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Akash Sharma
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Journal Articles
- 2024
- [j10]Akash Sharma, Chanchal Kundu:
Residual and past varinaccuracy measures. IMA J. Math. Control. Inf. 41(3): 539-563 (2024) - 2023
- [j9]Akash Sharma, Sunil K. Singh, Anureet Chhabra, Sudhakar Kumar, Varsha Arya, Massoud Moslehpour:
A Novel Deep Federated Learning-Based Model to Enhance Privacy in Critical Infrastructure Systems. Int. J. Softw. Sci. Comput. Intell. 15(1): 1-23 (2023) - [j8]Anureet Chhabra, Akash Sharma, Kunal Chhabra, Amit Chhabra:
A Statistical Analysis of Sentiment over Different Social Platforms on Drug Usage across High, Middle and Low-Income Countries. Scalable Comput. Pract. Exp. 24(4): 971-984 (2023) - [j7]Nikita Mehrotra, Akash Sharma, Anmol Jindal, Rahul Purandare:
Improving Cross-Language Code Clone Detection via Code Representation Learning and Graph Neural Networks. IEEE Trans. Software Eng. 49(11): 4846-4868 (2023) - 2022
- [j6]Francisco José García-Peñalvo, Akash Sharma, Anureet Chhabra, Sunil K. Singh, Sudhakar Kumar, Varsha Arya, Akshat Gaurav:
Mobile Cloud Computing and Sustainable Development: Opportunities, Challenges, and Future Directions. Int. J. Cloud Appl. Comput. 12(1): 1-20 (2022) - [j5]Monika Dhiman, Akash Sharma, Sarbjeet Singh:
Recognition and Classification of Human Actions Using 2D Pose Estimation and Machine Learning. J. Comput. Sci. Eng. 16(4): 199-210 (2022) - [j4]Sachin Bhatt, Prithvi Singh, Archana Sharma, Arpita Rai, Ravins Dohare, Shweta Sankhwar, Akash Sharma, Mansoor Ali Syed:
Deciphering Key Genes and miRNAs Associated With Hepatocellular Carcinoma via Network-Based Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 843-853 (2022) - 2021
- [j3]Akash Sharma, Neeraj Kumar, Ayush Kumar, Karan Dikshit, Kusum Tharani, Bharat Singh:
Comparative investigation of machine learning algorithms for detection of epileptic seizures. Intell. Decis. Technol. 15(2): 269-279 (2021) - 2020
- [j2]Gregory E. Fernandes, Ya-Wen Chang, Akash Sharma, Sarah Tutt:
One-Step Assembly of Fluorescence-Based Cyanide Sensors from Inexpensive, Off-The-Shelf Materials. Sensors 20(16): 4488 (2020) - 2018
- [j1]Akash Sharma, Deepanshu Batra, Rajat Pandey, Priti Narwal, Vinay Kumar:
Distributed Denial of Service Attack and its Countermeasures. Int. J. Web Appl. 10(3): 91-99 (2018)
Conference and Workshop Papers
- 2024
- [c7]Anureet Chhabra, Sunil K. Singh, Akash Sharma, Sudhakar Kumar, Brij B. Gupta, Varsha Arya, Kwok Tai Chui:
Towards Sustainable Consumer Electronics: DL-based SoH and RUL Prediction for E-Waste Reduction. ICCE 2024: 1-4 - 2023
- [c6]Akash Sharma, Sunil K. Singh, Eshita Badwal, Sudhakar Kumar, Brij B. Gupta, Varsha Arya, Kwok Tai Chui, Domenico Santaniello:
Fuzzy Based Clustering of Consumers' Big Data in Industrial Applications. ICCE 2023: 1-3 - [c5]Ming-Fang Chang, Akash Sharma, Michael Kaess, Simon Lucey:
Neural Radiance Fields with LiDAR Maps. ICCV 2023: 17868-17877 - 2022
- [c4]Ruoyang Xu, Wei Dong, Akash Sharma, Michael Kaess:
Learned Depth Estimation of 3D Imaging Radar for Indoor Mapping. IROS 2022: 13260-13267 - 2021
- [c3]Akash Sharma, Wei Dong, Michael Kaess:
Compositional and Scalable Object SLAM. ICRA 2021: 11626-11632 - 2018
- [c2]Akash Sharma, Bharti Khungar:
A Deep Learning Approach for Molecular Crystallinity Prediction. IBICA 2018: 219-225 - 2017
- [c1]Anu G. Aggarwal, Akash Sharma:
An Innovative B2C E-commerce Websites Selection using the ME-OWA and Fuzzy AHP. ICITKM 2017: 13-19
Informal and Other Publications
- 2024
- [i6]Ben Leimkuhler, Akash Sharma, Michael V. Tretyakov:
Numerical integrators for confined Langevin dynamics. CoRR abs/2404.16584 (2024) - [i5]Carolina Higuera, Akash Sharma, Chaithanya Krishna Bodduluri, Taosha Fan, Patrick Lancaster, Mrinal Kalakrishnan, Michael Kaess, Byron Boots, Mike Lambeta, Tingfan Wu, Mustafa Mukadam:
Sparsh: Self-supervised touch representations for vision-based tactile sensing. CoRR abs/2410.24090 (2024) - 2023
- [i4]Karthik Bharath, Alexander Lewis, Akash Sharma, Michael V. Tretyakov:
Sampling and estimation on manifolds using the Langevin diffusion. CoRR abs/2312.14882 (2023) - 2022
- [i3]Dante Kalise, Akash Sharma, Michael V. Tretyakov:
Consensus based optimization via jump-diffusion stochastic differential equations. CoRR abs/2205.04880 (2022) - 2020
- [i2]Benedict J. Leimkuhler, Akash Sharma, Michael V. Tretyakov:
Simplest random walk for approximating Robin boundary value problems and ergodic limits of reflected diffusions. CoRR abs/2006.15670 (2020) - [i1]Akash Sharma, Wei Dong, Michael Kaess:
Compositional Scalable Object SLAM. CoRR abs/2011.02658 (2020)
Coauthor Index
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