Image Processing in Intelligent Character Recognition for Digitized Forms Processing
Image processing is widely used nowadays to get insights from Image Data. This research paper enlightens one such application of Image Processing in Intelligent Character Recognition which is automated extraction of data from handwritten forms in scanned jpg/png/tif format.
Intelligent System For Analyzing Sentiments of Feedback
This paper enlightens the way companies can design Intelligent System to understand their customers’ sentiments better to improve their experience, which will help the businesses change their market position.
In this paper, an unsupervised approach for the automated tagging of articles in the Chinese language has been implemented. Unlike the English characters, Chinese characters do not make use of separators.
Hybridised intelligent systems are more adaptable to solving real-world complex problems. In this paper, an attempt has been made to show how a hybrid system involving fuzzy regression analysis and Bayesian Gaussian reasoning can be designed.
This paper highlights a comparison between different time series forecasting algorithms for forecasting noisy time series data. Neural networks based time series forecasting proved to be more accurate & robust.