Results 51 to 60 of about 171,177 (279)
Predicting Performance of Hall Effect Ion Source Using Machine Learning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Mechanism analysis of the vortex ring and its effects on an axial descending rotor [PDF]
International Journal of Fluid EngineeringA vortex ring is a flow phenomenon involving a complex toroidal vortex system. When a rotor is in descending flight, it may enter the vortex ring state (VRS), which will affect the rotor’s aerodynamic characteristics and even endanger it.
Lifang Zeng +3 more
doaj +1 more source
Investigation of Periodic Boundary Conditions in Multi-Passage Cascade Flows Using Overset Grids
, 1998 A Navier-Stokes solutions method with overset grids is applied to unsteady multipassage cascade flows, and the unsteady blade loadings are compared against the single-passage solutions with the direct store interblade boundary condition.
Tuncer, İSMAİL HAKKI +11 more
core +1 more source
Advanced Intelligent Systems, EarlyView.A scalable distributed observer framework for LiDAR sensor networks is presented for robust tracking and pose estimation of mobile robots. By combining adaptable 3D detection, clustering‐based communication reduction, and intermittent inertial fusion, accurate and efficient estimation is achieved under occlusions and sensing constraints, with formally ...
Isabella Luppi, Ehsan Hashemi
wiley +1 more source
High-order residual-based compact schemes for compressible flows on overset grids
, 2014 Residual-Based Compact (RBC) schemes have been developed for the simulation of compressible flows in the finite difference framework and extended to curvilinear grids via a structured finite-volume formulation.
CINNELLA, Paola +4 more
core +1 more source
Graph Neural Network‐Based Reinforcement Learning for Decentralized Multi‐Robot Manipulation
Advanced Intelligent Systems, EarlyView.Robot arms lifting a large object face a trade‐off: centralized controllers explode in parameters, while decentralized ones cannot coordinate. A GNN resolves this—each arm runs its own network but acts on the full team state, achieving centralized‐level coordination with decentralized execution. Trained across team sizes, a single policy scales to four‐
Tong Chen +3 more
wiley +1 more source
A comparative study of turbulence models for overset grids
30th Aerospace Sciences Meeting and Exhibit, 1992 The implementation of two different types of turbulence models for a flow solver using the Chimera overset grid method is examined. Various turbulence model characteristics, such as length scale determination and transition modeling, are found to have a significant impact on the computed pressure distribution for a multielement airfoil case.
KEVIN RENZE +2 more
openaire +4 more sources
3D Closed‐Loop Navigation of Magnetic Microswimmers Using Vision‐Derived Depth Feedback
Advanced Intelligent Systems, EarlyView.A planar magnetic microswimmer is navigated in three dimensions under a standard microscope. Image defocus supplies a real‐time depth cue, and model‐predictive control with A* planning steers the body on surfaces and in free swimming. Axial position is regulated by propulsion alone, without magnetic field gradients or extra cameras.
Yasin Cagatay Duygu +2 more
wiley +1 more source
Optimization of Flapping Airfoils for Maximum Thrust and Propulsive Efficiency
Acta Polytechnica, 2004 A numerical optimization algorithm based on the steepest decent along the variation of the optimization function is implemented for maximizing the thrust and/or propulsive efficiency of a single flapping airfoil.
I. H. Tuncer, M. Kay
doaj
Multi‐Stage Social Value Orientation‐Based Lane‐Changing Driving for Autonomous Vehicles
Advanced Intelligent Systems, EarlyView.A multi‐stage SVO framework is developed to dynamically infer the social preferences of surrounding vehicles from human driving data. By combining offline learning, online SVO estimation, temporal intention tracking, and interaction‐aware planning, the framework enables autonomous vehicles to adapt lane‐changing decisions and trajectories to evolving ...
Nongrui Qin +4 more
wiley +1 more source