Study of Perception of Creative Accounting Techniques and Applications in Bangladesh perspective, here the main objective is to investigate the gap analysis as well between the perception of auditors and the accountants in relation to creative accounting technique and application. In
Essential proteins are important for the survival of the organism. Those play a vital role to prepare antibiotics, disease diagnosis, understanding the organism structure, etc. That is why essential proteins now become one of the hot topics in current research. In recent times, many methods were proposed to identify the essential proteins. But the identification rate of the essential proteins is still low. Therefore, an efficient approach is required to identify the essential proteins with high performance. In this paper, a machine learning-based efficient method is proposed to identify the essential proteins. To identify the essential proteins, both balanced and imbalanced datasets are used here. For data balancing, different techniques are used to observe the efficiency of the methods. Both topological and biological features are used in this method. The S. Cerevisiae dataset is used to evaluate the proposed method. Another dataset of species E. coli is used to validate the performance of this method. Three classifiers such as Random Forest, LightGBM, XGBoost, and an ensemble method of these three classifiers are used to predict the essential proteins. The best performance is achieved from the balanced dataset from the SMOT+ENN and Random Forest classifier. The results are balanced both in accuracy and F1-score which is also best compared to the existing related methods.
Document representation is one of the most fundamental issues in information retrieval application. The graph-based ranking algorithms represent document as a graph. Once a document is represented as graph, the similarity of that document to a query can be calculated in various ways and the calculation provides ranking to documents. This paper introduces an improved random-walk method to rank a document by considering position of a term within a document and information gain of that term within the whole document set. The experiments on various collection sets show that our approach improves the recall and precision than other proposed methods.
In this article we discuss the concept of wavelets, different forms of wavelets and their properties, graphs of different wavelets and their Fourier transforms are shown. We have also discussed the comparative advantages of wavelet transforms over Fourier transforms- in analyzing signals.
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