Muhammad Shahzad Akhtar

ORCID: 0000-0002-6815-8811
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About
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Research Areas
  • Computational Drug Discovery Methods
  • Interconnection Networks and Systems
  • VLSI and FPGA Design Techniques
  • Graph theory and applications
  • Artificial Intelligence in Games
  • Free Radicals and Antioxidants
  • Japanese History and Culture
  • Graph Labeling and Dimension Problems
  • Advanced Graph Theory Research

Bahauddin Zakariya University
2019-2020

Reverse entropies are the molecular descriptors that describe structures of chemical compounds. They used in isomer discrimination, structure-property relationship, and structure-activity relations. In this study, QSPR models were designed using reverse degree-based to predict physical properties benzene derivatives. The relationship analyses between physicochemical done by curvilinear regression method. A Maple software based algorithm was make computation easy. Analysis performed SPSS...

10.1080/10406638.2023.2196429 article EN Polycyclic aromatic compounds 2023-04-08

10.1016/j.tcs.2019.05.035 article EN publisher-specific-oa Theoretical Computer Science 2019-07-02

The degree diameter problem explores the biggest graph (in terms of number nodes) subject to some restrictions on valency and graph. restriction does not impose any condition edges (apart from taking simple), so resulting may be thought as being embedded in complete In a generality said problem, is taken connected host this article, considered enhanced mesh network constructed grid network. This article provides exact values for also gives bounds optimal graphs.

10.1155/2020/9869201 article EN cc-by Journal of Mathematics 2020-05-01
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