M
Md. Masud Rana
Researcher at Rajshahi University of Engineering & Technology
Publications - 216
Citations - 2167
Md. Masud Rana is an academic researcher from Rajshahi University of Engineering & Technology. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 22, co-authored 137 publications receiving 1460 citations. Previous affiliations of Md. Masud Rana include University of Technology, Sydney & Khulna University of Engineering & Technology.
Papers
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Urbanization and sustainability: challenges and strategies for sustainable urban development in Bangladesh
Md. Masud Rana,Md. Masud Rana +1 more
TL;DR: In this article, the authors provided a general understanding of urbanization in Bangladesh and tried to embrace related sustainability issues and challenges hindrance to sustainable urban development in Dhaka city and presented a brief case study of water supply in Bangladesh city which introduces an issue of system hijack.
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Social benefits of urban green space : A conceptual framework of valuation and accessibility measurements
Xiaolu Zhou,Md. Masud Rana +1 more
TL;DR: In this article, an integrated valuation and measurement framework is proposed to evaluate the social benefits of green spaces from both provider and consumer perspectives, which includes recreational opportunities, aesthetic enjoyments, adjusting psychologic...
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A review on recent advances of CNTs as gas sensors
TL;DR: In this article, the authors focus on recent contributions of carbon nanotubes (CNTs) to the technology for developing different types of gas sensors, and the design, fabrication process and sensing mechanism of each gas sensor are summarized, together with their advantages and disadvantages.
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Graphene coated fiber optic surface plasmon resonance biosensor for the DNA hybridization detection: Simulation analysis
TL;DR: In this article, a graphene coated optical fiber surface plasmon resonance (SPR) biosensor is presented for the detection of DNA Hybridization, which successfully distinguishes hybridization and single nucleotide polymorphisms (SNP) by observing the variation level of resonance wavelength and spectrum of transmitted power.
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Consensus-Based Smart Grid State Estimation Algorithm
TL;DR: A novel consensus filter based dynamic state estimation algorithm with its convergence analysis for modern power systems and the developed approach is effective as it takes only 0.00004 seconds to properly estimate the system states and does not need to transmit the remote sensing signals to the central estimator.