Browsing by Author "Prakash, R."

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    A survey on recurrent neural network architectures for sequential learning
    (Springer Verlag service@springer.de, 2019) Prakash, B.; Sanjeev, K.V.; Prakash, R.; Chandrasekaran, K.
    The expanding textual information and significance of examining the substance has started a colossal research in the field of synopsis. Text summarization is the process of conveying the gist of a text with a minimized representation. The requirement for automation of the procedure is at its apex with exponential burst of information because of digitization. Text captioning comes under the branch of abstractive summarization which captures the gist of the article in a few words. In this paper, we present an approach to text captioning using recurrent neural networks which comprise of an encoder–decoder model. The key challenges dealt here was to figure out the ideal input required to produce the desired output. The model performs better when the input is fed with the summary as compared to the original article itself. The recurrent neural network model with LSTM results has been effective in transcribing a caption for the textual data. © Springer Nature Singapore Pte Ltd. 2019
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    Dynamic behavior of concurrently printed functionally graded closed cell foams
    (Elsevier Ltd, 2021) Dileep, B.; Prakash, R.; Bharath, H.S.; Jeyaraj, J.; Doddamani, M.
    In this work, functionally graded foams (FGFs) of closed cell types are three-dimensionally printed (3DP) concurrently. These closed cell syntactic foams are manufactured by reinforcing 20, 40, and 60 vol% hollow glass microballoons (GMBs) in the high density polyethylene (HDPE) matrix and are investigated for their mechanical buckling and free vibration response. The critical buckling load (Pcr) of the FGFs are evaluated using the Double Tangent Method (DTM), Modified Budiansky Criteria (MBC), and Vibration Correlation Technique (VCT). It is observed that Pcr evaluated by all three methods are in good agreement. Among all FGFs, FGF-2 exhibited higher buckling strength with 22–26% higher than FGF-1 and FGF-3. Under no-load and uniaxial compressive loads, the first three natural frequency of FGFs and their corresponding damping factors are evaluated. At first mode, the natural frequency of FGFs decreases in the pre-buckling zone and started increasing in the post-buckling zone. Damping factor exhibited reverse trend compared to the trend shown by the natural frequencies. Among all FGFs, FGF-2 (20-40-60 GMB gradation) exhibited better natural frequency. Experimental results are compared with a finite element based simulation results. © 2021 Elsevier Ltd
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    Review of techniques for automatic text summarization
    (Springer, 2020) Prakash, B.S.; Sanjeev, K.V.; Prakash, R.; Chandrasekaran, K.; Rathnamma, M.V.; Ramana, V.V.
    Summarization refers to the process of reducing the textual components such as words and sentences but conveying most of the information in the input text. Research in summarization is very prominent in the current scenario where the textual data available is enormous and contains valuable information. People have been interested in summarization since time immemorial. The methods adopted in the past relied on manually reading the text and based on one’s understanding of the text, manually generating the summary. In the current world, due to the explosion of data from Internet and social media, the manual process is very tedious and time-consuming. As a result, there is a great need to automate the process of summarization. In this paper, we summarize most of the researches in the field of summarization which is unique and path-breaking. © Springer Nature Singapore Pte Ltd. 2020.