Browsing by Author "Manzoor, S."

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    An Analysis of Eccentricity-Based Invariants for Biochemical Hypernetworks
    (Wiley, 2021-10-06) Rashid, M.A.; Ahmad, S.; Siddiqui, M.K.; Manzoor, S.; Dhlamini, M.
    Biological proceedings are well characterized by solid illustrations for communication networks. The framework of biological networks has to be considered together with the expansion of infectious diseases like coronavirus. Also, the graph entropies have established themselves as the information theoretic measure to evaluate the architectural information of biological networks. In this article, we examined conclusive biochemical networks like t‐level hypertrees along with the corona product of hypertrees with path. We computed eccentricity‐based indices for the depiction of aforementioned theoretical frameworks of biochemical networks. Furthermore, explicit depiction of the graph entropies with these indices is also measured.
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    On Topological Analysis of Entropy Measures for Silicon Carbides Networks
    (Wiley, 2021-11-05) Wang, X.L.; Siddiqui, M.K.; Kirmani, S.A.K.; Manzoor, S.; Ahmad, S.; Dhlamini, M.
    The silicon material has provoked and stimulated significant research concern to a considerable extent taking into account its marvelous mechanical, optical, and electronic properties. Naturally, silicons are semiconductors and are utilized in the formation of various materials. For example, it is used in assembling the electronic based gadgets. In this article, we have studied the 2D structure of silicon carbide Si2C3 − I[m, n] and Si2C3 − II[m, n] and then continued to discuss some degree grounded topological descriptors in association with their corresponding entropy measures. We extend this computation to the quantitative and pictorial comparisons which could be beneficial in the structure amendment for effective implementation.