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Animesh Kumar
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2020 – today
- 2024
- [j10]Animesh Kumar, Sandip Dutta, Prashant Pranav
:
Analysis of SQL injection attacks in the cloud and in WEB applications. Secur. Priv. 7(3) (2024) - [c29]Xiaochen Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang:
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph. ACL (1) 2024: 5218-5234 - [c28]S. Ram Aditya, Shyamal Dhua, Animesh Kumar, Vimal Bastin Edwin Joseph, R. Rajavelsamy:
Deep Reinforcement Learning Based Bandwidth Part Assignment in 5G NR-U. CCNC 2024: 1010-1013 - [i19]Shikha Gupta, Animesh Kumar:
Sentiment-aware Enhancements of PageRank-based Citation Metric, Impact Factor, and H-index for Ranking the Authors of Scholarly Articles. CoRR abs/2403.08176 (2024) - [i18]Xiaochen Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang:
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph. CoRR abs/2404.14372 (2024) - [i17]Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang:
Data Contamination Can Cross Language Barriers. CoRR abs/2406.13236 (2024) - 2022
- [j9]Mohak Goyal
, Animesh Kumar
:
Signal Reconstruction From Quantized Noisy Samples of the Discrete Fourier Transform. IEEE Trans. Signal Process. 70: 2093-2104 (2022) - [i16]Mohak Goyal, Animesh Kumar:
Signal Reconstruction from Quantized Noisy Samples of the Discrete Fourier Transform. CoRR abs/2201.03114 (2022) - 2021
- [j8]Vijay Anavangot
, Animesh Kumar
:
Signal Source Distribution Approximation to Speedup Scalar Quantizer Design. IEEE Trans. Signal Process. 69: 6314-6328 (2021) - [c27]Dimple Kochar
, Animesh Kumar:
Estimation of Time to Failure Distribution in SRAM Due to Trapped Oxide Charges. ISCAS 2021: 1-5 - 2020
- [c26]Animesh Kumar
, Pramod Pathak
, Paul Stynes
:
A Transfer Learning Approach to Classify the Brain Age from MRI Images. BDA 2020: 103-112 - [c25]Vijay Anavangot
, Animesh Kumar:
Algorithms for Overpredictive Signal Analytics in Federated Learning. EUSIPCO 2020: 1502-1506
2010 – 2019
- 2019
- [c24]Vijay Anavangot
, Animesh Kumar:
A Novel Approximate Lloyd-max Quantizer and Its Analysis. ICASSP 2019: 5107-5111 - [c23]Shruti Sawant, Indrani Mukherjee, Siddharth G. Tallur
, Animesh Kumar:
Feasibility assessment of location-unaware sensing for estimation of non-bandlimited measurements. IEEE SENSORS 2019: 1-4 - [c22]Meera Pai, Animesh Kumar:
Distribution Learning of a Random Spatial Field with a Location-Unaware Mobile Sensor. NeurIPS 2019: 12458-12466 - 2018
- [c21]Mohak Goyal, Animesh Kumar:
Estimation of Bandlimited Signals on Graphs From Single Bit Recordings of Noisy Samples. EUSIPCO 2018: 902-906 - [c20]Sudeep Salgia, Animesh Kumar:
Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors. ICASSP 2018: 4574-4578 - [i15]Vijay Anavangot, Animesh Kumar:
On Distributed Nonlinear Signal Analytics : Bandwidth and Approximation Error Tradeoffs. CoRR abs/1805.08521 (2018) - [i14]Vijay Anavangot, Animesh Kumar:
Novel Near-Optimal Scalar Quantizers with Exponential Decay Rate and Global Convergence. CoRR abs/1810.12189 (2018) - 2017
- [j7]Animesh Kumar
:
On Bandlimited Field Estimation from Samples Recorded by a Location-Unaware Mobile Sensor. IEEE Trans. Inf. Theory 63(4): 2188-2200 (2017) - [i13]Animesh Kumar:
Optimal Envelope Approximation in Fourier Basis with Applications in TV White Space. CoRR abs/1706.00900 (2017) - [i12]Sudeep Salgia, Animesh Kumar:
Spatial Field estimation from Samples taken at Unknown Locations generated by an Unknown Autoregressive Process. CoRR abs/1710.09451 (2017) - [i11]Sudeep Salgia, Animesh Kumar:
On Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors. CoRR abs/1710.09454 (2017) - [i10]Charvi Rastogi, Animesh Kumar:
Mobile Sensing of Two-Dimensional Bandlimited Fields on Random Paths. CoRR abs/1711.04114 (2017) - 2016
- [j6]Animesh Kumar, Abhay Karandikar, Gaurang Naik
, Meghna Khaturia, Shubham Saha, Mahak Arora, Jaspreet Singh:
Toward enabling broadband for a billion plus population with TV white spaces. IEEE Commun. Mag. 54(7): 28-34 (2016) - [j5]Arti D. Yardi
, Saravanan Vijayakumaran
, Animesh Kumar:
Blind Reconstruction of Binary Cyclic Codes From Unsynchronized Bitstream. IEEE Trans. Commun. 64(7): 2693-2706 (2016) - [c19]Garima Maheshwari, Animesh Kumar:
Optimal quantization of TV white space regions for a broadcast based geolocation database. EUSIPCO 2016: 418-422 - [c18]Ajinkya Jayawant, Animesh Kumar:
High rate quantization analysis for a class of finite rate of innovation signals. EUSIPCO 2016: 423-427 - [c17]Ankur Mallick, Animesh Kumar:
Bandlimited field reconstruction from samples obtained on a discrete grid with unknown random locations. ICASSP 2016: 4014-4018 - [c16]Animesh Kumar:
Bandlimited field estimation from samples recorded by a location-unaware mobile sensor. ISIT 2016: 1257-1261 - [i9]Animesh Kumar, Abhay Karandikar, Gaurang Naik, Meghna Khaturia, Shubham Saha, Mahak Arora, Jaspreet Singh:
Towards Enabling Broadband for a Billon Plus Population with TV White Spaces. CoRR abs/1603.01999 (2016) - [i8]Abhinav Kumar, Animesh Kumar:
Estimation of Bandlimited Grayscale Images From the Single Bit Observations of Pixels Affected by Additive Gaussian Noise. CoRR abs/1610.08627 (2016) - [i7]Ankur Mallick, Animesh Kumar:
Bandlimited Field Reconstruction from Samples Obtained at Unknown Random Locations on a Grid. CoRR abs/1611.10211 (2016) - 2015
- [j4]Animesh Kumar:
On Bandlimited Signal Reconstruction From the Distribution of Unknown Sampling Locations. IEEE Trans. Signal Process. 63(5): 1259-1267 (2015) - [j3]Prateek R. Kapadia, Om P. Damani, Animesh Kumar:
Interference-constrained coverage algorithms in the protocol and SINR models. Wirel. Networks 21(4): 1391-1409 (2015) - [c15]Karthik Sharma, Animesh Kumar:
Sampling smooth spatio-temporal physical fields: When will the aliasing error increase with time? ICASSP 2015: 3636-3640 - [c14]Soumik Ghosh, Gaurang Naik
, Animesh Kumar, Abhay Karandikar:
OpenPAWS: An open source PAWS and UHF TV White Space database implementation for India. NCC 2015: 1-6 - [c13]Animesh Kumar, Rajeev Kumar, Punit Rathod, Abhay Karandikar:
How much TV UHF band spectrum is sufficient for rural broadband coverage? WiOpt 2015: 419-426 - [i6]Garima Maheshwari, Animesh Kumar:
Optimal Quantization of TV White Space Regions for a Broadcast Based Geolocation Database. CoRR abs/1505.02135 (2015) - [i5]Animesh Kumar:
Bandlimited Spatial Field Sampling with Mobile Sensors in the Absence of Location Information. CoRR abs/1509.03966 (2015) - 2014
- [c12]Arti D. Yardi
, Animesh Kumar, Saravanan Vijayakumaran
:
Channel-code detection by a third-party receiver via the likelihood ratio test. ISIT 2014: 1051-1055 - [c11]Gaurang Naik
, Sudesh Singhal, Animesh Kumar, Abhay Karandikar:
Quantitative assessment of TV white space in India. NCC 2014: 1-6 - 2013
- [c10]Animesh Kumar, Vinod M. Prabhakaran:
Estimation of bandlimited signals from the signs of noisy samples. ICASSP 2013: 5815-5819 - [i4]Animesh Kumar:
Bandlimited Signal Reconstruction From the Distribution of Unknown Sampling Locations. CoRR abs/1303.1285 (2013) - [i3]Gaurang Naik, Sudesh Singhal, Animesh Kumar, Abhay Karandikar:
Quantitative Assessment of TV White Space in India. CoRR abs/1310.8540 (2013) - 2012
- [c9]Amrut Kolhapure, Animesh Kumar:
SRAM in hold-operation: Modeling the interaction of soft-errors and switching power-supply noise. ISCAS 2012: 2473-2476 - [i2]B. Santhana Krishnan, Animesh Kumar, D. Manjunath, Bikash Kumar Dey:
On the Separability of Targets Using Binary Proximity Sensors. CoRR abs/1211.4441 (2012) - [i1]Animesh Kumar, Vinod M. Prabhakaran:
Estimation of Bandlimited Signals in Additive Gaussian Noise: a "Precision Indifference" Principle. CoRR abs/1211.6598 (2012) - 2011
- [j2]Animesh Kumar, Prakash Ishwar
, Kannan Ramchandran:
High-Resolution Distributed Sampling of Bandlimited Fields With Low-Precision Sensors. IEEE Trans. Inf. Theory 57(1): 476-492 (2011) - 2010
- [j1]Animesh Kumar, Prakash Ishwar
, Kannan Ramchandran:
Dithered A/D conversion of smooth non-bandlimited signals. IEEE Trans. Signal Process. 58(5): 2654-2666 (2010)
2000 – 2009
- 2009
- [c8]Animesh Kumar, Jan M. Rabaey, Kannan Ramchandran:
SRAM supply voltage scaling: A reliability perspective. ISQED 2009: 782-787 - 2008
- [c7]Huifang Qin, Animesh Kumar, Kannan Ramchandran, Jan M. Rabaey, Prakash Ishwar
:
Error-Tolerant SRAM Design for Ultra-Low Power Standby Operation. ISQED 2008: 30-34 - [c6]Animesh Kumar, Huifang Qin, Prakash Ishwar
, Jan M. Rabaey, Kannan Ramchandran:
Fundamental Data Retention Limits in SRAM Standby Experimental Results. ISQED 2008: 92-97 - 2007
- [c5]Animesh Kumar, Huifang Qin, Prakash Ishwar
, Jan M. Rabaey, Kannan Ramchandran:
Fundamental Redundancy Versus Power Trade-Off in Standby SRAM. ICASSP (2) 2007: 85-88 - [c4]Animesh Kumar, Huifang Qin, Prakash Ishwar, Jan M. Rabaey, Kannan Ramchandran:
Fundamental Bounds on Power Reduction during Data-Retention in Standby SRAM. ISCAS 2007: 1867-1870 - 2004
- [c3]Animesh Kumar, Prakash Ishwar, Kannan Ramchandran:
On distributed sampling of bandlimited and non-bandlimited sensor fields. ICASSP (3) 2004: 925-928 - [c2]Animesh Kumar, Prakash Ishwar, Kannan Ramchandran:
On distributed sampling of smooth non-bandlimited fields. IPSN 2004: 89-98 - 2003
- [c1]Prakash Ishwar, Animesh Kumar, Kannan Ramchandran:
Distributed Sampling for Dense Sensor Networks: A "Bit-Conservation Principle". IPSN 2003: 17-31
Coauthor Index
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last updated on 2024-08-21 21:32 CEST by the dblp team
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