AIMC Topic: Motion

Clear Filters Showing 211 to 220 of 879 articles

Motion compensated self supervised deep learning for highly accelerated 3D ultrashort Echo time pulmonary MRI.

Magnetic resonance in medicine
PURPOSE: To investigate motion compensated, self-supervised, model based deep learning (MBDL) as a method to reconstruct free breathing, 3D pulmonary UTE acquisitions.

Simulation-based inference for non-parametric statistical comparison of biomolecule dynamics.

PLoS computational biology
Numerous models have been developed to account for the complex properties of the random walks of biomolecules. However, when analysing experimental data, conditions are rarely met to ensure model identification. The dynamics may simultaneously be inf...

A feedforward unitary equivariant neural network.

Neural networks : the official journal of the International Neural Network Society
We devise a new type of feedforward neural network. It is equivariant with respect to the unitary group U(n). The input and output can be vectors in ℂ with arbitrary dimension n. No convolution layer is required in our implementation. We avoid errors...

Stable Heteroclinic Channel Networks for Physical Human-Humanoid Robot Collaboration.

Sensors (Basel, Switzerland)
Human-robot collaboration is one of the most challenging fields in robotics, as robots must understand human intentions and suitably cooperate with them in the given circumstances. But although this is one of the most investigated research areas in r...

Volleyball Movement Standardization Recognition Model Based on Convolutional Neural Network.

Computational intelligence and neuroscience
Artificial intelligence and deep learning have attracted much attention from researchers in industry and academia. The volleyball movement standardization and recognition model involve the application of artificial intelligence and deep learning. In ...

Dynamic Research on Nonlinear Locomotion of Inchworm-Inspired Soft Crawling Robot.

Soft robotics
Inchworm-inspired bionic soft crawling robot (SCR) composed of soft materials possesses preeminent active compliant deformation ability and has obvious advantages over traditional hard robots when moving in a confined space, which is up-and-coming ca...

A featureless approach for object detection and tracking in dynamic environments.

PloS one
One of the challenging problems in mobile robotics is mapping a dynamic environment for navigating robots. In order to disambiguate multiple moving obstacles, state-of-art techniques often solve some form of dynamic SLAM (Simultaneous Localization an...

Synthetic-to-real domain adaptation with deep learning for fitting the intravoxel incoherent motion model of diffusion-weighted imaging.

Medical physics
BACKGROUND: Intravoxel incoherent motion (IVIM) is a type of diffusion-weighted imaging (DWI), and IVIM model parameters (water molecule diffusion rate D , pseudo-diffusion coefficient D , and tissue perfusion fraction F ) have been widely used in th...

Classification of red cell dynamics with convolutional and recurrent neural networks: a sickle cell disease case study.

Scientific reports
The fraction of red blood cells adopting a specific motion under low shear flow is a promising inexpensive marker for monitoring the clinical status of patients with sickle cell disease. Its high-throughput measurement relies on the video analysis of...

A Preprogrammable Continuum Robot Inspired by Elephant Trunk for Dexterous Manipulation.

Soft robotics
Cable-driven continuum robots with hyper-redundant deformable backbones show great promise in applications, such as inspection in unstructured environments, where traditional rigid robots with discrete links and joints fail to operate. However, the m...