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Time series data analysis of stock price movement using machine learning techniques
(Springer, 2020)
Stock market also called as equity market is the aggregation of the sellers and buyers. It is concerned with the domain where the shares of various public listed companies are traded. For predicting the growth of economy, ...
Comparative Analysis of Salt and Pepper Removal Techniques for Binary Images
(Springer, 2020)
Binarization is the most important step in the OCR system that converts the gray level or colored images into bi-level form. In the case of degraded images, results after binarization mostly contain noises. Salt and pepper ...
Modified Sauvola binarization for degraded document images
(Elsevier, 2020)
The binarization of historical documents is a difficult job due to the presence of many degradations. Many existing local binarization techniques use certain manually adjusted parameters. The output of these techniques is ...
Static, dynamic and intrinsic features based android malware detection using machine learning
(Springer, 2020)
Android is one of the smartest and advanced operating systems in the mobile phone market in the current era. The number of smartphone users based on the Android platform is rising swiftly which increases its popularity all ...
Analysis of Wormhole Attack on AODV and DSR Protocols Over Live Network Data
(Springer, 2020)
Wireless ad hoc networks due to their open deployment architecture, are highly exposed to many security compromising attacks. These attacks can cause a lot of damage to privacy, security, and robustness of networks. The ...
Clustering of tweets: A novel approach to label the unlabelled tweets
(Springer, 2020)
Twitter is one of the fastest growing microblogging and online social networking site that enables users to send and receive messages in the form of tweets. Twitter is the trend of today for news analysis and discussions. ...