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152. Research Trends on Open Science: A Bibliometric Analysis and Visualization

Author

Ayush Kumar, Patel, Kunwar, Singh, M.P. Singh, M.P. Singh, and Sharad Kumar Sonkar, Sharad Kumar Sonkar

Subjects
LZ. None of these, but in this section.
Abstract

This study examines Open Science research output at a global level from 1989 to 2021. The data was obtained from the Web of Science database. During the study, 1301 records were retrieved. The data was then visualized using VOSviewer software version 1.1.16. The finding revealed that Ross, Joseph S., and Bradley, Jean-Claude were the most prolific authors, with 7 documents. The leading organization on open science research was the MCGILL University, with 25 documents. Furthermore, the United States had supplied 442 documents, followed by England with 169 and Germany with 113. The finding indicates that there was a steady increase in open science research during the study period.

Published
2022

163. Raising and lowering operators for quantum billiards

Author

Mandwal, Ayush Kumar and Jain, Sudhir R.

Subjects
Quantum Physics
Abstract

For planar integrable billiards, the eigenstates can be classified with respect to a quantity determined by the quantum numbers. Given the quantum numbers as $m, n$, the index which represents a class is $c = m\, \mbox{mod}\, k\,n$ for a natural number, $k$. We show here that the entire tower of states can be generated from an initially given state by application of the operators introduced here. Thus, these operators play the same role for billiards as raising and lowering operators in angular momentum algebra., Comment: 6 pages, 1 figure

Published
2017
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170. Review on Next Step Home Automation Using Wi-Fi Module

Author

Patel, Himanshu Kumar, Gaur, Vishvapriya, Kumar, Shivam, Singh, Ayush Kumar, Mittal, Sudhanshu, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Agrawal, Rajeev, editor, Kishore Singh, Chandramani, editor, and Goyal, Ayush, editor

Published
2021
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171. PolyOnto: Conceptual Modeling and Evaluation of Ontologies for Polymerization Reactions Based on XML to OWL Transfiguration

Author

Ayush Kumar, A., Deepak, Gerard, Santhanavijayan, A., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Komanapalli, Venkata Lakshmi Narayana, editor, Sivakumaran, N., editor, and Hampannavar, Santoshkumar, editor

Published
2021
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173. Design and Development of Mobile Augmented Reality

Author

Sharma, Mugdha, Vaidya, Ritivik, Saxena, Ayush Kumar, Aggarwal, Isha, Khurana, Jalaj, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Castillo, Oscar, editor, and Virmani, Deepali, editor

Published
2021
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174. Innovations and Future of Robotics

Author

Agrawal, Ayush Kumar, Pidge, Pritam, Bharti, Manisha, Dev, M. Prabhat, Kedare, Prashant Kaduba, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Singari, Ranganath M., editor, Mathiyazhagan, Kaliyan, editor, and Kumar, Harish, editor

Published
2021
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175. A Step Towards Next-Generation Mobile Communication: 5G Cellular Mobile Communication

Author

Agrawal, Ayush Kumar, Bharti, Manisha, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Singari, Ranganath M., editor, Mathiyazhagan, Kaliyan, editor, and Kumar, Harish, editor

Published
2021
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176. Analysis of Offset Quadrature Amplitude Modulation in FBMC for 5G Mobile Communication

Author

Agrawal, Ayush Kumar, Bharti, Manisha, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Bansal, Poonam, editor, Tushir, Meena, editor, Balas, Valentina Emilia, editor, and Srivastava, Rajeev, editor

Published
2021
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177. A Math Formula Extraction and Evaluation Framework for PDF Documents

Author

Shah, Ayush Kumar, Dey, Abhisek, Zanibbi, Richard, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Lladós, Josep, editor, Lopresti, Daniel, editor, and Uchida, Seiichi, editor

Published
2021
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178. Emotional detection system using machine learning.

Author

Singh, Vijay Narayan and Yaduka, Ayush Kumar

Subjects
*ARTIFICIAL neural networks, *MACHINE learning, *REAL-time computing, *HUMAN facial recognition software, *DEEP learning, *STREAMING video & television, *USER interfaces
Abstract

By examining face traits, computer-based facial recognition technology may recognise people in digital photos or videos. It is based on machine learning, is one of the methods for facial recognition that is most frequently employed. One method for reliably identifying faces in real-time video streams and still photos is MTCNN, which is based on deep learning. To find faces inthe image at various scales and locations, the method employs a sequence of cascade classifiers. In order to identify the person in the image or video, MTCNN first detects faces and then utilises a deep neural network to extract facial landmarks like the eyes, nose, and mouth. The quality of the input images or videos, the quantity and quality of the training data, and the setup of the neural network are just a few of the variables that affect how accurate MTCNN-based facial recognition systems are. MTCNN-based face recognition systems have generally demonstrated significant promise for a variety of applications, including security, law enforcement, and biometric authentication. Finding a pattern using MTCNN and using it to recognise the emotion are both necessary for emotion detection. This idea enables us to acquire outcomes, regardless of how tough a working experience is, and it also helps us avoid accidents. We create a system that processes data in real-time and provides the user with feedback in this work. Prior to processing the data values and displaying it to the user via an interface, we first choose the default emotion level. Then, we ask the user for assistance in accordance with that. [ABSTRACT FROM AUTHOR]

Published
2024
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179. Brain tumor segmentation using 3D UNet.

Author

Arthi, Agarwal, Mahek, and Singh, Ayush Kumar

Subjects
BRAIN tumors, CONVOLUTIONAL neural networks, CENTRAL nervous system, BRAIN diseases
Abstract

Since the brain is most crucial component of our central nervous system and the transmitter of instructions for action, its health has a significant effect on the body. One of the most deadly but common brain diseases, brain tumors can occur at any age, so prevention is essential. So, a series of MRI scans are used to monitor patients. Doctors must manually review a series of photographs to pinpoint the exact location of the tumor, which takes a lot of time. For this reason, we decided to use automatic segmentation and implemented UNet, one of the most famous convolutional neural networks (CNN) architecture for biomedical brain image segmentation, which has become popular in the Multimodal Brain tumor Segmentation Challenge done annually (BRaTS). In this effort, we use the BRATS dataset, which included a series of scans from patients with HGG and LGG. By creating segmentation labels based on FLAIR, T1, T2 and T1c scans such as Enhancing tumor, Edema, Necrotic and non-enhancing tumor and background, we are able to identify the region. The full scan volume is used as input in the form of 3D arrays (240x240x155), which are then pre-processed into slices by removing unnecessary slices from the start and end and focusing on the core region before providing a 4-channel input to the model. Unlike earlier strategies that manually combined multiple input resolutions or paths with distinct filters, the UNet-based design allows the network to naturally recombine different scales. [ABSTRACT FROM AUTHOR]

Published
2024
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180. Critical Review

Author

Pandey, Ayush Kumar, primary, Iqbal, Arshad, additional, Bhanote, Vedant Singh, additional, and Swathika, O.V. Gnana, additional

Published
2024
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198. Image Compression Using Hybrid Approach and Adaptive Scanning for Color Images

Author

Nigam, Ayush Kumar, Khare, Priyank, Srivastava, Vinay Kumar, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Dutta, Debashis, editor, Kar, Haranath, editor, Kumar, Chiranjeev, editor, and Bhadauria, Vijaya, editor

Published
2020
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