An uncertain graph 𝒢 = (V, E, p : E → (0, 1]) can be viewed as a probability space whose outcomes (referred to possible worlds ) are subgraphs of where any edge e ε occurs with ( ), independently the other edges. These graphs naturally arise in many application domains data management systems required cope uncertainty interrelated data, such computational biology, social network analysis, reliability, and privacy enforcement, among others. For this reason, it is important devise fundamental...

This paper explores the potential of using SAM (Segment-Anything Model) segmentator to enhance segmentation capability known methods. is a promptable system that offers zero-shot generalization unfamiliar objects and images, eliminating need for additional training. The open-source nature allows easy access implementation. In our experiments, we aim improve performance by providing with checkpoints extracted from masks produced mainstream segmentators, then merging provided these two...

Graphics Processing Units (GPUs) exhibit significantly higher peak performance than conventional CPUs. However, in general only highly parallel algorithms can exploit their potential. In this scenario, the iterative solution to sparse linear systems of equations could be carried out quite efficiently on a GPU as it requires matrix-by-vector products, dot and vector updates. really effective, any solver needs properly preconditioned represents major bottleneck for successful implementation....

In the realm of computer vision, semantic segmentation is task recognizing objects in images at pixel level. This done by performing a classification each pixel. The complex and requires sophisticated skills knowledge about context to identify objects’ boundaries. importance many domains undisputed. medical diagnostics, it simplifies early detection pathologies, thus mitigating possible consequences. this work, we provide review literature on deep ensemble learning models for polyp...

This paper explores the potential of using SAM segmentator to enhance segmentation capability known methods. is a promptable system that offers zero-shot generalization unfamiliar objects and images, eliminating need for additional training. The open-source nature on GitHub allows easy access implementation. In our experiments, we aim improve performance by providing with checkpoints extracted from masks produced DeepLabv3+, then merging provided these two networks. Additionally, examine...

The aim of this article is to present and discuss an innovative methodology aimed at accessing digitized copies historical tape music audio documents; the leverages on multimedia multisensory capabilities mobile devices provide unprecedented level fruition. In addition methodology, stemming from it, we actual software application for Android tablet devices. This novel piece was designed developed in a multidisciplinary team involving engineers as well musicians, composers, archivists....

Abstract Electroacoustic music on analog magnetic tape is characterized by several carrier-related specificities that must be considered when creating a copy for digital preservation. The recorder needs to set the correct speed and equalization, could have some intentional or unintentional alterations. During both creation musicological analysis of preservation copy, quality work may affected human inattention. This article presents methodology based neural networks recognize classify...

Digital technology in museum practice provides new means of interaction with artifacts and collections. In particular, we need interactive installations order to encourage stimulate visitors learn understand archaeological musical instruments through engagement active participation: these (i.e., per se ) are de facto unplayable inaccessible visitors, as a consequence their preservation issues. However, presenting the general public is complex task for multifaceted nature, digital must not...

To identify objects in images, a complex set of skills is needed that includes understanding the context and being able to determine borders objects. In computer vision, this task known as semantic segmentation it involves categorizing each pixel an image. It crucial many real-world situations: for autonomous vehicles, enables identification surrounding area; medical diagnosis, enhances ability detect dangerous pathologies early, thereby reducing risk serious consequences. study, we compare...

To identify objects in images, a complex set of skills is needed that includes understanding the context and being able to determine borders objects. In computer vision, this task known as semantic segmentation it involves categorizing each pixel an image. It crucial many real-world situations: for autonomous vehicles, enables identification surrounding area; medical diagnosis, enhances ability detect dangerous pathologies early, thereby reducing risk serious consequences. study, we compare...

We present a general deterministic scheme to implement shared memory abstraction on any distributed-memory machine which exhibits clustered structure. More specifically, we develop distribution strategy and an access protocol for the Decomposable BSP (D-BSP), generic model whose bandwidth/latency parameters can be instantiated closely reflect characteristics of machines that admit hierarchical decomposition into independent clusters. Our achieves provably optimal slowdown those where delays...

In this paper, we present the INFORMA software platform, designed to administer therapy people with a neurocognitive disorder (NCD). The platform includes an app for tablets through which NCD can access, while at home, personalized activities based on pool of twenty multisensory serious games. follow Cognitive Activation Therapy rehabilitation protocol. also web application therapists customize activities, assign them patients, and, thanks telemetry collected by app, monitor their progress....

Besides being one of the most popular forms entertainment among younger generations, video games have been exploited in education for their potential to engage learners. However, a quantitative appraisal mechanisms behind effectiveness is still progress. This paper investigates relation between psychological variables and behavior while playing on mobile devices like smartphones tablets. A implementation Connect 4 game ("Addiction 4") was designed users collecting data background. The app...

This paper presents an ongoing project centered around the mobile application "Listen By Looking", realized with a graphic framework that allow developers to implement video games specific tools for drawing music sheets, piano rolls and dialog windows contextual information. The app is designed entertain teach users by making them listen songs then asking answer questions about melodies musical structures they have learned. has been assessed in laboratory comparing answers of people who used...