“We thank all the study participants. For technical assistance we thank Kuo Yang and members of the UNC Clinical Trials Unit, the UNC CFAR Immunology Core and the UNC Flow Cytometry Core Facility. This study was supported by NIH grants to the Collaboratory of AIDS Researchers for Eradication (CARE; U19 AI096113) and the UNC Center for AIDS Research (CFAR; P30 AI50410). This research was also su...

The most distinctive characteristic of synthetic aperture radar (SAR) is that it can acquire data under all weather conditions and at all times. However, its coherent imaging mechanism introduces a great deal of speckle noise into SAR images, which makes the segmentation of target and shadow regions in SAR images very difficult. This paper proposes a new SAR image segmentation method based on w...

The detection and tracking of small weak maneuvering radar targets in complex electromagnetic environments is still a difficult problem to effectively solve. To address this problem, paper proposes dynamic programming tracking-before-detection method based on long short-term memory (LSTM) network value function(VL-DP-TBD). With the help estimated posterior probability provided by designed LSTM ...

Abstract Ship detection in synthetic aperture radar (SAR) imagery is an important application the field of marine remote sensing. As most common method ship detection, classical constant false alarm rate (CFAR) methods rely on target-to-clutter contrast and accurate estimates distribution models, making it difficult to adapt complex variable sea surface backgrounds. Considering limitations CFAR...

The problem of detecting defective turned-off elements in antenna arrays from near-field measurements is addressed. In particular, the focus here to reduce number order positively affect acquisition time. Such an issue achieved by adopting recently developed warping sampling method. Two commonly diagnostics methods, i.e, Back Transformation Method (BTM) and Matrix (MM), are considered view this...

Classification based on association rules is considered to be effective and advantageous in many cases. However, there is a so-called "sharp boundary" problem in association rules mining with quantitative attribute domains. This paper aims at proposing an associative classification approach, namely Classification with Fuzzy Association Rules (CFAR), where fuzzy logic is used in partitioning the...

A study on sea oil spills observation by means of polarimetric Synthetic Aperture Radar (SAR) data is accomplished. The polarimetric approach presented in this paper is based on the combined use of a polarimetric Constant False Alarm Rate (CFAR) filter to detect dark patches over SAR images and the Target Decomposition (TD) theorem to provide extra polarimetric features to the decision process....