Titlebook: New Approaches for Multidimensional Signal Processing; Proceedings of Inter Roumen Kountchev,Rumen Mironov,Kazumi Nakamatsu Conference proc

Gentry

Obstruction

Conference proceedings 2024ld at Technical University of Sofia, Sofia, Bulgaria, during 6–8 July 2023. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, m

是他笨

2190-3018 in academia and industry.Presents research works in the fie.This book is a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2023), held at Technical University of Sofia, Sofia, Bulgaria, during 6–8 July 2023. The book cover

天空

Research on Behavior Control Method in 3D Virtual Animation Design Based on the Purpose of Improvintrol, pose data estimation and safety control of the behavior, and realize more efficient reaction control. Finally, the experimental results verify the effectiveness of this method, which has a certain effect on improving the overseas dissemination effect of animation.

薄膜

A Human-Inspired Semantic SLAM Based on Parking-Slot Number for Autonomous Valet Parking,riments on our simulation dataset show that this method performs well and has a better accuracy than traditional ICP. This work may have a promotion for autonomous valet parking and be applied to commercial products one day.

Perigee

Effect of Rehabilitation Robot Training on Cognitive Function in Stroke Patients: A Systematic Revireduced MOCA scores, MBI scores, and FMA scores. Furthermore, the FIM scores and MMSE scores were also better than the control groups. Rehabilitation robot training can improve the cognitive function of stroke patients and is an effective means of stroke rehabilitation.

Carcinoma

BILL

使出神

PACK

Weighted Tensor Least Angle Regression for Solving Sparse Weighted Multilinear Least Squares Probles problems with arbitrary diagonal weights for all critical values of their regularization parameter. To demonstrate the validity of our new Weighted Least Angle Regression (WT-LARS) algorithm, we used it to successfully solve three different image inpainting problems by obtaining sparse representations of binary-weighted images.