Results 61 to 70 of about 57,699 (297)

Bilinear interpolation of program control in approach problem

Ufa Mathematical Journal, 2023
Summary: We consider a controlled system involving a constant two-dimensional vector parameter, the approximate value of which is reported to the controlling person only at the moment of the start of movement. A priori only the set of possible values of these unknown parameter is given.
openaire   +3 more sources

MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion

Advanced Science, EarlyView.
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong, Ji Ma, Yidan Lu, Jiahui Zhang, Wanyue Li, Yeke Chen, Teng Zhang, Xuechao Chen, Zhangguo Yu, Peng Lu   +9 more
wiley   +1 more source

Effect of zooming on texture features of ultrasonic images

Cardiovascular Ultrasound, 2006
Background Unstable carotid plaques on subjective, visual, assessment using B-mode ultrasound scanning appear as echolucent and heterogeneous. Although previous studies on computer assisted plaque characterisation have standardised B-mode images for ...
Kyriacou Efthyvoulos, Nicolaides Andrew N, Kakkos Stavros K, Pattichis Constantinos S, Geroulakos George   +4 more
doaj   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

SLIC Based Digital Image Enlargement

, 2018
Low resolution image enhancement is a classical computer vision problem. Selecting the best method to reconstruct an image to a higher resolution with the limited data available in the low-resolution image is quite a challenge.
Amara, M. Z. F., Bandara, R., Silva, Thushari   +2 more
core   +1 more source

On the relative merits of interpolation schemes for the immersed boundary method: a case study with the heat equation

Trends in Computational and Applied Mathematics
In this work, three implementation options for the ghost cell immersed boundary method are compared. These options are alternatives to a rather common implementation of the method that is susceptible to numerical instability in the calculation of the
Willian Carlos Lesinhovski, N. L. Dias, L. S. Freire, A. C. F. S. Jesus   +3 more
doaj   +1 more source

An Iterative Algorithm for Predicting Seafloor Topography from Gravity Anomalies

Remote Sensing, 2023
As high-resolution global coverage cannot easily be achieved by direct bathymetry, the use of gravity data is an alternative method to predict seafloor topography.
Jinhai Yu, Bang An, Huan Xu, Zhongmiao Sun, Yuwei Tian, Qiuyu Wang   +5 more
doaj   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Super Resolution Reconstruction of Images Based on Interpolation and Full Convolutional Neural Network and Application in Medical Fields

IEEE Access, 2019
The traditional image to enlarge algorithms include nearest neighbor interpolation, bilinear interpolation and high-order interpolation. In order to achieve super-resolution reconstruction of images, a new algorithm combining traditional algorithms and ...
Na Sun, Huina Li
doaj   +1 more source

An Efficient Second-Order Accurate and Continuous Interpolation for Block-Adaptive Grids

, 2014
In this paper we present a second-order and continuous interpolation algorithm for cell-centered adaptive-mesh-refinement (AMR) grids. Continuity requirement poses a non-trivial problem at resolution changes. We develop a classification of the resolution
Borovikov, Dmitry, Sokolov, Igor V., Toth, Gabor   +2 more
core   +1 more source