Results 51 to 60 of about 3,878,820 (309)
Fast Motion Deblurring Using Sensor-Aided Motion Trajectory Estimation
This paper presents an image deblurring algorithm to remove motion blur using analysis of motion trajectories and local statistics based on inertial sensors.
Eunsung Lee +3 more
doaj +1 more source
Motion estimation and quality enhancement for a single image in dynamic single-pixel imaging.
In single-pixel imaging (SPI), a large number of illuminations is usually required to capture one single image. Consequently, SPI may only achieve a very low frame rate for a fast-moving object and the reconstructed images are contaminated with blur and ...
Shuming Jiao +5 more
semanticscholar +1 more source
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source
Myocardial strain analysis of echocardiography based on deep learning
BackgroundStrain analysis provides more thorough spatiotemporal signatures for myocardial contraction, which is helpful for early detection of cardiac insufficiency.
Yinlong Deng +9 more
doaj +1 more source
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
Implementation and Validation of a Three-dimensional Cardiac Motion Estimation Network.
Purpose To describe an unsupervised three-dimensional cardiac motion estimation network (CarMEN) for deformable motion estimation from two-dimensional cine MR images. Materials and Methods A function was implemented using CarMEN, a convolutional neural
M. Morales +5 more
semanticscholar +1 more source
A Variational Model for Joint Motion Estimation and Image Reconstruction [PDF]
The aim of this paper is to derive and analyze a variational model for the joint estimation of motion and reconstruction of image sequences, which is based on a time-continuous Eulerian motion model.
M. Burger, H. Dirks, C. Schönlieb
semanticscholar +1 more source
Diversity and complexity in neural organoids
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Genetic Algorithm-Based Motion Estimation Method using Orientations and EMGs for Robot Controls
Demand for interactive wearable devices is rapidly increasing with the development of smart devices. To accurately utilize wearable devices for remote robot controls, limited data should be analyzed and utilized efficiently. For example, the motions by a
Jeongsook Chae +3 more
doaj +1 more source
Optical flow for large motion using gradient technique [PDF]
In this paper, we present the gradient-based optical flow method that estimates the two-dimensional velocity of object motion. a multi-resolution smoothing operation proposes in this paper as a pre-processing step for overcoming the difficulty of large ...
Sarker Hossain Mosharrof +2 more
doaj +1 more source

