AIMC Topic: Hydrodynamics

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Real-time position and pose prediction for a self-propelled undulatory swimmer in 3D space with artificial lateral line system.

Bioinspiration & biomimetics Jun 5, 2024
This study aims to investigate the feasibility of using an artificial lateral line (ALL) system for predicting the real-time position and pose of an undulating swimmer with Carangiform swimming patterns. We established a 3D computational fluid dynami...
Robotics Models, Biological Computer Simulation Animals Swimming Hydrodynamics Lateral Line System Perciformes Biomimetics Neural Networks, Computer
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DualFluidNet: An attention-based dual-pipeline network for fluid simulation.

Neural networks : the official journal of the International Neural Network Society May 21, 2024
Fluid motion can be considered as a point cloud transformation when using the SPH method. Compared to traditional numerical analysis methods, using machine learning techniques to learn physics simulations can achieve near-accurate results, while sign...
Computer Simulation Attention Hydrodynamics Neural Networks, Computer Machine Learning Algorithms
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Investigation of direct contact membrane distillation (DCMD) performance using CFD and machine learning approaches.

Chemosphere Apr 9, 2024
Direct Contact Membrane Distillation (DCMD) is emerging as an effective method for water desalination, known for its efficiency and adaptability. This study delves into the performance of DCMD by integrating two powerful analytical tools: Computation...
Machine Learning Water Purification Neural Networks, Computer Porosity Hydrodynamics Membranes, Artificial Temperature Models, Theoretical Distillation
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Hemodynamic factors of spontaneous vertebral artery dissecting aneurysms assessed with numerical and deep learning algorithms: Role of blood pressure and asymmetry.

Neuro-Chirurgie Jan 29, 2024
BACKGROUND AND OBJECTIVES: The pathophysiology of spontaneous vertebral artery dissecting aneurysms (SVADA) is poorly understood. Our goal is to investigate the hemodynamic factors contributing to their formation using computational fluid dynamics (C...
Vertebral Artery Dissection Blood Pressure Hydrodynamics Intracranial Aneurysm Vertebral Artery Hemodynamics Deep Learning Male Middle Aged Humans Computer Simulation Female Algorithms
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Enhancing interpretability and generalizability of deep learning-based emulator in three-dimensional lake hydrodynamics using Koopman operator and transfer learning: Demonstrated on the example of lake Zurich.

Water research Dec 10, 2023
Three-dimensional lake hydrodynamic model is a powerful tool widely used to assess hydrological condition changes of lake. However, its computational cost becomes problematic when forecasting the state of large lakes or using high-resolution simulati...
Computer Simulation Neural Networks, Computer Lakes Deep Learning Hydrodynamics
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Deep learning, geometric characterization and hydrodynamic modeling for assessing sewer defect impacts on urban flooding: A case study in Guangzhou, China.

Journal of environmental management Dec 5, 2023
Deep learning techniques have offered innovative and efficient tools for accurate and automated detection of sewer defects by leveraging large-scale sewer data and advanced feature learning algorithms. However, there has been a lack of thorough chara...
Floods China Hydrodynamics Algorithms Deep Learning
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A two-dimensional hydrodynamics prediction framework for mantle-undulated propulsion robot using multiple proper orthogonal decomposition and long short term memory neural network.

Bioinspiration & biomimetics Nov 29, 2023
In this paper, a deep learning based framework has been developed to predict hydrodynamic forces on a mantle-undulated propulsion robot (MUPRo). A multiple proper orthogonal decomposition (MPOD) algorithm has been proposed to efficiently identify flu...
Neural Networks, Computer Hydrodynamics Reproducibility of Results Robotics
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The role of hydrodynamics in collective motions of fish schools and bioinspired underwater robots.

Journal of the Royal Society, Interface Oct 25, 2023
Collective behaviour defines the lives of many animal species on the Earth. Underwater swarms span several orders of magnitude in size, from coral larvae and krill to tunas and dolphins. Agent-based algorithms have modelled collective movements of an...
Animals Robotics Fishes Hydrodynamics Schools Perciformes
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The roles of artificial intelligence techniques for increasing the prediction performance of important parameters and their optimization in membrane processes: A systematic review.

Ecotoxicology and environmental safety May 30, 2023
Membrane-based separation processes has been recently of significant global interest compared to other conventional separation approaches due to possessing undeniable advantages like superior performance, environmentally-benign nature and simplicity ...
Hydrodynamics Water Purification Computer Simulation Artificial Intelligence Algorithms
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Deep learning enables super-resolution hydrodynamic flooding process modeling under spatiotemporally varying rainstorms.

Water research May 6, 2023
Real-time information on flooding extent, severity, and duration is necessary for effective metropolitan flood emergency management. Existing pluvial flood analysis methods are unable to simulate real-time regional flooding processes under spatiotemp...
Hydrodynamics Floods Models, Theoretical Deep Learning Hong Kong
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