Sanidhya Vijayvargiya - researchr alias

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Viewing Publication 1 - 7 from 7

2023

Empirical Analysis for Investigating the Effect of Machine Learning Techniques on Malware PredictionSanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni. ENASE 2023: 453-460 [doi]

Software Engineering Comments Sentiment Analysis Using LSTM with Various Padding SizesSanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni. ENASE 2023: 396-403 [doi]

2022

Software Sentiment Analysis Using Machine Learning with Different Word-EmbeddingVenkata Krishna Chandra Mula, Sanidhya Vijayvargiya, Lov Kumar, Surender Singh Samant, N. L. Bhanu Murthy. iccsa 2022: 396-410 [doi]

Software Requirements Classification using Deep-learning Approach with Various Hidden LayersSanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra. FedCSIS 2022: 895-904 [doi]

COVID-19 Article Classification Using Word-Embedding and Different Variants of Deep-Learning ApproachSanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra. icai2 2022: 15-30 [doi]

COVID-19 Article Classification Using Word-Embedding and Extreme Learning Machine with Various KernelsSanidhya Vijayvargiya, Lov Kumar, Aruna Malapati, Lalita Bhanu Murthy Neti, Aneesh Krishna. aina 2022: 69-81 [doi]

Software Functional Requirements Classification Using Ensemble LearningSanidhya Vijayvargiya, Lov Kumar, Aruna Malapati, N. L. Bhanu Murthy, Sanjay Misra. iccsa 2022: 678-691 [doi]

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