In this work, we present a novel approach to mass detection in digital mammograms. The great variability of the appearance masses is main obstacle building method. It indeed demanding characterize all varieties with reduced set features. Hence, our have chosen not extract any feature, for region interest; contrast, exploit information available on image. A multiresolution overcomplete wavelet representation performed, order codify image redundancy information. vectors very-large space...

States of volcanic activity at Mt Etna develop in well-defined regimes with variable duration from a few hours to several months. Changes the are usually concurrent variations characteristics tremor, which is continuously recorded as background seismic radiation. This strict relationship useful for monitoring any moment and whatever condition. We investigated development tremor features its relation applying pattern classification techniques. present results supervised unsupervised methods...

Purpose: The authors presented a novel system for automated nodule detection in lung CT exams. Methods: approach is based on (1) tissue segmentation preprocessing step, composed of histogram thresholding, seeded region growing, and mathematical morphology; (2) filtering whose aim the preliminary candidate nodules (via 3D fast radial filtering) estimation their geometrical features scale space analysis); (3) false positive reduction (FPR) comprising heuristic FPR, which applies thresholds...

About one third of all food produced for human consumption is wasted. Along with a lively debate on loss and waste definition quantification, growing attention dedicated to the faceted dimensions consumers’ waste. Drivers, effects, mitigating factors have been mainly studied in isolation, limited paid their interrelationships. This study aims contribute better understanding underlying relationship between causes perception role concern effects factors. The article draws survey submitted 938...

We applied an automatic pattern recognition technique, known as Support Vector Machine (SVM), to classify volcanic tremor data recorded during different states of activity at Etna volcano, Italy. The seismic signal was a station deployed 6 km southeast the summit craters from 1 July 15 August, 2001, time span encompassing episodes lava fountains and 23 day‐long effusive activity. Trained by supervised learning algorithm, classifier learned recognize patterns belonging four classes, i.e.,...

Short food supply chains play a vital role in connecting local producers with consumers, promoting sustainability, supporting economies, and providing access to fresh, high-quality products. However, their market is still underdeveloped due the mismatching between consumer demand producer supply. The aim of this work identify common vision consumers short proposing key actions for an effective business strategy improve alternative systems. at territorial level. strategic long-term foster...

In this work, gray-scale invariant ranklet texture features are proposed for false positive reduction (FPR) in computer-aided detection (CAD) of breast masses. Two main considerations at the basis proposal. First, (FP) marks surviving our previous CAD system seem to be characterized by specific properties that can used discriminate them from Second, achieves invariance linear/nonlinear monotonic transformations encoding regions interest into images through transform, an image transformation...

Regions of interest (ROIs) found on breast radiographic images are classified as either tumoral mass or normal tissue by means a support vector machine classifier. Classification features the coefficients resulting from specific image representation used to encode each ROI. Pixel and wavelet representations have already been discussed in one our previous works. To investigate possibility improving classification performances, novel nonparametric, orientation‐selective, multiresolution is...

The classification of tumoral masses and normal breast tissue is targeted. A mass detection algorithm which does not refer explicitly to shape, border, size, contrast or texture mammographic suspicious regions evaluated. In the present approach, features are embodied by image representation used encode regions. Classification performed means a support vector machine (SVM) classifier. To investigate whether improvements can be achieved with respect previously proposed overcomplete wavelet...

One of the problems in analysis nucleus–nucleus collisions is to get information on value impact parameter b. This work consists application pattern recognition techniques aimed at associating values b groups events. To this end, a support vector machine (SVM) classifier adopted analyse multifragmentation reactions. method allows us backtrace through particular multidimensional analysis. The SVM classification two main phases. In first one, known as training phase, learns discriminate events...

Using an original survey conducted in eight countries 2021 (Canada, China, Germany, Italy, Russia, Spain, the UK, and USA), this study explored relationship between household food waste dietary habits through a cross-country comparative perspective. In total, 8000 questionnaires were recorded from samples representative of adult population each country online 13th 24th August. The developed Waste Watcher International Observatory on Food Sustainability, international social, behavioral,...

We describe a stand‐alone software utility named TREMOrEC, which carries out training and test of Support Vector Machine (SVM) classifier. TREMOrEC is developed in Visual C++ runs under Microsoft Windows operating systems. Ease use short time processing, along with the excellent performance SVM classifier, make this tool ideal for volcano monitoring. The development motivated by successful application classifier to volcanic tremor data recorded at Mount Etna 2001. In that application,...

The ranklet transform is a recently developed image processing technique characterized by multi-resolution and orientation-selective approach similar to that of the wavelet transform. Yet, differently from latter, it deals with pixels' ranks rather than their gray-level intensity values. In this work, coefficients resulting application regions interest (ROIs) found on breast radiographic images are used as classification features determine whether ROIs contain mass or normal tissue....

Starting from an original survey conducted in eight countries 2021 (Canada, China, Germany, Italy, Russia, Spain, UK, and USA), this research explores the relationship between household food waste dietary habits a cross-country comparative perspective. 8,000 questionnaires were recorded samples representative of adult population each country through online 13th 24th August. The built on work Waste Watcher International Observatory Food Sustainability, international observatory social,...