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Crime information extraction from news articles
(Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
In the modern era all news reportings are available in digital form. Most newsagencies put it on their website and are freely available. This motivates us totry extracting some information from online news reporting. While ...
Rule based approach for aspect extraction from product reviews
(Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
With the advent of technology, there has been an escalation in the usage of Internet and social media. This led to the generation of tremendous amounts of data on a daily basis. While sentiment analysis provides fantastic ...
Thinning of handwritten Gujarati numerals
(Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
skeletonization "also known as Thinning" is one of the crucial approach of featureextraction and recognition task.Thinning is a most significant pre-processingtechnique in many image processing applications such as Character ...
Image segmentation fusion by edge detection techniques
(Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
Image Segmentation is one of the basic building blocks in image processing.It is a pre-processing task to make an image processable for further operations such as noise removal,decomposition,morphological operations etc.It ...
Personalized gait abnormality detection system
(Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
Gait refers to walking manner of a person, and it is also an indication of neurologicalhealth status of a person. Gait variability can occur due to factors like aging,injuries and diseases. If not notified or diagnosed at ...
Image denoising
(Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
Image Denoising has been a topic of research interest since as early as 17th century. Various techniques of denoising a noisy image have evolved. In fact, the endeavor towards better Image denoising techniques continues ...