Validation of Orthogonal Probability Approximation for Space Situational Awareness using Real Satellite Data P Sivasankar, BG Lewis Jr, AB Probe, TA Elgohary 3rd IAA Conference on Space Situational Awareness (ICSSA), 2022 | 2 | 2022 |
Cislunar Orbital Uncertainty Propagation through the application of Radial Basis Function Approximation P Sivasankar, T Elgohary AIAA SCITECH 2024 Forum, 0202, 2024 | 1 | 2024 |
APPLICATION OF RADIAL BASIS FUNCTION APPROXIMATION FOR ORBITAL UNCERTAINTY PROPAGATION IN ASTRODYNAMICS P Sivasankar, TA Elgohary | 1 | 2023 |
Leveraging Machine Learning to Interpret and Analyze Mars Spectrometer Data A Saxena, O Johnson, P Sivasankar, K Parmar, R Alvarez, V Da Poian, ... AGU24, 2024 | | 2024 |
Orthogonal Probability Approximation for Highly Accurate and Efficient Orbit Uncertainty Propagation P Sivasankar, AB Probe, TA Elgohary | | 2024 |
Finding Indicators of Nuclear Activity in Open-Source Images using AI/ML. An Interorganizational Approach to Increase Nuclear Safeguards R Alvarez, A Gazda, A Sarkar, D Nyarko, JJA Hastings, P Sivasankar AGU Fall Meeting Abstracts 2023 (735), IN33C-0735, 2023 | | 2023 |
Leveraging Synthetic Image Data for Real-World Applications: Enhancing Nuclear Safeguards and Capabilities through AI/ML R Alvarez, JJA Hastings, A Gazda, A Sarkar, P Sivasankar, D Nyarko AGU Fall Meeting Abstracts 2023 (976), GC21F-0976, 2023 | | 2023 |
Accurate and efficient orbit prediction through improved drag force modelling of GRACE and PROBA-V satellites P SIVASANKAR | | 2019 |
Application of a state space based neural network model for Uncertainty Propagation in dynamical systems P Sivasankar, H Quebedeaux, TA Elgohary | | |