From the 1 of 7 linked papers with an AI index.
7 papers
SpectONet: A Physics-Guided Spectral Deep Operator Network for Euler-Bernoulli Beam Dynamics
Shivani Saini, Ramesh Kumar Vats, Arup Kumar Sahoo
The paper introduces SpectONet, a physics‑guided spectral deep operator network that combines DeepONet with physics‑informed constraints and nonuniform Chebyshev‑Gauss‑Lobatto sens…
DVL-DeepONet: A Physics-Guided Operator Learning for Resilient Underwater Navigation
Arup Kumar Sahoo, Itzik Klein
Autonomous Underwater Vehicles (AUVs) rely heavily on the fusion of inertial sensors and Doppler velocity logs (DVLs) for navigation. In standard autonomous navigation systems, the…
PiDR: Physics-Informed Inertial Dead Reckoning for Autonomous Platforms
Arup Kumar Sahoo, Itzik Klein
A fundamental requirement for full autonomy is the ability to sustain accurate navigation in the absence of external data, such as GNSS signals or visual information. In these chal…
AI-Aided Advancements in Autonomous Underwater Vehicle Navigation
Guy Damari, Zeev Yampolsky, Nadav Cohen +4
Autonomous underwater vehicles (AUVs) have become indispensable for deep-sea exploration, spanning critical scientific research and commercial applications. The rapid attenuation o…
G-KdVNet: ANN-ADM Surrogate for Geophysical KdV Equation
Mrutyunjaya Sahoo, Arup Kumar Sahoo, Snehashish Chakraverty
This research examines the influence of the Coriolis parameter on the behaviour of the geophysical Korteweg-de Vries (KdV) equation. To efficiently approximate its solution, a nove…
A-PINN: Auxiliary Physics-informed Neural Networks for Structural Vibration Analysis in Continuous Euler-Bernoulli Beam
Shivani Saini, Ramesh Kumar Vats, Arup Kumar Sahoo
Recent advancements in physics-informed neural networks (PINNs) and their variants have garnered substantial focus from researchers due to their effectiveness in solving both forwa…