Browsing by Author "Kumar, V. D. Ambeth"

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    A Survey on the Usage of Pattern Recognition and Image Analysis Methods for the Lifestyle Improvement on Low Vision and Visually Impaired People
    (Pleiades journals, 2021) Anitha, M.; Kumar, V. D. Ambeth; Malathi, S.; Kumar, V. D. Ashok; Ramakrishnan, M.; Kumar, Abhishek; Ali, Rashid
    Abstract: According to World Health Organization in 2017 nearly 253 million people are visually impaired of whom 36 million are blind. Braille books involve the tactile format that helps the visually impaired people to gain knowledge but only a limited resource is available. Enormous papers and studies describe the method for obtaining machine readable document from textual image. In upcoming days character recognition might serve a key role to create a paperless environment that helps the visually impaired people to gain enormous amount of educational material. Handwritten script recognition is gaining vital importance in today�s electronically interconnected society. In the field of machine learning and pattern matching handwritten has gained lot of attention. This paper first summarizes the pros and cons of technologies developed for the visually impaired people in terms of education material obtained from text image and handwritten image. Along with that it presents a performance comparison of different methods. Finally, it describes the future research work in this domain. � 2021, Pleiades Publishing, Ltd.
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    An effective method for predicting postpartum haemorrhage using deep learning techniques
    (Springer, 2022) Kumar, V. D. Ambeth; Ruphitha, S.V.; Kumar, Abhishek; kumar, Ankit; Raja, Linesh; Singhal, Achintya
    Postpartum haemorrhage is a type of blood loss that occurs after the birth of a baby. When you lose more than 500�ml of blood, your blood pressure drops, and you may suffer and die as a result. Deep learning techniques can predict postpartum hemorrhage earlier. As a result, we would be able to save the human. This paper discusses various types of deep learning techniques. This paper focuses on the concept of Convolutional neural networks and divides it into two sections: ZFnet and VGG-16net. By comparing the results of two nets, we can determine which of the techniques is best for predicting postpartum hemorrhage at an earlier stage. This study will be more beneficial to pregnant women in the future. The paper focuses on two nets that are said to be more useful and to be a standardized technique that also helps to give relevant medicine to patients at the appropriate time. In this paper, the algorithm is used for the VGG-16net, and the Confusion matrix is used for both nets to improve performance. Many metrics are used in this research to improve accuracy and results. Finally, the convolutional neural network concept of VGG-16net produced better results than ZF-net. � 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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    Security, privacy, and trust management and performance optimization of blockchain
    (IGI Global, 2022) Gupta, Priti; Kumar, Abhishek; Singhal, Achintya; Saurabh, Shantanu; Kumar, V. D. Ambeth
    Blockchain provides innovative ideas for storing information, executing transactions, performing functions, creating trust in an open environment, etc. Even though cryptographers, mathematicians, and coders have been trying to bring the most trustable protocols to get authentication guarantee over various systems, blockchain technology is secure with no central authority in an open network system because of a large distributed network of independent users. If anyone tries to change the blockchain database, the current hash will also change, which does not match with the previous hash. In this way, blockchain creates privacy and trust in digital data by removing malleability attacks. In this chapter, security and privacy on the blockchain has been focused. The safety and privacy of blockchain are mainly engrossed on two things: firstly, uncovering few attacks suffered by blockchain systems and, secondly, putting specific and advanced proposals against such attacks. � 2023, IGI Global. All rights reserved.