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Papers in (Sub-)Surface Sensing Technologies and Systems

(Sub-)Surface Sensing Technologies and Systems papers in Electrical and Electronic Engineering, H

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Papers 1 - 20 of 96 in (Sub-)Surface Sensing Technologies and Systems, H
  1. For years scientists turned to the CRC Handbook of Laser Science & Technology for reliable data on optical materials. Out of print for several years, that standard-setting work now has a successor: the Handbook of Optical Materials. This new…
  2. In the first part of this article, a comprehensive literature review on hard multilayer coatings, which contain TiN and/or ZrN as a component is given. The developments made in this field, starting with the first published results in 1987 and ending…
  3. Graph-based methods for semi-supervised learn- ing have recently been shown to be promising for combining labeled and unlabeled data in classifi- cation problems. However, inference for graph- based methods often does not scale well to very large…
  4. The Hartman interferometer, a proprietary integrated optic sensor, provides a basis for a broad range of biomedical diagnostics, including antibody-based and gene probe-based assays. As with other evanescent-wave optical sensors, the interferometer…
  5. In this paper, we propose a novel wearable sensor device for the measurement of the head orientation and relative position against the body trunk in real-time. It is known that in natural walking, human locomotion is preceded by changes in head…
  6. Several skeletal muscles can be divided into sub-modules, called neuromuscular compartments (NMCs), which are thought to be controlled independently and to have distinct biomechanical functions. We looked for distinct muscle activation patterns in…
  7. We present a discriminative latent variable model for classification problems in structured domains where inputs can be represented by a graph of local observations. A hidden-state Conditional Random Field framework learns a set of latent variables…
  8. As an extension to the popular hidden Markov model (HMM), a hidden semi-Markov model (HSMM) allows the underlying stochastic process to be a semi-Markov chain. Each state has variable duration and a number of observations being produced while in the…
  9. Diffuse optical tomography (DOT) is a non-invasive brain imaging technique that uses low-levels of near-infrared light to measure optical absorption changes due to regional blood flow and blood oxygen saturation in the brain. By arranging light…
  10. This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gaussian noise. Our hierarchical Bayes model is well suited to such…
  11. Statistical anomaly detection typically focuses on finding individual point anomalies. Often the most interesting or unusual things in a data set are not odd individual points, but rather larger scale phenomena that only become apparent when groups…
  12. Polyaniline (PANI)/epoxy composites with different polyaniline (PANI) contents were successfully developed by in situ polymerization of aniline salt protonated with camphorsulfonic acid within epoxy matrices and fully characterized. The influence of…
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