Results 61 to 70 of about 90,914 (289)
Journal of King Saud University: Computer and Information Sciences, 2023 Spherical signals exist in many applications such as planetary data, lidar scanning and digitization of 3D objects, so we need models that can effectively process spherical data.
Hao Chen, Jieyu Zhao
doaj +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Chinese Journal of Contemporary Neurology and Neurosurgery, 2015 Objective To analyze the training effects of transcranial Doppler (TCD) for brain death determination conducted by Brain Injury Evaluation Quality Control Centre of National Health and Family Planning Commission to optimize the training program and ...
Lin-lin FAN +9 more
doaj
A Systematic Review of Bilateral Upper Limb Training Devices for Poststroke Rehabilitation
Stroke Research and Treatment, 2012 Introduction. In stroke rehabilitation, bilateral upper limb training is gaining ground. As a result, a growing number of mechanical and robotic bilateral upper limb training devices have been proposed. Objective.
A. (Lex) E. Q. van Delden +3 more
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Ranking the whole MEDLINE database according to a large training set using text indexing
BMC Bioinformatics, 2005 Background The MEDLINE database contains over 12 million references to scientific literature, with about 3/4 of recent articles including an abstract of the publication. Retrieval of entries using queries with keywords is useful for human users that need
Andrade Miguel A, Suomela Brian P
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Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics
, 2023 Data-driven modeling approaches can produce fast surrogates to study large-scale physics problems. Among them, graph neural networks (GNNs) that operate on mesh-based data are desirable because they possess inductive biases that promote physical ...
Nguyen, Phan +8 more
core
Morphology, Transport, and Dynamics of Protein Adsorption in Open‐Cell Metal Foam
Advanced Engineering Materials, EarlyView.Stainless steel (SS) open‐cell foams are shown to adsorb more protein per unit area than previously reported 316L SS and chromium oxide surfaces under static and flow conditions. An integrated approach combining 3D pore imaging, flow simulation, and protein adsorption experiments characterizes the foam’s performance.
Chinmaya Prerana Inguva +2 more
wiley +1 more source
Identification of transcription factor contexts in literature using machine learning approaches
BMC Bioinformatics, 2008 Background Availability of information about transcription factors (TFs) is crucial for genome biology, as TFs play a central role in the regulation of gene expression.
Nenadic Goran, Yang Hui, Keane John A
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The Development of Motor Self-Regulation in Ravens
Frontiers in Psychology, 2017 Inhibitory control refers to the ability to stop impulses in favor of more appropriate behavior, and it constitutes one of the underlying cognitive functions associated with cognitive flexibility.
Can Kabadayi, Ivo Jacobs, Mathias Osvath
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Surface‐aware Mesh Texture Synthesis with Pre‐trained 2D CNNs
Computer Graphics ForumAbstractMesh texture synthesis is a key component in the automatic generation of 3D content. Existing learning‐based methods have drawbacks—either by disregarding the shape manifold during texture generation or by requiring a large number of different views to mitigate occlusion‐related inconsistencies.
Áron Samuel Kovács +2 more
openaire +3 more sources