Results 221 to 230 of about 209,152 (323)

Dynamic Mode Decomposition (DMD) for Low‐Latency Real‐Time Cardiac MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To demonstrate dynamic mode decomposition (DMD) for high spatiotemporal low‐latency online reconstruction in 2D real‐time cardiac MRI. Methods DMD was applied to 2D spiral balanced steady state free precession (bSSFP) real‐time adult and fetal cardiac MRI at 0.55 T, with data from 10 healthy adult volunteers (3F/7M; age: 21–49; BMI: 20–
Ecrin Yagiz, Bilal Tasdelen, Ibrahim K. Ozaslan, Mihailo R. Jovanovic, Ye Tian, Krishna S. Nayak   +5 more
wiley   +1 more source

Real-time open-vocabulary perception for mobile robots on edge devices: a systematic analysis of the accuracy-latency trade-off. [PDF]

Front Robot AI
Park J, Kim P, Ko D.
europepmc   +1 more source

Using U‐Nets to Predict the Effects of Head Motion on Simulated Specific Absorption Rate for Ultra‐High Field Magnetic Resonance Imaging With Parallel Transmission

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Ultrahigh‐field MRI requires careful management of the specific absorption rate (SAR), which is subject and subject‐position dependent. Within‐scan subject motion may exacerbate local SAR exposure, necessitating large safety margins to prevent SAR underestimation, which hampers imaging performance.
Katherine Anna Blanter, Alix Plumley, Alper Gungor, Shaihan Malik, Emre Kopanoglu   +4 more
wiley   +1 more source

Automatic Visual Inspection for Industrial Application. [PDF]

J Imaging
Ribeiro AG, Vilaça L, Costa C, Soares da Costa T, Carvalho PM.   +4 more
europepmc   +1 more source

Development and Validation of a Deep Learning‐Based Facial Weakness Score for Objective Assessment in Facioscapulohumeral Muscular Dystrophy

Muscle &Nerve, EarlyView.
ABSTRACT Introduction/Aims Facioscapulohumeral muscular dystrophy (FSHD) is a muscle disease that leads, among other manifestations, to facial weakness. This weakness can severely impact communication and quality of life, yet it remains under‐researched with limited objective clinical measures.
T. G. J. Loonen, T. C. ten Harkel, S. C. C. Vincenten, C. G. C. Horlings, C. H. G. Beurskens, S. Knuijt, G. W. A. M. Padberg, B. G. M. van Engelen, T. J. J. Maal, K. Mul   +9 more
wiley   +1 more source

Elastoplasticity Informed Kolmogorov–Arnold Networks Using Chebyshev Polynomials

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Multilayer perceptron (MLP) networks are predominantly used to develop data‐driven constitutive models for granular materials. They offer a compelling alternative to traditional physics‐based constitutive models in predicting non‐linear responses of these materials, for example, elastoplasticity, under various loading conditions. To attain the
Farinaz Mostajeran, Salah A. Faroughi
wiley   +1 more source

Lightweight pavement crack detection model for edge computing devices. [PDF]

Sci Rep
Li Z, Yang J, Wang H, Li X, Li D, Wang X.   +5 more
europepmc   +1 more source

Developing a Heterogeneous Attenuation Model for Fiber Reinforced Thermoplastic Composites in the Kilohertz Region of the Ultrasonic Spectrum

Polymer Composites, EarlyView.
Acquisition, filtering and modeling by genetic programming (tree pattern) of the acoustic signal for fiber‐filled composites. ABSTRACT This study experimentally investigated the discrete phase contributions of fibers and entrapped air on the attenuation spectrum of a fiber‐filled thermoplastic composite and derives a mathematical expression for sound ...
Austin D. Bedrosian, Andrew Hrymak, Gisela Lanza, Michael R. Thompson   +3 more
wiley   +1 more source

HMA-YOLO: a high precision and lightweight detection model of corn trumpet in corn precision pesticide application system. [PDF]

Front Plant Sci
Zhang C, Li W, Wu L, Xing Y, Qi X.
europepmc   +1 more source

A pipeline to compile expert‐verified datasets of digitised herbarium specimens for automated plant identification to accelerate taxonomy

PLANTS, PEOPLE, PLANET, EarlyView.
Understanding and protecting plant life is essential for tackling the twin challenges of biodiversity loss and climate change. To support this, we have developed a new digital approach that helps identify plant species more quickly and accurately.
Jed Arno, Jérémie Morel, Fitiavana Rasaminirina, Juliene de Fátima Maciel‐Silva, Daniel Cahen, Damon P. Little, Daniele Silvestro, Alexandre Antonelli, Olwen Grace, Li Zhang, Isabel Larridon   +10 more
wiley   +1 more source