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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Provides an abstract for each of the presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
In harsh remote sensing (RS) scenarios, reconstructive processing of the low resolution RS imagery is complicated due to the uncertainties attributed to uncontrolled multiplicative perturbations in the imaging system operators and unknown data and noise statistics. In this study, we address a new feature enhanced reconstructive RS image post processing approach that incorporates into the previously...
This work is based on the robust unified approach for fractional synthetic aperture radar (SAR) imagery feature enhancement via the descriptive experiment design regularization-total variation (DEDR-TV) technique. We present a new DEDR-TV methodology behavioral study, modifying the weighting factors balanced scheme, with the objetive of maximizing the isotropic and anisotropic characteristics used...
In this paper, we compare the performance of brain-computer interfaces (BCIs) when different feedback modalities are used. In particular, we study the effects of auditory or vibrotactile feedback when presented to reinforce the users' performance (positive feedback) or to correct a poor achievement in controlling the BCI (negative feedback). Then, the performance of different possible combinations...
We address a new change detection/reconstruction fused Neural Network (NN) computing oriented approach for the conventional low resolution Remote Sensing (RS) radar and/or fractional Synthetic Aperture Radar (SAR) imagery enhancement. The collaborative considerations involve the user-controllable regularization degrees of freedom adaptive adjustment in two particular RS image formation schemes. First,...
Among the contrast-enhancement methods, histogram equalization is the most popular. However, its major drawback is that it over-enhances the image and shifts its mean brightness and, consequently, it creates an unnatural look. In this paper, we propose a method that overcomes this problem by splitting the image histogram into two sub-histograms, using the mean as a threshold, and replacing their cumulative...
The GPU usage has increased in the high performance computing applications. However, still programming tools required to facilitate the development of programs for GPUs. It is well known that the loops in sequential programs are potential sources of parallelization. Three types of FOR-loops have been identified that can be mapped to CUDA kernel: single loops, nested loops and loops involving reduction...
Learning Management Systems (LMS) have acquired importance in schools and business training. The increase in the use of mobile devices has led to many users attempting to access LMS from devices for which these systems and their contents were not designed. Also, mobile devices contain various features in their interaction media and there are no standards for these. This variety of features changes...
In this paper we propose a vision algorithm to object recognition during a mobile robot's journey in a controlled environment. Furthermore, another algorithm was used to drawing the path of the robot, which is based on the evaluation of a vision algorithm to provide results. The first algorithm uses color processing techniques to achieve an image thresholding and a Harris corner detector to recognize...
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