New types of patient health records aim to help physicians shift from a medical practice, often based on their personal experience, towards one evidence medicine, thus improving the communication among patients and care providers increasing availability information. These new records, allowing share data clinical information, access them whenever they need, can be considered enabling Ambient Assisted Living technologies. Furthermore, disease monitoring tools support specialists in tasks, as...

An international association advancing the multidisciplinary study of informing systems. Founded in 1998, Informing Science Institute (ISI) is a global community academics shaping future science.

In traditional notarization processes, the correctness of activities between parties is guaranteed by a central authority or guaranteeing institution. this case, not able to quickly establish originality content be notarized, at least have large degree certainty without use automated systems. This paper presents new platform that uses blockchain technology and integrates advanced anti-plagiarism approaches effectively detect copyright violations documents users want notarize. addition, our...

Abstract This study establishes a correlation between computer science and psychology, specifically focusing on the incorporation of smartphone sensors users' personality index. A limited number state-of-the-art approaches have considered these factors, while no existing dataset currently encompasses this correlation. In study, an Android application was developed to implement questionnaire bullying cyberbullying, using predict Personal Index. Sensor data are collected in “ UNIBA HAR Dataset...

This benchmarking study aims to examine and discuss the current state-of-the-art techniques for in-video violence detection, also provide results as a reference future accuracy baseline of detection systems. In this paper, authors review 11 detection. They re-implement five carefully chosen over three different publicly available datasets, using several classifiers, all in same conditions. The main contribution work is compare feature-based modern deep-learning techniques, such Inception V3.

Practitioners must continually update their skills to align professional profile market needs and social organizations in which they live, both characterized by extreme variability volatility. In this scenario, Universities, the traditional Institution for knowledge transferring, assume role of an institution dedicated lifelong learning. However learning highlights several issues that make it unsuitable university instructional models. In order face problem authors propose use a Learning...

This work belongs to a project in support of the semantic Web standard. The aim is give an ontological for creation e-learning courses. will make selection learning objects according descriptors and heterogeneous contexts, by means selective agent didactic courses customized on user's preferences. also apply knowledge management systems where time answer informative need very critical aspect efficiency whole system

This work proposes a new approach for recommendation system that uses mixture of crisp and fuzzy sets quantitative qualitative features to improve suggests. In Business-to-Consumer (B2C) models, the identification classes similarity between users is crucial systems. fact, systems use derive "guidelines" aimed at suggestion products. Unfortunately, when association rules are used algorithms, strong limitation descends from set "crisp", which product can only belong group or not. Fuzzy be...

This paper presents a framework aimed at supporting knowledge transferring inside and outside an organization for innovation purposes. For this goal, the authors propose Knowledge Experience Base (KEB), which collects Packages (KEP), to support formalization packaging of experience stakeholders, encouraging gradual explanation tacit information bearers facilitate transfer, minimizing costs risks.

This study proposes a novel forgery detection method based on the analysis of frequency components images using Discrete Fourier Transform (DFT). In recent years, face manipulation technologies, particularly Generative Adversarial Networks (GANs), have advanced to such an extent that their misuse, as creating deepfakes indistinguishable human observers, has become significant societal concern. We reviewed two GAN architectures, StyleGAN and StyleGAN2, generating synthetic faces were compared...

In 2005, the Italian Ministry of University, has granted a financing to University Bari for planning and development project "Advanced services e-learning in Pug Ha". The research group focused necessary resources following direct approach, integrating goals determined an academic environment with fundamental criteria integration "ICT tools" higher education. needed careful evaluation relationship between quality, performances costs. This paper shows reasons methodology used fit systems...

The aim of the paper is to highlight categorical methods' potential application which could be useful when drawing companies marketing strategies. Multivariate statistical techniques have always been used for quantitative analysis in decision support systems (MDSS), nevertheless, Big data now provide numerous qualitative variables whose processing requires use methods. Dealing with research, we carried out a Multiple Correspondences Analysis show how investigate intricate relations among...

The Learner Centered Design (LCD) guarantees efficiency, effectiveness and customer satisfaction avoiding that the learning environment becomes frustrating offering quality to IT support together with low cost evaluation parameters. In academic industrial environments heuristic analysis based upon checklist is a diffused method analyze LCD adequacy criteria. The usability of interfaces has relevant role. Fitts’ law model human behavior prediction times for pointing target. It can be used...

In this extended version of paper, an automatic video diagnosis system for dementia classification is presented. Starting from recordings patients and control subjects, performing sit-to-stand test, the designed capable extracting relevant patterns binary discern with healthy subjects. The original achieved accuracy 0.808 by using rigorous inter-patient separation scheme especially suited medical purposes. This provides use some people training others, different, testing. implementation...

This work considers the Internet of Things (IoT) and machine learning (ML) applied to agricultural sector within a real-working scenario. More specifically, aim is punctually forecast two most important meteorological parameters (solar radiation rainfall) determine amount water needed by specific plantation under different contour conditions. Three state-of-the-art ML approaches, coupled with boosting techniques, have been adopted compared obtain hourly forecasting. Real-working conditions...

The transfer of research results into production systems requires, among other things, to make these explicit and understandable for stakeholders. Many researchers have been studying means favour knowledge acquisition on the behalf stakeholders using not only scientific papers. In fact, papers limitations in transferability reusability owing to: size that do permit all necessary be exploited; structure contents heterogeneity could cause conflicts; redundancy incoherence between dealing with...