3,259 research outputs found
Interview with Anand Kumar
No full text<< Prof. Anand Kumar is a retired professor of sociology at Jawaharlal Nehru University. He was a student at JNU in the 1970s and was a part of a student collective called Free Thinkers at JNU. He shares his experiences of being part of the JP Movement during the Emergency of 1975-77. This material is exhibited as part of the Memories of Change exhibition
Dataset supporting: A sub-nW/kHz Relaxation Oscillator with Ratioed Reference and sub-Clock Power Gated Comparator
No full textMeasured data for results presented in the paper: "A sub-nW/kHz Relaxation Oscillator with Ratioed Reference and sub-Clock Power Gated Comparator" to be published in Journal of Solid State Circuits (JSSC) authored by Anand Savanth, Alex S. Weddell, James Myers, David Flynn and Bashir M. Al-Hashimi</span
Discussing MoC: A Conversation with Snigdha Poonam and Anand Kumar
No full text<< As part of the MoC exhibition, this panel discussion with Snigdha Poonam and Anand Kumar discusses the role of politics in Indian campus spaces. This material is exhibited as part of the Memories of Change exhibition
sj-docx-1-pie-10.1177_09544089231171030 - Supplemental material for Synthesis, characterization and optimization of gasification products from Aegle Marmelos Correa shell in a downdraft gasifier using ANN and RSM
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089231171030 for Synthesis, characterization and optimization of gasification products from Aegle Marmelos Correa shell in a downdraft gasifier using ANN and RSM by Muthu Dinesh Kumar Ramaswamy, Vinoth Thangarasu, V M Jaganathan, M Angkayarkan Vinayakaselvi and Anand Ramanathan in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
sj-docx-1-pie-10.1177_09544089231160877 - Supplemental material for Heat and mass transfer on unsteady MHD convective flow through porous medium between two vertical plates with chemical reaction
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089231160877 for Heat and mass transfer on unsteady MHD convective flow through porous medium between two vertical plates with chemical reaction by S. Abhilash Anand Kumar, S Sreedhar and M Veera Krishna in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
Modular representation of the guideline text: An approach for maintaining and updating the content of medical education
No full textDeep learning innovations and their convergence with big data Advances in data mining and database management (ADMDM) book series./ S. Karthik, SNS College of Technology, Anna University, India ; Anand Paul, Kyungpook National University, South Korea ; N. Karthikeyan, Mizan-Tepi University, Ethiopia.
No full text"Premier reference source"--Cover.Includes bibliographical references and index."This book capture the state of the art trends and advancements in big data analytics, its technologies, and applications. The book also aims to identify potential research directions and technologies that will facilitate insight generation in various domains of science, industry, business, and consumer applications"--Advanced threat detection based on big data technologies / Madhvaraj M. Shetty, Manjaiah D.H. -- A brief review on deep learning and types of implementation for deep learning / Uthra Kunathur Thikshaja, Anand Paul -- Big spectrum data and deep learning techniques for cognitive wireless networks / Punam Dutta Choudhury, Ankumoni Bora, Kandarpa Kumar Sarma -- Efficiently processing big data in real-time employing deep learning algorithm / Murad Khan, Bhagya Nathali Silva, Kijun Han -- Digital investigation of cybercrimes based on big data analytics using deep learning / Ezz El-Din Hemdan, Manjaiah D. H. -- Classifying images of drought-affected area using deep belief network, kNN, and random forest learning techniques / Sanjiban Sekhar Roy, Pulkit Kulshrestha, Pijush Samui -- Big data deep analytics for geosocial networks / Muhammad Mazhar Ullah Rathore, Awais Ahmad, Anand Paul -- Data science: recent developments and future insights / Sabitha Rajagopal -- Data science and computational biology / Singaraju Jyothi, Bhargavi P-- After cloud: in hypothetical world / Shigeki Sugiyama -- Cloud-based big data analytics in smart educational system / Newlin Rajkumar Manokaran, Venkatesa Kumar Varathan, Shalinie Deepak.1 online resource (xxii, 265 pages)
Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation
No full textThe growth of data sharing initiatives for neuroimaging and genomics represents an exciting opportunity to confront the “small N” problem that plagues contemporary neuroimaging studies while further understanding the role genetic markers play in the function of the brain. When it is possible, open data sharing provides the most benefits. However, some data cannot be shared at all due to privacy concerns and/or risk of re-identification. Sharing other data sets is hampered by the proliferation of complex data use agreements (DUAs) which preclude truly automated data mining. These DUAs arise because of concerns about the privacy and confidentiality for subjects; though many do permit direct access to data, they often require a cumbersome approval process that can take months. An alternative approach is to only share data derivatives such as statistical summaries—the challenges here are to reformulate computational methods to quantify the privacy risks associated with sharing the results of those computations. For example, a derived map of gray matter is often as identifiable as a fingerprint. Thus alternative approaches to accessing data are needed. This paper reviews the relevant literature on differential privacy, a framework for measuring and tracking privacy loss in these settings, and demonstrates the feasibility of using this framework to calculate statistics on data distributed at many sites while still providing privacy.This document is protected by copyright and was first published by Frontiers. All rights reserved. It is reproduced with permission.Peer reviewe
Measuring Research Contributions of Prof. Anurag Kumar: A Scientometric Analysis
No full textThe present study aims to measure the contributions of Prof. Anurag Kumar, who served as the Director at the Indian Institute of Science (IISc) in Bengaluru between August 2014 to July 2020. He has contributed 181 publications during his 36 years of career. He has published his majority of publications 171 (94.48%) in collaboration; most active collaborators with Prof. Anurag Kumar are Altman E. with (17) publications, Kuri Joy (15), Anand (14), and Singh (12). His highest Collaboration Coefficient found is 0.73 in 2013, and the highest Modified Collaboration Coefficient is 1.33 in the year 2018. The highest degree of collaboration observed for Prof. Anurag Kumar was 1.00. The highest Collaborative Index of Prof. Anurag found is 4.75 in the year 2016. His publications received 2595 citations so far, with 14.3 citations for each publication and an average citation of 72.08 per year. He has produced most of his publications in the field of computer science (45.9%). He preferred conference papers as his communication channel, where he published 100 (55.24%) papers out of 181. Prof. Anurag Kumar has contributed the highest (62) publication between 2005-2010, and he has published his first publication at the age of 30
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