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Comparação de algoritmos de aprendizagem por reforço profundo na navegação do robô móvel e desvio de trajetória
(Universidade Federal de Santa MariaBrasilUFSMCentro de Tecnologia, 2022-09-23)
This work presents two Deep Reinforcement Learning (Deep-RL) approaches to enhance the problem of mapless navigation for a terrestrial mobile robot. The methodology focus on comparing a Deep-RL technique based on the Deep ...
The deep plantar arch in humans: constitution and topography
(Springer, 2001-08-01)
The integrity of the various structures within the feet depends on their blood supply. Lesions of the feet often require revascularization, which if successful avoids the need for amputation. To provide greater anatomical ...
Brain Tumor Segmentation and Identification Using Particle Imperialist Deep Convolutional Neural Network in MRI Images
For the past few years, segmentation for medical applications using Magnetic Resonance (MR) images is concentrated. Segmentation of Brain tumors using MRIpaves an effective platform to plan the treatment and diagnosis of ...
DETERMINATION OF THE LENGTH AND PENETRATION OF THE DEEP TEMPORAL NERVES IN THE TEMPORAL MUSCLE
(Sociedad Chilena de Anatomía, 2002)
Deep Learning to Therapeutically Target Unreported Complexes
(Elsevier Science London, 2019-05-21)
The disruption of large protein–protein (PP) interfaces remains a challenge in targeted therapy. Designing drugs that compete with binding partners is daunting, especially when the structure of the protein complex is ...
Reproductive cycle and population structure of the deep-water shrimp Aristeus antillensis A. Milne Edwards & Bouvier, 1909 (Decapoda: Aristeidae) on southeast Brazilian continental slope
(Pontificia Universidad Católica de Valparaíso<BR>Facultad de Recursos Naturales<BR>Escuela de Ciencias del Mar, 2009)
Finite elements numerical solution to deep beams based on layerwise displacement field
(2018-09-01)
This paper proposes a numerical solution to deep beams using the layerwise displacement theory. Most of the methods for performing structural analyses of deep beams have geometric and boundary conditions limitations, as ...
End-to-end deep learning nonrigid motion-corrected reconstruction for highly accelerated free-breathing coronary MRA
(2021)
Purpose: To develop an end-to-end deep learning technique for nonrigid motion-corrected (MoCo) reconstruction of ninefold undersampled free-breathing whole-heart coronary MRA (CMRA).