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  1. No Access

    Chapter

    Precursor to TWC

    A complementary approach to the topological one of TWC is what is called “ Profiling.

    Massimo Buscema, Masoud Asadi-Zeydabadi in The Topological Weighted Centroid: A New V… (2023)

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    Chapter

    Illustrative Examples

    Two simple examples are presented next to further illustrate the TWC algorithms so that a sense of how the algorithms analyze geographic data work. The example of Chap. 3

    Massimo Buscema, Masoud Asadi-Zeydabadi in The Topological Weighted Centroid: A New V… (2023)

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    Chapter

    Introduction

    Topological    (TWC) is a set of algorithms that take a distribution of whose 2- (latitude/longitude)  geographical  are known input data and extracts patterns, dynamics, that is, information.

    Massimo Buscema, Masoud Asadi-Zeydabadi in The Topological Weighted Centroid: A New V… (2023)

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    Chapter

    Appendices—MATLAB Programs

    These appendices contain four of TWC the algorithms (alpha, beta, gamma, theta) written in MATLAB code . The MATLAB code  was used to generate the maps associated with the illustrative examples Chap. . The cod...

    Massimo Buscema, Masoud Asadi-Zeydabadi in The Topological Weighted Centroid: A New V… (2023)

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    Chapter

    TWC Applications

    This section contains a few of the many applications of TWC that have actually been implemented either at the request of a person or as a project from an agency or as a part of a journal publication. A few hav...

    Massimo Buscema, Masoud Asadi-Zeydabadi in The Topological Weighted Centroid: A New V… (2023)

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    Chapter

    The Theory of TWC

    TWC theory consists of several components. This chapter reviews the key elements that make up the theory and the constituent algorithms that are used in TWC. There are theoretical components of TWC, among them...

    Massimo Buscema, Masoud Asadi-Zeydabadi in The Topological Weighted Centroid: A New V… (2023)

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    Chapter

    Advanced TWC Topics

    The previous chapters mentioned two types of analyses, the inclusion of semantic data associated with spatial data and the inclusion of local effects when they are significant so that these are not “washed out...

    Massimo Buscema, Masoud Asadi-Zeydabadi in The Topological Weighted Centroid: A New V… (2023)

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    Book

  9. Article

    Open Access

    Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data

    Reverse Transcription-Polymerase Chain Reaction (RT-PCR) for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) diagnosis currently requires quite a long time span. A quicker and more efficient diagn...

    Thomas Langer, Martina Favarato in Scandinavian Journal of Trauma, Resuscitat… (2020)

  10. Article

    Open Access

    A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI

    Differentiate malignant from benign enhancing foci on breast magnetic resonance imaging (MRI) through radiomic signature.

    Natascha C. D’Amico, Enzo Grossi, Giovanni Valbusa in European Radiology Experimental (2020)

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    Article

    Determinants of metabolic syndrome in obese workers: gender differences in perceived job-related stress and in psychological characteristics identified using artificial neural networks

    The metabolic syndrome (MS) is a multifactorial disorder associated with a higher risk of develo** cardiovascular diseases and type 2 diabetes. However, its pathophysiology and risk factors are still poorly ...

    Luisella Vigna, Amelia Brunani in Eating and Weight Disorders - Studies on A… (2019)

  12. Article

    Open Access

    Polycystic Ovary Syndrome: Implication for Drug Metabolism on Assisted Reproductive Techniques—A Literature Review

    Polycystic ovary syndrome (PCOS) affects 6–10% of women and could be considered one of the most common endocrine alterations in women of reproductive age. The syndrome is characterized by several hormonal and ...

    Enrique Reyes-Muñoz, Thozhukat Sathyapalan, Paola Rossetti in Advances in Therapy (2018)

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    Article

    Endometrial preparation with Dienogest before hysteroscopic surgery: a systematic review

    Hysteroscopic surgery is considered the gold standard for the minimal invasive treatment of many endouterine diseases such as endometrial polyps or submucous myomas. Recently, many studies have evaluated the e...

    Antonio Simone Laganà, Salvatore Giovanni Vitale in Archives of Gynecology and Obstetrics (2017)

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    Article

    Multidimensional Similarities at a Global Scale: An Approach to Map** Open Society Orientations

    This paper analyzes the global geography of open society orientations in the sense of Karl Popper’s notion of open society, by means of a database consisting of five common, public and widely used indicators s...

    Massimo Buscema, Pier Luigi Sacco, Guido Ferilli in Social Indicators Research (2016)

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    Article

    The concept of individual semantic maps in clinical psychology: a feasibility study on a new paradigm

    In this paper we propose a new technology able to map the underlying connection scheme among several psychological variables in a single individual. Nine patients with chronic heart failure underwent at regula...

    Enzo Grossi, Angelo Compare, Massimo Buscema in Quality & Quantity (2014)

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    Article

    Upper GI endoscopy in elderly patients: predictive factors of relevant endoscopic findings

    Elderly patients are at increased risk for peptic ulcer and cancer. Predictive factors of relevant endoscopic findings at upper endoscopy in the elderly are unknown. This was a post hoc analysis of a nationwid...

    Luigi Buri, Angelo Zullo, Cesare Hassan in Internal and Emergency Medicine (2013)

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    Book

    Intelligent Data Mining in Law Enforcement Analytics

    New Neural Networks Applied to Real Problems

    Massimo Buscema, William J. Tastle (2013)

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    Chapter

    Population Algorithm: A New Method of Multi-Dimensional Scaling

    This chapter presents a new algorithm called “Population” that is an efficient and high speed method of performing multi dimensional scaling based only on the calculation of a local fitness. Population is not ...

    Giulia Massini, Stefano Terzi in Data Mining Applications Using Artificial … (2013)

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    Chapter

    Supervised Artificial Neural Networks: Backpropagation Neural Networks

    A technical description of the backpropagation network is presented along with the feedforward backpropagation artificial neural network.

    Massimo Buscema in Intelligent Data Mining in Law Enforcement Analytics (2013)

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    Chapter

    Metaclassifiers

    This chapter describes methods by which data can be classified. There are many methods which purport to classify data, and each one performs the classification in a different manner and typically with differin...

    Massimo Buscema, Stefano Terzi in Intelligent Data Mining in Law Enforcement Analytics (2013)

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