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60,401 results on '"Sekhar, A"'

101. A Comparative Analysis of Digital Image Forgery Detection Methods

Author

Prashanth, Mallellu Sai, Karnati, Ramesh, Velpuru, Muni Sekhar, Venkateshwara Reddy, H., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, 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, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, 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, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Kumar, Amit, editor, Gunjan, Vinit Kumar, editor, Senatore, Sabrina, editor, and Hu, Yu-Chen, editor

Published
2025
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102. Enhancing Road Safety of Intercity Public Transport Along Key Corridors Through Driver Monitoring System and Alert Analysis

Author

Vandana, Bairam, Ramesh, Adepu, Sekhar, Ch. Ravi, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, Ravi Shankar, K. V. R., editor, Prasad, C. S. R. K., editor, Mallikarjuna, C., editor, and Suresha, S. N., editor

Published
2025
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103. Artificial Neural Networks for Traffic Speed Management: A Comparative Study of ANPR and TIRTL Systems for Identifying Over-Speeding Vehicles

Author

Kumar, Boddu Sudhir, Kumar, Kontham Pavan, Sekhar, Ratti Chandra, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, Ravi Shankar, K. V. R., editor, Prasad, C. S. R. K., editor, Mallikarjuna, C., editor, and Suresha, S. N., editor

Published
2025
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149. Thickness dependent mechanical properties of soft ferromagnetic two-dimensional CoTe2

Author

Slathia, Surbhi, Wei, Cencen, Tripathi, Manoj, Tromer, Raphael, Negedu, Solomon Demiss, Boland, Conor, Sarkar, Suman, Galvao, Douglas S., Dalton, Alan, and Tiwary, Chandra Sekhar

Subjects
Condensed Matter - Materials Science
Abstract

Two dimensional (2D) layered transition-metal-based tellurides (chalcogens) are known to harness their surface atoms characteristics to enhance topographical activities for energy conversion, storage, and magnetic applications. High surface energy due to unsaturated dangling bonds and larger lateral size than the thickness (volume) makes them a potential candidate for emerging electronics. Nevertheless, the gradual stacking of each sheet alters the surface atoms' subtle features, such as lattice expansion, leading to several phenomena and rendering tunable properties. In the present work, we have monitored thickness-dependent properties of the 2D CoTe2 sheets from nanoscale mechanics, tribology, surface potential distributions, interfacial interaction and magnetism using atomically resolved spectroscopy and different surface probe techniques, in conjunction with theoretical investigations: density functional theory (DFT) and molecular dynamics (MD). The variation in properties observed in theoretical investigation unleashes the crucial role of crystal planes of the CoTe2. The presented results are beneficial in expanding the use of 2D telluride family in flexible electronics, piezo sensors, tribo-generator, and next-generation memory devices.

Published
2023

150. Memory-efficient Stochastic methods for Memory-based Transformers

Author

Vishnu, Vishwajit Kumar and Sekhar, C. Chandra

Subjects
Computer Science - Machine Learning, Computer Science - Computation and Language
Abstract

Training Memory-based transformers can require a large amount of memory and can be quite inefficient. We propose a novel two-phase training mechanism and a novel regularization technique to improve the training efficiency of memory-based transformers, which are often used for long-range context problems. For our experiments, we consider transformer-XL as our baseline model which is one of memorybased transformer models. We show that our resultant model, Skip Cross-head TransformerXL, outperforms the baseline on character level language modeling task with similar parameters and outperforms the baseline on word level language modelling task with almost 20% fewer parameters. Our proposed methods do not require any additional memory. We also demonstrate the effectiveness of our regularization mechanism on BERT which shows similar performance with reduction in standard deviation of scores of around 30% on multiple GLUE tasks.

Published
2023

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