International Journal of Software Computing and Testing
Volume 6, Issue 1 (2020)
Published
Table of contents
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Adaptive Text_Summarization: A Meaningful Summarization of Reviews
Abstract: Adaptive text_summarization is a model which takes elaborated data set of reviews containing more than two attributes as input and further breaks down those large chunks of text into summarized - form by eliminating attributes which are of less important for final evaluation. We keep only those attributes which contribute for better adaptation of meaning of the dataset. We have executed the techniques of Recurrent Neural-Network and Seq2Seq models to …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 1–7 Read article
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Feature Extraction and Evaluation of Colon Cancer Using PCA, LDA and Gene Expression
Abstract: At about 90 per cent of cases occurring in 50 people or older, colorectal cancer is the second most common type of cancer globally. Cancers may penetrate the deeper layers of colon and spread to other organs from the inner surface or from the muscular layer of the colon. The illness is lethal left untreated. Current screening of colon cancer is performed by colonoscopy. Visual examination of the colon and …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 26–32 Read article
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Mathematical Education visualizing with Printing 3-D Technology
Abstract: The main objective of this paper is to explain the role of 3D printing technology in the field of mathematical education. Visual teaching has always been an important component of education. Abstract mathematical concepts help students in understanding and mastering knowledge. One of the prominent technologies in visualizing the mathematical concepts is 3D Printing. In this paper, it is discussed that how 3D printing helps in conceptual understanding and creating …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 33–38 Read article
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Review of Feature Selection Methods and Semi Supervised Feature Selection Algorithms for Classification
Abstract: Current evolution in technology has resulted in tremendous growth of data with respect to dimensionality and sample size. Knowledge discovery from these high dimensional data are becoming cumbersome. Though powerful machine learning algorithms are prevalent, noisy data, imperfect sensing and collection of data leads to poor and defective knowledge discovery. Noise and redundant features cannot be circumvented due to which data collection process is biased. Dimensionality reduction techniques namely feature …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 39–51 Read article
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Experimental Realization of Constrained Optimization of Sliding Mode Controller Parameters with Modified Objective Functions
Abstract: An appropriately tuning of Sliding Mode Control (SMC) can be used to overcome the weaknesses like sensitivity to parameter variations, modeling errors and external disturbances. In this research article, Non-Dominated Sorting Genetic Algorithm (NSGA-II) based SMC with modified objective function and the best weight values have been evaluated to improve the performance of closed-loop level control system. Equivalent weights and importance weights are assigned to each term of an objective …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 8–25 Read article