In this paper we introduced the concept of intuitionistic fuzzy soft normal subhemiring of a hemiring and establish some results on these we also made the attempt to study the properties of intuitionistic fuzzy soft normal subhemiring of a hemiring under homomorphism and anti-homomorphism.

The challenging task in surveying multivariate data is the quantification and identification of associations between a set of consistent variables. In this research paper, a novel robust model has been proposed that helps in the detection of different cancers generated due to different biomarker proteins (Protein Kinase B, MAPK, and mammalian Target of Rapamycin). Later, to cure cancer, different drugs (Perifosine, Wortmannin, and Rapamycin) have been suggested. To obtain all the results, different experiments were carried out. that can helps in the detection of different cancer. The drugs specified in this paper helps in reducing related cancer. A correlation test is used for normalization and Parallel Coordinates Plots are used for scaling the data. In this paper, a robust model is designed using Boosted tree algorithm and kNN using different distances approaches. The boosted tree method was trained to diagnose different cancer enhancing the medical diagnosis system. A robust model was validated by predicting the different values which were plotted with the observed value and that agrees with the proposed technique to uncover biomarkers to show the effectiveness of our technique.

Ensuring mobility and the necessary volume of transport is one of the basic preconditions for the functioning of the economy. The potential threat to existing transport systems is therefore an area that needs increased attention. It is necessary to continuously monitor the progress of shipments, identify and evaluate the risks that may affect them. Insufficient attention to this issue can lead to time and material losses, in the worst case, the death of their participants, or to the high financial costs required to rebuild the disrupted system. Transport is an open system in which more and more people are working, whether transported or involved in its organization, which increases the possibility of their failure and facilitates the possibility of attack. Strict application of risk management, assessment and, if necessary, implementation of the necessary measures can lead to the protection of high-value assets.

Banks\' digitalization is impartments a future trend and a national financial technology policy in Taiwan. This research aims to study which factors will affect digital accounts\' promotion of digital banking. Specifically, we apply the gray relational analysis (GRA) methodology to analyze and identify the main factors of digital banking development. The empirical findings can briefly be summarized as follows: 1. In this study, the GRA methodology was used to analyze the degree of association of the sequence of discrete data in a small sample. 2. Digital banking wants to promote digital accounts significantly; it must utilize existing credit card users. Moreover, digital banking must pay attention to lowering fees, thereby allowing customers to save on handling fees, such as transfers or withdrawals. The digital account is free to use, so it will attract people to open a digital account. However, other factors will not influence the promotion of bank digital account business.