Geosynthetic solutions for river and coastal protection works von Vyas, Saurabhh, Garg, Shailesh, Hasilkar, Nirali

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Role of Extreme Precipitation and Initial Hydrologic Conditions on Floods in Godavari River Basin, India von Garg, Shailesh, Mishra, Vimal

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Neuroscience inspired neural operator for partial differential equations von Garg, Shailesh, Chakraborty, Souvik

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VB-DeepONet: A Bayesian operator learning framework for uncertainty quantification von Garg, Shailesh, Chakraborty, Souvik

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Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems von Garg, Shailesh, Chakraborty, Souvik, Hazra, Budhaditya

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Assessment of DeepONet for time dependent reliability analysis of dynamical systems subjected to stochastic loading von Garg, Shailesh, Gupta, Harshit, Chakraborty, Souvik

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Physics-integrated deep learning for uncertainty quantification and reliability estimation of nonlinear dynamical systems von Tripathi, Udbhav, Garg, Shailesh, Nayek, Rajdip, Chakraborty, Souvik

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Machine learning based digital twin for stochastic nonlinear multi-degree of freedom dynamical system von Garg, Shailesh, Gogoi, Ankush, Chakraborty, Souvik, Hazra, Budhaditya

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A Rare Case of Gastric Mantle Cell Lymphoma causing Superior Mesenteric Artery Syndrome in an Adult von Garg, Shailesh, Derzie, Alain

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Quantitative radiology: automated CT liver volumetry compared with interactive volumetry and manual volumetry von Suzuki, Kenji, Epstein, Mark L, Kohlbrenner, Ryan, Garg, Shailesh, Hori, Masatoshi, Oto, Aytekin, Baron, Richard L

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Distribution free uncertainty quantification in neuroscience-inspired deep operators von Garg, Shailesh, Chakraborty, Souvik

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Laparoscopic Repair of Foramen of Winslow Hernia von Garg, Shailesh, Flumeri-Perez, Giovanni, Perveen, Shabana, DeNoto, George

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Neuroscience inspired scientific machine learning (Part-1): Variable spiking neuron for regression von Garg, Shailesh, Chakraborty, Souvik

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Neuroscience inspired scientific machine learning (Part-2): Variable spiking wavelet neural operator von Garg, Shailesh, Chakraborty, Souvik

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Randomized prior wavelet neural operator for uncertainty quantification von Garg, Shailesh, Chakraborty, Souvik

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Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations von Garg, Shailesh, Chakraborty, Souvik

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Personal Watercraft Related Injuries—16-Year Experience from a Level I Trauma Center von Shin, Seung H., Johnson, Benjamin P., Mentzer, Caleb J., Garg, Shailesh, Jouria, Jassin, Wayand, Zarlakhta, Cartolano, Thomas J., Rattan, Rishi, Lieberman, Howard M., Zakrison, Tanya L.

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Distribution free uncertainty quantification in neuroscience-inspired deep operators von Garg, Shailesh, Chakraborty, Souvik

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Hybrid variable spiking graph neural networks for energy-efficient scientific machine learning von Jain, Isha, Garg, Shailesh, Shriyam, Shaurya, Chakraborty, Souvik

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Kikuchi-Fujimoto Disease Masquerading as Metastatic Papillary Carcinoma of the Thyroid von Garg, Shailesh, Villa, Manuel, Asirvatham, Jaya Ruth, Mathew, Thomas, Auguste, Louis-Joseph

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