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Showing 33 results for "noah stephens davidowitz" in Engineering · Preprint
Engineering Preprint PDF DOI

Integrating Delay-Absorption Capability into Flight Departure Delay Prediction

Jianyang Zhou · 2025

Accurately forecasting flight departure delays is essential for improving operational efficiency and mitigating the cascading disruptions that propagate through tightly coupled aircraft rotations. Tra…

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Engineering Preprint PDF DOI

Nauplius Optimisation for Autonomous Hydrodynamics

Shyalan Ramesh, Scott Mann, Alex Stumpf · 2025

Autonomous Underwater vehicles must operate in strong currents, limited acoustic bandwidth, and persistent sensing requirements where conventional swarm optimisation methods are unreliable. This paper…

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Engineering Preprint PDF DOI

STL-FFT-STFT-TCN-LSTM: An Effective Wave Height High Accuracy Prediction Model Fusing Time-Frequency Domain Features

Huipeng Liu, Zhichao Zhu, Yuan Zhou, Changlu Li · 2025

As the consumption of traditional energy sources intensifies and their adverse environmental impacts become more pronounced, wave energy stands out as a highly promising member of the renewable energy…

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Engineering Preprint PDF DOI

Data-driven quantification and visualization of resilience metrics of power distribution system

Dingwei Wang, Salish Maharjan, Junyuan Zheng, Liming Liu, Zhaoyu Wang · 2025

This paper presents a data-driven approach for quantifying the resilience of distribution power grids to extreme weather events using two key metrics: (a) the number of outages and (b) restoration tim…

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Engineering Preprint PDF DOI

Physics-Informed Transfer Learning for Data-Driven Sound Source Reconstruction in Near-Field Acoustic Holography

Xinmeng Luan, Mirco Pezzoli, Fabio Antonacci, Augusto Sarti · 2025

We propose a transfer learning framework for sound source reconstruction in Near-field Acoustic Holography (NAH), which adapts a well-trained data-driven model from one type of sound source to another…

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Engineering Preprint PDF DOI

Physics-Informed Neural Network-Driven Sparse Field Discretization Method for Near-Field Acoustic Holography

Xinmeng Luan, Mirco Pezzoli, Fabio Antonacci, Augusto Sarti · 2025

We propose the Physics-Informed Neural Network-driven Sparse Field Discretization method (PINN-SFD), a novel self-supervised, physics-informed deep learning approach for addressing the Near-Field Acou…

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Engineering Preprint PDF DOI

Getting SMARTER for Motion Planning in Autonomous Driving Systems

Montgomery Alban, Ehsan Ahmadi, Randy Goebel, Amir Rasouli · 2025

Motion planning is a fundamental problem in autonomous driving and perhaps the most challenging to comprehensively evaluate because of the associated risks and expenses of real-world deployment. There…

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Engineering Preprint PDF DOI

EnKode: Active Learning of Unknown Flows with Koopman Operators

Alice Kate Li, Thales C. Silva, M. Ani Hsieh · 2024

In this letter, we address the task of adaptive sampling to model vector fields. When modeling environmental phenomena with a robot, gathering high resolution information can be resource intensive. Ac…

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Engineering Preprint PDF DOI

Improving the Intelligent Driver Model by Incorporating Vehicle Dynamics: Microscopic Calibration and Macroscopic Validation

Dominik Salles, Steve Oswald, Hans-Christian Reuss · 2024

Microscopic traffic simulations are used to evaluate the impact of infrastructure modifications and evolving vehicle technologies, such as connected and automated driving. Simulated vehicles are contr…

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Engineering Preprint PDF DOI

DASS: Distilled Audio State Space Models Are Stronger and More Duration-Scalable Learners

Saurabhchand Bhati, Yuan Gong, Leonid Karlinsky, Hilde Kuehne, Rogerio Feris, James Glass · 2024

State-space models (SSMs) have emerged as an alternative to Transformers for audio modeling due to their high computational efficiency with long inputs. While recent efforts on Audio SSMs have reporte…

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Engineering Preprint PDF DOI

ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning

Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Daniel Palenicek, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar · 2024

We present a framework for intuitive robot programming by non-experts, leveraging natural language prompts and contextual information from the Robot Operating System (ROS). Our system integrates large…

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Engineering Preprint PDF DOI

A Bimanual Teleoperation Framework for Light Duty Underwater Vehicle-Manipulator Systems

Justin Sitler, Srikarran Sowrirajan, Brendan Englot, Long Wang · 2024

In an effort to lower the barrier to entry in underwater manipulation, this paper presents an open-source, user-friendly framework for bimanual teleoperation of a light-duty underwater vehicle-manipul…

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Engineering Preprint PDF DOI

On the relationship between speech and hearing

Srinivasan Umesh, Leon Cohen, Douglas Nelson · 2024

We present a framework for experimentally linking speech production and hearing. Using this approach, we describe experimental results, that lead to the concept that sounds made by different individua…

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Engineering Preprint PDF DOI

Texture and Noise Dual Adaptation for Infrared Image Super-Resolution

Yongsong Huang, Tomo Miyazaki, Xiaofeng Liu, Yafei Dong, Shinichiro Omachi · 2023

Recent efforts have explored leveraging visible light images to enrich texture details in infrared (IR) super-resolution. However, this direct adaptation approach often becomes a double-edged sword, a…

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Engineering Preprint PDF DOI

Phase-Field DeepONet: Physics-informed deep operator neural network for fast simulations of pattern formation governed by gradient flows of free-energy functionals

Wei Li, Martin Z. Bazant, Juner Zhu · 2023

Recent advances in scientific machine learning have shed light on the modeling of pattern-forming systems. However, simulations of real patterns still incur significant computational costs, which coul…

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Engineering Preprint PDF DOI

SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training

Wenyong Huang, Zhenhe Zhang, Yu Ting Yeung, Xin Jiang, Qun Liu · 2022

We introduce a new approach for speech pre-training named SPIRAL which works by learning denoising representation of perturbed data in a teacher-student framework. Specifically, given a speech utteran…

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Engineering Preprint PDF DOI

Effects of Design and Hydrodynamic Parameters on Optimized Swimming for Simulated, Fish-inspired Robots

Donghao Li, Hankun Deng, Yagiz E. Bayiz, Bo Cheng · 2021

In this work we developed a mathematical model and a simulation platform for a fish-inspired robotic template, namely Magnetic, Modular, Undulatory Robotics ($\mu$Bots). Through this platform, we syst…

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Engineering Preprint PDF DOI

Velocity Level Approximation of Pressure Field Contact Patches

Joseph Masterjohn, Damrong Guoy, John Shepherd, Alejandro Castro · 2021

Pressure Field Contact (PFC) was recently introduced as a method for detailed modeling of contact interface regions at rates much faster than elasticity-theory models, while at the same time predictin…

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Engineering Preprint PDF DOI

GNSS Radio Occultation on Aerial Platforms with Commercial Off-The-Shelf Receivers

Bryan C. Chan, Ashish Goel, Jonathan Kosh, Tyler G. R. Reid, Corey R. Snyder, Paul M. Tarantino, Saraswati Soedarmadji, Widyadewi Soedarmadji, Kevin Nelson, Feiqin Xie, Michael Vergalla · 2021

In recent decades, GNSS Radio Occultation soundings have proven an invaluable input to global weather forecasting. The success of government-sponsored programs such as COSMIC is now complemented by co…

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Engineering Preprint PDF DOI

Lexical Access Model for Italian -- Modeling human speech processing: identification of words in running speech toward lexical access based on the detection of landmarks and other acoustic cues to features

Maria-Gabriella Di Benedetto, Stefanie Shattuck-Hufnagel, Jeung-Yoon Choi, Luca De Nardis, Javier Arango, Ian Chan, Alec DeCaprio · 2021

Modelling the process that a listener actuates in deriving the words intended by a speaker requires setting a hypothesis on how lexical items are stored in memory. This work aims at developing a syste…

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