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Publication search results
found 35 matches
- 2024
- Achyut Shankar, Perumal Pandiaraja, Murali Subramanian, Naresh Ramu, Deepa Natesan, Vaishali R. Kulkarni, Thompson Stephan:
An intelligent recommendation system in e-commerce using ensemble learning. Multim. Tools Appl. 83(16): 48521-48537 (2024) - Sharath M. Shankaranarayana, Anubhab Samal, Chikka Veera Raghavendra, Vijay Sankar, Arindam Dey, Sangam Kumar Singh:
A Hybrid Sampling Methodology Based Cost Effective Active Learning for Tabular Data. COMSNETS 2024: 147-152 - 2023
- Subhashish Mukherjee, Yogesh Darwhekar, Jayawardan Janardhanan, Peeyoosh Mirajkar, Raghavendra Reddy, Harish Ramesh, Bichoy Bahr, Jagdish Chand, Uday Meda, Baher Haroun, Shankar Karantha, Ernest Ting-Ta Yen, Keegan Martin, Daniel Gan, Amin Sijelmassi, Sankaran Aniruddhan:
A 0.5-to-400MHz Programmable BAW Oscillator with Fractional Output Divider Achieving 4ppm Frequency Stability over Temperature and <95fs Jitter. ISSCC 2023: 70-71 - 2021
- Shweta Mongia, Sugandha Sharma, Jaisankar Natarajan, Manoj Kumar, Vasudha Arora, Thompson Stephan, Achyut Shankar, Pragya Gupta, Raghav Kachhawaha:
Prediction of COVID-19 epidemic curve of India using supervised learning approach. Int. J. Comput. Appl. Technol. 66(3/4): 433-441 (2021) - 2020
- Roshan L. Kini, Shankar Dhakal, Sadab Mahmud, Andrew J. Sellers, Michael R. Hontz, Cheikh A. Tine, Raghav Khanna:
An Investigation of Frequency Dependent Reliability and Failure Mechanism of pGaN Gated GaN HEMTs. IEEE Access 8: 137312-137321 (2020) - Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam:
A Context Based Deep Learning Approach for Unbalanced Medical Image Segmentation. ISBI 2020: 1949-1953 - Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam:
A context based deep learning approach for unbalanced medical image segmentation. CoRR abs/2001.02387 (2020) - 2019
- Sayak Dutta Gupta, Vipin Joshi, Bhawani Shankar, Swati Shikha, Srinivasan Raghavan, Mayank Shrivastava:
UV-Assisted Probing of Deep-Level Interface Traps in GaN MISHEMTs and Their Role in Threshold Voltage & Gate Leakage Instabilities. IRPS 2019: 1-5 - Rahul Pathak, Raghavendra Kongari, Shankar Joshi:
Low Power Design Technique in Passive Tag to Reduce the EMD Noise for Reliable Communication with Reader. VLSID 2019: 454-458 - 2018
- Erin Richie, Thomas Offer-Westort, Raghavendran Shankar, Myounghoon Jeon:
Auditory Displays for Take-Over in Semi-automated Vehicles. HCI (17) 2018: 623-634 - Bhawani Shankar, Ankit Soni, Sayak Dutta Gupta, R. Sengupta, Heena Khand, N. Mohan, Srinivasan Raghavan, Mayank Shrivastava:
On the trap assisted stress induced safe operating area limits of AlGaN/GaN HEMTs. IRPS 2018: 4 - Raghav Shankar, Benjamin Kobin, Saurabh Bagchi, Michael Kistler, Jan S. Rellermeyer:
MAVIS: Managing Datacenters using Smartphones. CoRR abs/1802.06270 (2018) - 2017
- Bhawani Shankar, Ankit Soni, Manikant Singh, Rohith Soman, K. N. Bhat, Srinivasan Raghavan, Navakanta Bhat, Mayank Shrivastava:
ESD Behavior of AlGaN/GaN HEMT on Si: Physical Insights, Design Aspects, Cumulative Degradation and Failure Analysis. VLSID 2017: 361-365 - 2012
- Raghav Yadav, Rama Shankar Yadav, Hari Mohan Singh:
Intercycle switching (ICS)-based dynamic reconfiguration of p-cycle for dual-failure survivability of WDM networks. Photonic Netw. Commun. 24(2): 160-165 (2012) - 2011
- Rama Raghavan, H. Ramesh, Marian Gheorghe, Shankara Narayanan Krishna:
On Restricted Bio-Turing Machines. Fundam. Informaticae 110(1-4): 309-320 (2011) - Divya Shankar, Manish Agrawal, H. Raghav Rao:
Emergency Response to Mumbai Terror Attacks: An Activity Theory Analysis. Cyber Security, Cyber Crime and Cyber Forensics 2011: 46-58 - Raghavan Rama, H. Ramesh, Marian Gheorghe, Shankara Narayanan Krishna:
Further Results on Languages of Membrane Structures. CoRR abs/1108.3431 (2011) - 2010
- Raghav Yadav, Rama Shankar Yadav, Hari Mohan Singh:
Enhanced Intercycle Switching in p-Cycle Survivability for WDM Networks. JOCN 2(11): 961-966 (2010) - 2009
- Raghav Yadav, Rama Shankar Yadav, Hari Mohan Singh:
Quality Enhancement in p-Cycles Using Optimized Restoration Path (ORP) Algorithm. ARTCom 2009: 549-553 - 2008
- George Eadon, Eugene Inseok Chong, Shrikanth Shankar, Ananth Raghavan, Jagannathan Srinivasan, Souripriya Das:
Supporting table partitioning by reference in oracle. SIGMOD Conference 2008: 1111-1122 - 2007
- Shankara Narayanan Krishna, Raghavan Rama:
Towards Reducing Parallelism in P Systems. Formal Models, Languages and Applications 2007: 213-225 - 2006
- H. Ramesh, Shankara Narayanan Krishna, Raghavan Rama:
On the Power of Bio-Turing Machines. UC 2006: 243-253 - 2005
- Shankara Narayanan Krishna, Raghavan Rama, H. Ramesh:
Further Results on Contextual and Rewriting P Systems. Fundam. Informaticae 64(1-4): 241-253 (2005) - 2003
- Shankara Narayanan Krishna, Lakshmanan Kuppusamy, Raghavan Rama:
On Some Classes of Contextual Grammars. Int. J. Comput. Math. 80(2): 151-164 (2003) - Shankara Narayanan Krishna, Raghavan Rama:
Breaking DES using P systems. Theor. Comput. Sci. 299(1-3): 495-508 (2003) - 2002
- Shankara Narayanan Krishna, Lakshmanan Kuppusamy, Raghavan Rama:
On the Power of P Systems with Contextual Rules. Fundam. Informaticae 49(1-3): 167-178 (2002) - Shankara Narayanan Krishna, Raghavan Rama:
On The Power of Tissue P Systems Working in the Minimal Mode. UMC 2002: 208-219 - Shankara Narayanan Krishna, Lakshmanan Kuppusamy, Raghavan Rama:
Tissue P Systems with Contextual and Rewriting Rules. WMC-CdeA 2002: 339-351 - 2001
- Shankara Narayanan Krishna, Raghavan Rama, Kamala Krithivasan:
P Systems with Picture Objects. Acta Cybern. 15(1): 53-74 (2001) - Shankara Narayanan Krishna, Raghavan Rama:
A Note on Parallel Rewriting in P Systems. Bull. EATCS 73: 147-151 (2001)
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