1,721,250 research outputs found
A Proposal for a Probabilistic Approach to the Study of Crack Initiation and Propagation in WFD Conditions
No full textThe advertisements of Dietary Supplement in a panel of 6 Italian magazines: a quantitative analysis
Full text linkXAI approach for addressing the dataset shift problem: BCI as a case study
No full textIn the Machine Learning (ML) literature, a well-known problem is the Dataset Shift problem where, differently from the ML standard hypothesis, the data in the training and test sets can follow different probability distributions leading ML systems toward poor generalisation performances. Therefore, such systems can be unreliable and risky, particularly when used in safety-critical domains. This problem is intensely felt in the Brain-Computer Interface (BCI) context, where bio-signals as Electroencephalographic (EEG) are used. In fact, EEG signals are highly non-stationary signals both over time and between different subjects. Despite several efforts in developing BCI systems to deal with different acquisition times or subjects, performance in many BCI applications remains low. Exploiting the knowledge from eXplainable Artificial Intelligence (XAI) methods can help develop EEG-based AI approaches, overcoming the performance returned by the current ones. The proposed framework will give greater robustness and reliability to BCI systems with respect to the current state of the art, alleviating the dataset shift problem and allowing a BCI system to be used by different subjects at different times without the need for further calibration/training stages
Applicazione delle Tecniche Affidabilistiche alla Durability Analysis in Campo Aeronautico
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A software tool for the correction of infrared images for fusion applications
No full textInfrared (IR) thermal cameras are often used to measure surfaces temperature and heat loads in environments with extreme operating conditions. IR devices had always revealed to be useful in nuclear fusion experiments, especially to monitor the thermal behavior of plasma-facing components (PFCs). The main drawback in using IR thermography relies on the fact that measurements are always affected by an error due to the different emissivity of the materials pointed by the IR camera with respect to the ideal black body. As a consequence, an image processing stage is required in order to correct raw data. Furthermore, in the specific conditions at which PFCs operate, unwanted phenomena, such as oxidation, deviates the actual emissivity values from the tabulated ones. Therefore, specific strategies to cope with these issues must be developed. In Frascati Tokamak Upgrade (FTU), two cooled liquid metal limiter devices have been investigated: a cooled liquid lithium limiter (CLL) and a liquid tin limiter (TLL). In this paper, we introduce a software tool for the automatic correction of the emissivity error exploiting a-priori knowledge on the specific metal. The output of the procedure is the definition of suitable correction maps based on the detection of the metal melting point. © 2017 IOP Publishing Ltd
I tumori in provincia di Salerno 2002-2003
No full textMonografia sui dati di incidenza e sopravvivenza dei tumori nella provincia di Salerno
Improving face recognition in low quality video sequences: Single frame vs multi-frame super-resolution
No full textRe-Identification aims to detect the presence of a subject spotted in one video in other videos. Traditional methods use information extracted from single frames like color, clothes, etc. A sequence in time domain of consecutive subject images could contain a greater amount of information compared with a single image of the same subject. Typically, these sequences are taken from surveillance cameras at very poor resolution. Even with modern cameras the resolution can be a problem when dealing with a subject who is far from the camera. A possible way of handling low resolution images is by using a multi-frame super-resolution algorithm. Multi-frame super-resolution image reconstruction aims at obtaining a high-resolution image by fusing a set of low-resolution images. Low-resolution images are usually subject to some degradation which causes substantial information loss. Therefore, contiguous images in a sequence could be viewed as a degraded version (SR image) of an image at higher resolution (HR image). Using a multi-frame SR algorithm could achieve a restoration of the HR image. This work aims to investigate the possibility of using a multi-frame super-resolution algorithm to enhance the performance of a classic re-identification system by exploiting information provided by video sequences made available by a video surveillance system. In the case that the SR technique employed results in an effective performance enhancement, we intend to show empirically how many match frames are required to have an effective improvement
Proposed design platform for intensive structural computational analysis
No full textESMC- 7th EUROMECH Solid Mechanics Conference – Lisbona 7-11 Settembre 2009 (Riassunto esteso
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