Browsing by Author "Singhal, Achintya"
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Publication 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, AchintyaPostpartum 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.Publication Brain Inspired Visual Effects and Animation Psychological Computing Impact in Indian Television Advertisement Pre and Post 2000s(IOS Press BV, 2021) Dhanunjay, Gondi Surender; Singh, Pranjal; Samee, Sayyad; Vengatesan, K.; Kumar, Abhishek; Singhal, AchintyaTechnology in its immense boom in the last decade has made us aware of a lot of ways to increase consumer potential and engagement with different products in various spheres and aspects of production. Taking this idea forward, the main idea of this study is to identify the major visual effects facets being used and how they contributed towards consumer engagement. In this regard, a pilot study was done and then questionnaire has been prepared which was completed by 369 participants between the age group 18-60 years. Hence the main aim of this work is to use statistical data to understand how the last decade has proved beneficial for the Advertising industry through the use of visual effects Statistical analysis is used to interpret the data. � 2021 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).Publication Future Blockchain Technology for Autonomous Applications/Autonomous Vehicle(IGI Global, 2021) Show, Arnab Kumar; Kumar, Abhishek; Singhal, Achintya; Gayathri, N.; Vengatesan, K.The autonomous industry has rapidly grown for self-driving cars. The main purpose of autonomous industry is trying to give all types of security, privacy, secured traffic information to the self-driving cars. Blockchain is another newly established secured technology. The main aim of this technology is to provide more secured, convenient online transactions. By using this new technology, the autonomous industry can easily provide more suitable, safe, efficient transportation to the passengers and secured traffic information to the vehicles. This information can easily gather by the roadside units or by the passing vehicles. Also, the economical transactions can be possible more efficiently since blockchain technology allows peer-to-peer communications between nodes, and it also eliminates the need of the third party. This chapter proposes a concept of how the autonomous industry can provide more adequate, proper, and safe transportation with the help of blockchain. It also examines for the possibility that autonomous vehicles can become the future of transportation. � 2022 by IGI Global. All rights reserved.Publication Reliable (secure, trusted, and privacy preserved) cross-blockchain ecosystems for developing and non-developing countries(IGI Global, 2022) Keshri, Shubham Kumar; Singhal, Achintya; Kumar, Abhishek; Vengatesan, K.; Rakesh, S.The chapter suggests an iterative social system in which individuals and totals use a development, watch its arranged and unintended outcomes, and after that, build new improvements. Blockchain development has the potential to construct productivity, capability, straight imposition, and disintermediation in shared worth or information exchange. This chapter proposes how the blockchain will be implemented in developing and non-developing countries. These countries can use the blockchain for financial services, transportation, healthcare, e-marketplace, etc. And what is the risk and danger of using blockchain in non-developed countries? � 2023, IGI Global. All rights reserved.Publication Secure watermarking scheme for color DICOM images in telemedicine applications(Tech Science Press, 2022) Singh, Kamred Udham; Abu-Hamatta, Hatem Salem; Kumar, Abhishek; Singhal, Achintya; Rashid, Mamoon; Bashir, A.K.Teleradiology plays a vital role in the medical field, which permits transmitting medical and imaging data over a communication network. It ensures data reliability and provides convenient communication for clinical interpretation and diagnostic purposes. The transmission of this medical data over a network raises the problems of legal, ethical issues, privacy, and copyright authenticity. The copyright protection of medical images is a significant issue in the medical field. Watermarking schemes are used to address these issues. A gray-level or binary image is used as a watermark frequently in color image watermarking schemes. In this paper, the authors propose a novel non-blind medical image watermarking scheme based on 2-D Lifting Wavelet Transform (LWT), Multiresolution Singular Value Decomposition (MSVD), and LU factorization to improve the robustness and authenticity of medical images. In this scheme, multiple color watermarks are embedded into the colored DICOM (Digital Imaging and Communications in Medicine) images obtained from Color Doppler images (DICOM format), and the average results achieved by our proposed scheme is 46.84 db for Peak Signal-to-Noise Ratio (PSNR), 37.46 db for Signal-to-Noise Ratio (SNR), 0.99 for Quality of Image and 0.998 for Normalized Correlation for various image processing attacks. These results make our watermarking technique an ideal candidate for medical image watermarking. � 2022 Tech Science Press. All rights reserved.Publication Security, privacy, and trust management and performance optimization of blockchain(IGI Global, 2022) Gupta, Priti; Kumar, Abhishek; Singhal, Achintya; Saurabh, Shantanu; Kumar, V. D. AmbethBlockchain 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.
