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08/25/2023
Snapp: An Agile Robotic Fish with 3-D Maneuverability for Open Water Swim
Fish exhibit impressive locomotive performance and agility in complex un...
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08/12/2023
Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-link Diagrams
Graph or network data are widely studied in both data mining and visuali...
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04/16/2023
CEBoosting: Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting
Regime switching is ubiquitous in many complex dynamical systems with mu...
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03/14/2023
Particle-Continuum Multiscale Modeling of Sea Ice Floes
Sea ice profoundly influences the polar environment and the global clima...
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12/22/2022
Trajectory Generation and Tracking Control for Aggressive Tail-Sitter Flights
We address the theoretical and practical problems related to the traject...
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11/19/2022
MARSIM: A light-weight point-realistic simulator for LiDAR-based UAVs
The emergence of low-cost, small form factor and light-weight solid-stat...
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09/14/2022
Decentralized LiDAR-inertial Swarm Odometry
Accurate self and relative state estimation are the critical preconditio...
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08/19/2022
A Causality-Based Learning Approach for Discovering the Underlying Dynamics of Complex Systems from Partial Observations with Stochastic Parameterization
Discovering the underlying dynamics of complex systems from data is an i...
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06/05/2022
LASSO-Based Multiple-Line Outage Identification In Partially Observable Power Systems
Phasor measurement units (PMUs) create ample real-time monitoring opport...
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04/07/2022
MC-UNet Multi-module Concatenation based on U-shape Network for Retinal Blood Vessels Segmentation
Accurate segmentation of the blood vessels of the retina is an important...
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03/22/2022
An Efficient Data-Driven Multiscale Stochastic Reduced Order Modeling Framework for Complex Systems
Suitable reduced order models (ROMs) are computationally efficient tools...
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03/05/2022
Quantifying the Predictability of ENSO Complexity Using a Statistically Accurate Multiscale Stochastic Model and Information Theory
An information-theoretic framework is developed to assess the predictabi...
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12/27/2021
Shock trace prediction by reduced models for a viscous stochastic Burgers equation
Viscous shocks are a particular type of extreme events in nonlinear mult...
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12/09/2021
Conditional Gaussian Nonlinear System: a Fast Preconditioner and a Cheap Surrogate Model For Complex Nonlinear Systems
Developing suitable approximate models for analyzing and simulating comp...
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07/27/2021
An Efficient and Statistically Accurate Lagrangian Data Assimilation Algorithm with Applications to Discrete Element Sea Ice Models
Lagrangian data assimilation of complex nonlinear turbulent flows is an ...
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07/14/2021
Dynamic Power Systems Line Outage Detection Using Particle Filter and Partially Observed States
Limited phasor measurement unit (PMU) and varying signal strength levels...
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05/28/2021
Lagrangian Data Assimilation and Uncertainty Quantification for Sea Ice Floes with an Efficient Physics-Constrained Superfloe Parameterization
The discrete element method (DEM) is providing a new modeling approach f...
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12/03/2020
Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning
In this paper, we investigate a radio access network (RAN) slicing probl...
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09/01/2020
Visual Causality Analysis of Event Sequence Data
Causality is crucial to understanding the mechanisms behind complex syst...
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07/07/2020
Statistical design considerations for trials that study multiple indications
Breakthroughs in cancer biology have defined new research programs empha...
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12/09/2019
Phase I analysis of hidden operating status for wind turbine
Data-driven methods based on Supervisory Control and Data Acquisition (S...
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12/09/2019
Conditional Kernel Density Estimation Considering Autocorrelation for Renewable Energy Probabilistic Modeling
Renewable energy is essential for energy security and global warming mit...
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11/05/2019
A Control Chart Approach to Power System Line Outage Detection Under Transient Dynamics
Online transmission line outage detection over the entire network enable...
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08/07/2019
Task-Oriented Optimal Sequencing of Visualization Charts
A chart sequence is used to describe a series of visualization charts ge...
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08/01/2019
Analyzing Basket Trials under Multisource Exchangeability Assumptions
Basket designs are prospective clinical trials that are devised with the...
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02/01/2019
An efficient sorting algorithm - Ultimate Heapsort(UHS)
Motivated by the development of computer theory, the sorting algorithm i...
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02/01/2019
The Application of Bipartite Matching in Assignment Problem
The optimized assignment of staff is of great significance for improving...
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01/17/2019
Spatial localization for nonlinear dynamical stochastic models for excitable media
Nonlinear dynamical stochastic models are ubiquitous in different areas....
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11/16/2018