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2020 – today
- 2024
[j13]Sanjay Kumar Singh
, Amit Sinha, Harikesh Singh, Aniket Mahanti, Abhishek Patel, Shubham Mahajan, Amit Kant Pandit, Varadarajan Vijayakumar:
A novel deep learning-based technique for detecting prostate cancer in MRI images. Multim. Tools Appl. 83(5): 14173-14187 (2024)- [j12]Sachi Pandey, Ritin Behl, Amit Sinha:
Decentralized blockchain-based security enhancement with lamport merkle digital signature generation and optimized encryption in cloud environment. Multim. Tools Appl. 83(16): 47269-47293 (2024) - [j11]Harikesh Singh, Amit Sinha:
A Blockchain Framework for E-Voting. Multim. Tools Appl. 83(20): 58875-58889 (2024) - [j10]Ashwin Perti, Amit Sinha, Ankit Vidyarthi:
Cognitive Hybrid Deep Learning-based Multi-modal Sentiment Analysis for Online Product Reviews. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(8): 113:1-113:14 (2024) - [i6]Amit Sinha, Mathieu Geist, Aditya Mahajan:
Periodic agent-state based Q-learning for POMDPs. CoRR abs/2407.06121 (2024) - [i5]Amit Sinha, Aditya Mahajan:
Agent-state based policies in POMDPs: Beyond belief-state MDPs. CoRR abs/2409.15703 (2024) - 2023
- [j9]Jayakumar Subramanian, Amit Sinha, Aditya Mahajan:
Robustness and Sample Complexity of Model-Based MARL for General-Sum Markov Games. Dyn. Games Appl. 13(1): 56-88 (2023) - [c24]Amit Sinha, Aditya Mahajan:
Asymmetric Actor-Critic with Approximate Information State. CDC 2023: 7810-7816 - [c23]Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar:
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning. CoLLAs 2023: 376-398 - [c22]Jitendra Kumar Chauhan, Tanveer Ahmed, Amit Sinha:
Comparative Analysis of CNN Pre-trained Model for Stock Market Trend Prediction. RTIP2R (1) 2023: 110-129 - [i4]Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar:
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning. CoRR abs/2302.02792 (2023) - [i3]Erfan Seyedsalehi, Nima Akbarzadeh, Amit Sinha, Aditya Mahajan:
Approximate information state based convergence analysis of recurrent Q-learning. CoRR abs/2306.05991 (2023) - 2022
- [j8]Jayakumar Subramanian, Amit Sinha, Raihan Seraj, Aditya Mahajan:
Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems. J. Mach. Learn. Res. 23: 12:1-12:83 (2022) - [c21]Ritin Behl, Abhilasha Singh, Amit Sinha:
A Study on Cloud-based data integrity of outsourced data using Blockchain. IC3I 2022: 1193-1198 - 2021
- [i2]Jayakumar Subramanian, Amit Sinha, Aditya Mahajan:
Robustness and sample complexity of model-based MARL for general-sum Markov games. CoRR abs/2110.02355 (2021) - 2020
- [i1]Jayakumar Subramanian, Amit Sinha, Raihan Seraj, Aditya Mahajan:
Approximate information state for approximate planning and reinforcement learning in partially observed systems. CoRR abs/2010.08843 (2020)
2010 – 2019
- 2014
- [c20]Jacqueline Woods, Sridhar Iyengar, Amit Sinha, Subhasish Mitra, Stacy Cannady:
A new era of computing: Are you "ready now" to build a smarter and secured enterprise? ISQED 2014: 1 - [c19]Maneesh Kumar Pandey, Shwetank Shekhar, Amit Sinha, Arun Mishra:
An FPGA Based Ecosystem for USBPHY Validation. MTV 2014: 44-48 - [c18]Edward Boehnlein, Peter Chin, Amit Sinha, Linyuan Lu:
Computing Diffusion State Distance Using Green's Function and Heat Kernel on Graphs. WAW 2014: 79-95 - 2010
- [c17]Amit Sinha:
Identifying Transcriptional Modules using Subspace Clustering. ISAIM 2010
2000 – 2009
- 2006
- [j7]Dijiang Huang, Qing Cao, Amit Sinha, Marc J. Schniederjans, Cory C. Beard, Lein Harn, Deep Medhi:
New architecture for intra-domain network security issues. Commun. ACM 49(11): 64-72 (2006) - [c16]Dijiang Huang, Amit Sinha, Deep Medhi:
On providing confidentiality in link state routing protocol. CCNC 2006: 671-675 - [c15]Amit Sinha, Issam Haddad, Todd Nightingale, Richard Rushing, David Thomas:
Wireless intrusion protection system using distributed collaborative intelligence. IPCCC 2006 - 2005
- [j6]Amit Sinha, Kenneth Mitchell, Deep Medhi:
Network game traffic: A broadband access perspective. Comput. Networks 49(1): 71-83 (2005) - [c14]Dijiang Huang, Amit Sinha, Deep Medhi:
A key distribution scheme for double authentication in link state routing protocol. IPCCC 2005: 19-24 - 2004
- [p1]Anantha P. Chandrakasan, Amit Sinha:
Dynamic Power Management in Sensor Networks. Handbook of Sensor Networks 2004 - 2003
- [j5]Amit Sinha, Nathan Ickes, Anantha P. Chandrakasan:
Instruction level and operating system profiling for energy exposed software. IEEE Trans. Very Large Scale Integr. Syst. 11(6): 1044-1057 (2003) - [c13]Dijiang Huang, Amit Sinha, Deep Medhi:
A double authentication scheme to detect impersonation attack in link state routing protocols. ICC 2003: 1723-1727 - 2002
- [j4]Amit Sinha, Alice Wang, Anantha P. Chandrakasan:
Energy scalable system design. IEEE Trans. Very Large Scale Integr. Syst. 10(2): 135-145 (2002) - [j3]Rex Min, Manish Bhardwaj, Seong-Hwan Cho, Nathan Ickes, Eugene Shih, Amit Sinha, Alice Wang, Anantha P. Chandrakasan:
Energy-centric enabling tecumologies for wireless sensor networks. IEEE Wirel. Commun. 9(4): 28-39 (2002) - [c12]Wenjie Jiang, Vivek Tiwari, Erik de la Iglesia, Amit Sinha:
Topological Analysis for Leakage Prediction of Digital Circuits. ASP-DAC/VLSI Design 2002: 39-44 - 2001
- [b1]Amit Sinha:
Energy efficient operating systems and software. Massachusetts Institute of Technology, Cambridge, MA, USA, 2001 - [j2]Amit Sinha, Anantha P. Chandrakasan:
Dynamic Power Management in Wireless Sensor Networks. IEEE Des. Test Comput. 18(2): 62-74 (2001) - [j1]Alice Wang, Wendi B. Heinzelman, Amit Sinha, Anantha P. Chandrakasan:
Energy-Scalable Protocols for Battery-Operated MicroSensor Networks. J. VLSI Signal Process. 29(3): 223-237 (2001) - [c11]Amit Sinha, Anantha P. Chandrakasan:
JouleTrack - A Web Based Tool for Software Energy Profiling. DAC 2001: 220-225 - [c10]Amit Sinha, Anantha P. Chandrakasan:
Energy Efficient Real-Time Scheduling. ICCAD 2001: 458-470 - [c9]Amit Sinha, Anantha P. Chandrakasan:
Operating System and Algorithmic Techniques for Energy Scalable Wireless Sensor Networks. Mobile Data Management 2001: 199-209 - [c8]Eugene Shih, Seong-Hwan Cho, Nathan Ickes, Rex Min, Amit Sinha, Alice Wang, Anantha P. Chandrakasan:
Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks. MobiCom 2001: 272-287 - [c7]Rex Min, Manish Bhardwaj, Seong-Hwan Cho, Eugene Shih, Amit Sinha, Alice Wang, Anantha P. Chandrakasan:
Low-Power Wireless Sensor Networks. VLSI Design 2001: 205-210 - [c6]Amit Sinha, Anantha P. Chandrakasan:
Dynamic Voltage Scheduling Using Adaptive Filtering of Workload Traces. VLSI Design 2001: 221-226 - 2000
- [c5]Wendi Rabiner Heinzelman, Amit Sinha, Alice Wang, Anantha P. Chandrakasan:
Energy-scalable algorithms and protocols for wireless microsensor networks. ICASSP 2000: 3722-3725 - [c4]Amit Sinha, Alice Wang, Anantha P. Chandrakasan:
Algorithmic transforms for efficient energy scalable computation. ISLPED 2000: 31-36 - [c3]Amit Sinha, Anantha P. Chandrakasan:
Energy Aware Software. VLSI Design 2000: 50-
1990 – 1999
- 1998
- [c2]Mahesh Mehendale, Amit Sinha, Sunil D. Sherlekar:
Low Power Realization of FIR Filters Implemented using Distributed Arithmetic. ASP-DAC 1998: 151-156 - [c1]Amit Sinha, Mahesh Mehendale:
mproving Area Efficiency of FIR Filters Implemented Using Distributed Arithmetic. VLSI Design 1998: 104-109
Coauthor Index
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