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Publication search results
found 12 matches
- 2023
- Harshita Rathee, Bhavika Sachdeva, Pooja Gambhir, Amita Dev, Poonam Bansal:
Advancing Parkinson's Disease Detection: An Empirical Evaluation of Machine Learning Models Based on Speech Analysis. IC3I 2023: 2339-2344 - Bhavika Sachdeva, Harshita Rathee, Pooja Gambhir, Poonam Bansal:
Empirical Analysis of Machine Learning Models on Parkinson's Speech Dataset. O-COCOSDA 2023: 1-5 - 2022
- Sanjeev Rao, Nitin Arvind Shelke, Aditya Goel, Harshita Bansal:
Deepfake Creation and Detection using Ensemble Deep Learning Models. IC3 2022: 313-319 - 2021
- Henry Senyondo, Daniel J. McGlinn, Pranita Sharma, David J. Harris, Hao Ye, Shawn D. Taylor, Jeroen Ooms, Francisco J. Rodríguez-Sanchez, Karthik Ram, Apoorva Pandey, Harshit Bansal, Max Pohlman, Ethan P. White:
Rdataretriever: R Interface to the Data Retriever. J. Open Source Softw. 6(57): 2800 (2021) - Harshit Bansal, Philipp Schulze, Mohammad Hossein Abbasi, Hans Zwart, Laura Iapichino, Wil H. A. Schilders, Nathan van de Wouw:
Port-Hamiltonian formulation of two-phase flow models. Syst. Control. Lett. 149: 104881 (2021) - Rahul Sharma, Harshit Sharma, Tamanna Meena, Padmavati Khandnor, Palak Bansal, Paras Sharma:
Performance Evaluation of Deep Learning Models for Ship Detection. CVIP (2) 2021: 273-287 - Ruchi Mahindru, Harshit Kumar, Sahil Bansal:
Log Anomaly to Resolution: AI Based Proactive Incident Remediation. ASE 2021: 1353-1357 - 2020
- Mohammad Hossein Abbasi, Harshit Bansal, Hans Zwart, Laura Iapichino, Wil H. A. Schilders, Nathan van de Wouw:
Power-Preserving Interconnection of Single- and Two-Phase Flow Models for Managed Pressure Drilling. ACC 2020: 3097-3102 - Harshit Bansal, Siep Weiland, Laura Iapichino, Wil H. A. Schilders, Nathan van de Wouw:
Structure-preserving Spatial Discretization of a Two-Fluid Model. CDC 2020: 5062-5067 - Harshitha Katpally, Ajay Bansal:
Ensemble Learning on Deep Neural Networks for Image Caption Generation. ICSC 2020: 61-68 - 2019
- Harshit Bansal, Stephan Rave, Laura Iapichino, Wil H. A. Schilders, Nathan van de Wouw:
Model Order Reduction Framework for Problems with Moving Discontinuities. ENUMATH 2019: 83-91 - 2018
- Anatoliy Babic, Harshit Bansal, Gianluca Finocchio, Julian Golak, Mark A. Peletier, Jim Portegies, Clara Stegehuis, Anuj Tyagi, Roland Vincze, William Weimin Yoo:
SciSports: Learning football kinematics through two-dimensional tracking data. CoRR abs/1808.04550 (2018)
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