Results 41 to 50 of about 360,708 (169)

Adding the latency period to a muscle contraction model coupled to a membrane action potential model

Frontiers in Physics, 2023
Introduction: Skeletal muscle is responsible for multiple functions for maintaining energy homeostasis and daily activities. Muscle contraction is activated by nerve signals, causing calcium release and interaction with myofibrils.
Nadia Roberta Chaves Kappaun, Nadia Roberta Chaves Kappaun, Ana Beatriz Nogueira Rubião Graça, Gabriel Benazzi Lavinas Gonçalves, Rodrigo Weber dos Santos, Sara Del Vecchio, Flávia Souza Bastos   +6 more
doaj   +1 more source

Traffic Sign Recognition with Deep Learning: Vegetation Occlusion Detection in Brazilian Environments

Sensors, 2023
Traffic Sign Recognition (TSR) is one of the many utilities made possible by embedded systems with internet connections. Through the usage of vehicular cameras, it’s possible to capture and classify traffic signs in real time with Artificial Intelligence
Vanessa Dalborgo, Thiago B. Murari, Vinicius S. Madureira, João Gabriel L. Moraes, Vitor Magno O. S. Bezerra, Filipe Q. Santos, Alexandre Silva, Roberto L. S. Monteiro   +7 more
doaj   +1 more source

Dynamic properties comparisons between experimental measurements and nondeterministic numerical models of viscoelastic sandwich beams

MATEC Web of Conferences, 2015
In order to design viscoelastic sandwich structures used as passive damping treatment, many aspects should be considered. In all methods available in the literature to model Viscoelastic Materials (VEM) a crucial step is the determination of the complex ...
Felippe Filho W. N., Barbosa F.
doaj   +1 more source

Computational Models of Attention

, 2014
This chapter reviews recent computational models of visual attention. We begin with models for the bottom-up or stimulus-driven guidance of attention to salient visual items, which we examine in seven different broad categories. We then examine more complex models which address the top-down or goal-oriented guidance of attention towards items that are ...
Laurent Itti, Ali Borji
openaire   +2 more sources

360-Degree Tri-Modal Scanning: Engineering a Modular Multi-Sensor Platform for Semantic Enrichment of BIM Models [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Point clouds, image data, and corresponding processing algorithms are intensively investigated to create and enrich Building Information Models (BIM) with as-is information and maintain their value across the building lifecycle.
F. C. Collins, F. Noichl, M. Slepicka, G. Cones, A. Borrmann   +4 more
doaj   +1 more source

On the Identifiability of Relative Permeability and Foam Displacement Parameters in Porous Media Flow

Water Resources Research
This study focuses on analyzing parameter identifiability in foam displacement models during two‐phase flow in porous media, with a particular emphasis on calibrating relative permeability and foam parameters.
L. S. Ribeiro, G. B. Miranda, B. M. Rocha, G. Chapiro, R. Weber dos Santos   +4 more
doaj   +1 more source

Modelling post-chemotherapy stem cell dynamics in the bone marrow niche of AML patients

Scientific Reports
Acute myeloid leukemia (AML) is a stem cell-driven malignancy of the blood forming (hematopoietic) system. Despite of high dose chemotherapy with toxic side effects, many patients eventually relapse.
Chenxu Zhu, Thomas Stiehl
doaj   +1 more source

Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials

Advanced Intelligent Systems
The past few years have seen the development of “universal” machine‐learning interatomic potentials (uMLIPs) capable of approximating the ground‐state potential energy surface across a wide range of chemical structures and compositions with reasonable ...
Sofiia Chorna, Davide Tisi, Cesare Malosso, Wei Bin How, Michele Ceriotti, Sanggyu Chong   +5 more
doaj   +1 more source

Enhancing context awareness in augmented reality environments: a review of opportunities and challenges in object and action recognition through machine learning

Discover Applied Sciences
Augmented reality environments face significant challenges in achieving context and semantic awareness, which are relevant for enhancing user experiences.
Iolanda L. Chamusca, Tiago P. Pagano, Rafael B. Loureiro, Erick G. S. Nascimento, Alex Á. B. Santos, Yiyu Cai, Thiago B. Murari, Ingrid Winkler   +7 more
doaj   +1 more source

Simulation of the Perfusion of Contrast Agent Used in Cardiac Magnetic Resonance: A Step Toward Non-invasive Cardiac Perfusion Quantification

Frontiers in Physiology, 2019
This work presents a new mathematical model to describe cardiac perfusion in the myocardium as acquired by cardiac magnetic resonance (CMR) perfusion exams.
João R. Alves, Rafael A. B. de Queiroz, Markus Bär, Rodrigo W. dos Santos   +3 more
doaj   +1 more source