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ORCIDSahil Sharma
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j16]Vijay Kumar
, Sahil Sharma:
Steganography-based facial re-enactment using generative adversarial networks. Multim. Tools Appl. 83(3): 7609-7630 (2024)- [c16]Sahil Sharma, Shivdeep, Nidhi Sharma, Devarshi Mrinal Das:
A 0.006 mm2 Low Input Capacitance Low Power Fully Differential Neural Amplifier. MIXDES 2024: 50-54 - [c15]Azhar Yaseen N. J, Shivdeep, Sahil Sharma, Hitesh Shrimali, Devarshi Mrinal Das:
A 66dBΩ 5 GHz and 44.88 √Hz/(pA·pW) Inductorless TIA in 65 nm CMOS. MIXDES 2024: 55-60 - [c14]Nidhi Sharma, Sahil Sharma, Devarshi Mrinal Das:
A 66 $\mu \mathrm{W}$ Asynchronous Time-Domain Bulk-Tuned Offset Cancellation Circuit for High-Precision Dynamic Comparator. MIXDES 2024: 61-67 - [d3]Satya Narayana, Sahil Sharma:
Spring Jira Bug Dataset. IEEE DataPort, 2024
- [d2]Sahil Sharma, Ashima Sood, Vijay Kumar:
Deepfake Synthetic-20K Dataset. IEEE DataPort, 2024 - [d1]Sahil Sharma, Ashima Sood, Vijay Kumar:
Colour-Rendered Bosphorus Projections Database. IEEE DataPort, 2024 - 2023
- [j15]Vijay Kumar, Sahil Sharma, Chandan Kumar, Aditya Kumar Sahu:
Latest Trends in Deep Learning Techniques for Image Steganography. Int. J. Digit. Crime Forensics 15(1): 1-14 (2023) - [j14]Sahil Sharma, Vijay Kumar:
Distracted driver detection using learning representations. Multim. Tools Appl. 82(15): 22777-22794 (2023) - [j13]Renju Aleyamma Zachariah, Sahil Sharma, Vijay Kumar:
Systematic review of passenger demand forecasting in aviation industry. Multim. Tools Appl. 82(30): 46483-46519 (2023) - [j12]Sahil Sharma, Snigdha Soni, Shalini Kaushik, Mani Kalaivani, Vatsla Dadhwal, K. Aparna Sharma, Deepak Sharma:
SwasthGarbh: A Smartphone App for Improving the Quality of Antenatal Care and Ameliorating Maternal-Fetal Health. IEEE J. Biomed. Health Informatics 27(6): 2729-2738 (2023) - [c13]Anjali Agarwal, Sahil Sharma:
LLANIME: Large Language Models for Anime Recommendations. DeSE 2023: 870-875 - [i12]Sahil Sharma:
The NTT and residues of a polynomial modulo factors of X2d + 1. IACR Cryptol. ePrint Arch. 2023: 1812 (2023) - 2022
- [j11]Sahil Sharma, Vijay Kumar Bhat:
Fault-tolerant metric dimension of zero-divisor graphs of commutative rings. AKCE Int. J. Graphs Comb. 19(1): 24-30 (2022) - [j10]Sahil Sharma, Vijay Kumar Bhat:
Vertex resolvability of convex polytopes with n-paths of length p. Int. J. Comput. Math. Comput. Syst. Theory 7(2): 129-138 (2022) - [c12]Bagesh Kumar, Aadharsh Roshan, Ayush Baranwal, Sankalp Rajendran, Sahil Sharma, Amritansh Mishra, O. P. Vyas:
Optimized Forex Trading using Ensemble of Deep Q-Learning Agents. IC3 2022: 417-428 - 2021
- [j9]Avani Agarwal, Sahil Sharma, Vijay Kumar, Manjit Kaur:
Effect of E-learning on public health and environment during COVID-19 lockdown. Big Data Min. Anal. 4(2): 104-115 (2021) - [j8]Gundeep Singh, Sahil Sharma, Vijay Kumar, Manjit Kaur, Mohammed Baz, Mehedi Masud:
Spoken Language Identification Using Deep Learning. Comput. Intell. Neurosci. 2021: 5123671:1-5123671:12 (2021) - [j7]Sahil Sharma, Vijay Kumar:
3D landmark-based face restoration for recognition using variational autoencoder and triplet loss. IET Biom. 10(1): 87-98 (2021) - [j6]Sahil Sharma, Vijay Kumar:
Performance Evaluation of Machine Learning Based Face Recognition Techniques. Wirel. Pers. Commun. 118(4): 3403-3433 (2021) - [c11]Adam Viola, Sahil Sharma, Pankaj Bishnoi, Matheus Gadelha, Stefano Petrangeli, Haoliang Wang, Viswanathan Swaminathan:
Trace Match & Merge: Long-Term Field-Of-View Prediction for AR Applications. AIVR 2021: 1-9 - [c10]Sahil Sharma, Zhiling Lan, Xingfu Wu, Valerie Taylor:
A Dynamic Power Capping Library for HPC Applications. CLUSTER 2021: 797-798 - [i11]Arjit Sharma, Sahil Sharma:
WAD: A Deep Reinforcement Learning Agent for Urban Autonomous Driving. CoRR abs/2108.12134 (2021) - [i10]Saurabh Kamal, Sahil Sharma:
A Comprehensive Review on Summarizing Financial News Using Deep Learning. CoRR abs/2109.10118 (2021) - 2020
- [j5]Sahil Sharma, Vijay Kumar:
Low-level features based 2D face recognition using machine learning. Int. J. Intell. Eng. Informatics 8(4): 305-330 (2020) - [j4]Sahil Sharma, Vijay Kumar:
Voxel-based 3D face reconstruction and its application to face recognition using sequential deep learning. Multim. Tools Appl. 79(25-26): 17303-17330 (2020) - [j3]Sahil Sharma, Vijay Kumar:
Voxel-based 3D occlusion-invariant face recognition using game theory and simulated annealing. Multim. Tools Appl. 79(35-36): 26517-26547 (2020)
2010 – 2019
- 2019
- [j2]Mohsen Imani, Saransh Gupta, Sahil Sharma, Tajana Simunic Rosing:
NVQuery: Efficient Query Processing in Nonvolatile Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(4): 628-639 (2019) - [j1]Pranav Kumar Singh, Sahil Sharma, Sunit Kumar Nandi, Sukumar Nandi:
Multipath TCP for V2I communication in SDN controlled small cell deployment of smart city. Veh. Commun. 15: 1-15 (2019) - 2018
- [c9]Sahil Sharma, Ashutosh Kumar Jha, Parikshit Hegde, Balaraman Ravindran:
Learning to Multi-Task by Active Sampling. ICLR (Poster) 2018 - [c8]Pranav Kumar Singh, Sahil Sharma, Sunit Kumar Nandi, Roshan Singh, Sukumar Nandi:
Leader Election in Cooperative Adaptive Cruise Control Based Platooning. C3VP@MOBICOM 2018: 8-14 - [i9]Suraj Kothawade, Kunjan Mhaske, Sahil Sharma, Furkhan Shaikh:
Content Based Image Retrieval from AWiFS Images Repository of IRS Resourcesat-2 Satellite Based on Water Bodies and Burnt Areas. CoRR abs/1809.10190 (2018) - 2017
- [c7]Aravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran:
Dynamic Action Repetition for Deep Reinforcement Learning. AAAI 2017: 2133-2139 - [c6]Sahil Sharma, Aravind S. Lakshminarayanan, Balaraman Ravindran:
Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning. ICLR (Poster) 2017 - [c5]Sahil Sharma, Balaraman Ravindran:
Online Multi-Task Learning Using Active Sampling. ICLR (Workshop) 2017 - [i8]Sahil Sharma, Balaraman Ravindran:
Online Multi-Task Learning Using Active Sampling. CoRR abs/1702.06053 (2017) - [i7]Sahil Sharma, Aravind S. Lakshminarayanan, Balaraman Ravindran:
Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning. CoRR abs/1702.06054 (2017) - [i6]Sahil Sharma, Aravind Suresh, Rahul Ramesh, Balaraman Ravindran:
Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning. CoRR abs/1705.07269 (2017) - [i5]Sahil Sharma, Girish Raguvir J, Srivatsan Ramesh, Balaraman Ravindran:
Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning. CoRR abs/1705.07445 (2017) - 2016
- [i4]Aravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran:
Dynamic Frame skip Deep Q Network. CoRR abs/1605.05365 (2016) - [i3]Sahil Sharma, Vinod Sharma, Atul Sharma:
Performance Based Evaluation of Various Machine Learning Classification Techniques for Chronic Kidney Disease Diagnosis. CoRR abs/1606.09581 (2016) - 2015
- [c4]Oscar García Morchon, Ronald Rietman, Sahil Sharma, Ludo Tolhuizen, Jose Luis Torre-Arce:
A Comprehensive and Lightweight Security Architecture to Secure the IoT Throughout the Lifecycle of a Device Based on HIMMO. ALGOSENSORS 2015: 112-128 - [c3]Oscar García Morchon, Ronald Rietman, Sahil Sharma, Ludo Tolhuizen, Jose Luis Torre-Arce:
DTLS-HIMMO: Achieving DTLS Certificate Security with Symmetric Key Overhead. ESORICS (1) 2015: 224-242 - [i2]Oscar García Morchon, Ronald Rietman, Sahil Sharma, Ludo Tolhuizen, Jose Luis Torre-Arce:
A comprehensive and lightweight security architecture to secure the IoT throughout the lifecycle of a device based on HIMMO. IACR Cryptol. ePrint Arch. 2015: 454 (2015) - 2014
- [c2]Suvadeep Hajra, Chester Rebeiro, Shivam Bhasin, Gaurav Bajaj, Sahil Sharma, Sylvain Guilley, Debdeep Mukhopadhyay:
DRECON: DPA Resistant Encryption by Construction. AFRICACRYPT 2014: 420-439 - [i1]Oscar García Morchon, Ronald Rietman, Sahil Sharma, Ludo Tolhuizen, Jose Luis Torre-Arce:
DTLS-HIMMO: Efficiently Securing a Post-Quantum World with a Fully-Collusion Resistant KPS. IACR Cryptol. ePrint Arch. 2014: 1008 (2014) - 2013
- [c1]Sanjay K. Dhurandher, Isaac Woungang, Sahil Sharma, Veeresh Goswami:
A Priority Based Differentiation for Contention Mechanism in Legacy DCF Method. AINA Workshops 2013: 478-482
Coauthor Index
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