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Developing process parameters for the laser‐based Powder Bed Fusion of metals can be a tedious task. Based on melt pool depth, the process parameters are transferable to different laser scan speeds. For this, understanding the melt pool scaling behavior is essential, particularly for materials with high thermal diffusivity, as a change in scaling ...
Markus Döring+2 more
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Using novel probe‐based metrics, this study evaluates lattice structures on criteria critical to cellular solid optimization. Triply‐periodic minimal surface (TPMS) lattices outperform other lattices, offering more predictable mechanical behavior in complex design spaces and, as a result, higher performance in optimized models.
Firas Breish+2 more
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An Integrated Gaussian Graphical Model to evaluate the impact of exposures on metabolic networks.
Lee JW+7 more
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Unified Graphical Model of High-Frequency Signal Injection Methods for PMSM Sensorless Control
IEEE transactions on industrial electronics (1982. Print), 2020High-frequency (HF) signal injection methods have proved to be good candidates for permanent magnet synchronous motor sensorless control at zero or low speed.
Haoyuan Li+3 more
semanticscholar +1 more source
Neural Probabilistic Graphical Model for Face Sketch Synthesis
IEEE Transactions on Neural Networks and Learning Systems, 2020Neural network learning for face sketch synthesis from photos has attracted substantial attention due to its favorable synthesis performance. However, most existing deep-learning-based face sketch synthesis models stacked only by multiple convolutional ...
Mingjin Zhang+3 more
semanticscholar +1 more source
TABOR: A Graphical Model-based Approach for Anomaly Detection in Industrial Control Systems
ACM Asia Conference on Computer and Communications Security, 2018Industrial Control Systems (ICS) such as water and power are critical to any society. Process anomaly detection mechanisms have been proposed to protect such systems to minimize the risk of damage or loss of resources.
Qin Lin+3 more
semanticscholar +1 more source
A Directed Sparse Graphical Model for Multi-target Tracking
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018We propose a Directed Sparse Graphical Model (DSGM) for multi-target tracking. In the category of global optimization for multi-target tracking, traditional approaches have two main drawbacks.
M. Ullah, F. A. Cheikh
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Model selection and estimation in the Gaussian graphical model
, 2007We propose penalized likelihood methods for estimating the concentration matrix in the Gaussian graphical model. The methods lead to a sparse and shrinkage estimator of the concentration matrix that is positive definite, and thus conduct model selection ...
M. Yuan, Yi Lin
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A Gaussian graphical model approach to climate networks.
Chaos, 2014Distinguishing between direct and indirect connections is essential when interpreting network structures in terms of dynamical interactions and stability. When constructing networks from climate data the nodes are usually defined on a spatial grid.
T. Zerenner+3 more
semanticscholar +1 more source
Mathematical Models of Graphics
Computer Graphics and Image Processing, 1980Publisher Summary This chapter reviews some mathematical models for graphics as data sources and the interplay between these models and coding schemes. Graphics include the following three classes of images: (1) images that are nominally two tone, (2) binary images derived from continuous-tone images, (3) and binary images created in some continuous ...
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