Papers by Sanjeev K Cowlessur
Computación y sistemas, Mar 20, 2024
Studies in Autonomic, Data-driven and Industrial Computing, 2023
Advances in Intelligent Systems and Computing, 2021
Advances in intelligent systems and computing, 2021
Journal of King Saud University - Computer and Information Sciences
Advances in Intelligent Systems and Computing, 2019
This paper introduces alphabetic cryptography inspired by bidirectional DNA encryption algorithm.... more This paper introduces alphabetic cryptography inspired by bidirectional DNA encryption algorithm. Alphabetic cryptography first offers higher randomization and secure communication over the cloud computing platform, and second supports the exchange of complete UNICODE character set. Alphabetic cryptography has been implemented on mobile and desktop platforms. Through experimental studies, it has been observed that randomness of encryption increases exponentially with the increase in the number of alphabets of the alphabetic encryption scheme.
Advances in Intelligent Systems and Computing, 2021
Advances in Intelligent Systems and Computing, 2020
Successful implementation of a software product entirely depends on the quality of the software d... more Successful implementation of a software product entirely depends on the quality of the software developed. However, prediction of the quality of a software product prior to its implementation in real-world applications presents significant challenges to the software developer during the process of development. A limited spectrum of research in this area has been reported in the literature as of today. Most of the researchers have concentrated their research work on software quality prediction using various machine learning techniques. Another aspect pertaining to software quality prediction is that the prediction must be achieved in the earlier stages of software development life cycle in order to reduce the amount of effort required by the developer in course of the development of a software product. In this paper, we carry out a comprehensive review of machine learning techniques which have been used to predict software quality.
It is a well-known fact that sentiments play a vital role and is an incredibly influential tool i... more It is a well-known fact that sentiments play a vital role and is an incredibly influential tool in several aspects of human life. Sentiments also drive proactive business solutions. Studies have shown that the more appropriate data is gathered and analyzed at the right time, the higher the success of sentiment analysis. This paper analyses the correlation between the public mood and the variation in stock prices towards companies in different domains. For each tweet, scores are assigned to eight predefined moods namely “Joy”, “Sadness”, “Fear”, “Anger”, “Trust”, “Disgust”, “Surprise” and “Anticipation”. A regression model is applied to the mood scores and the stock prices dataset to obtain the R-squared score, which is a metric used to evaluate the model. The paper aims to find the moods that best reflect the stock values of the respective companies. From the results, it is observed that there is a definite correlation between public mood and stock market.
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Papers by Sanjeev K Cowlessur