;DR: In this paper, the effect of climate variables including precipitation and temperature on the biomass of Larix gmelinii and Betula platyphylla forests was assessed, and it was shown that both species have a very strong adaptive nature with climate variation and hence can survive under drought and high-temperature stress climatic conditions.
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Patterns of Biomass and Carbon Allocation across Chronosequence of Chir Pine (Pinus roxburghii) Forest in Pakistan: Inventory-Based Estimate

TL;DR: In this article, the authors investigated the relationship between carbon sequestration potential and stand ages of Pinus roxburghii forests in Pakistan using field inventory data, and found that the change in living tree biomass carbon with stand age showed a gradually decreasing trend from young to overmature stand.
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Uplink power control scheme for spectral efficiency maximization in NOMA systems

TL;DR: In this paper , the joint optimization problem of power control and user grouping by considering the uplink NOMA system was addressed using a linear programming approach and three alternative algorithms solved user grouping: Randomly, 2-Opt, and the Hybrid.