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Mapping fractional landscape soils and vegetation components from Hyperion satellite imagery using an unsupervised machinelearning workflow

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International Journal of Digital Earth 2018年第7期11卷 670-690页

作者： Michael J.Friedel massimo buscema Luiz Eduardo Vicente Fabio Iwashita Andréa Koga-Vicente Hydrogeology Department GNS ScienceLower HuttNew Zealand Mathematical&Statistical Sciences University of ColoradoDenverCOUSA Semeion Institute RomeItaly Satellite Monitoring Unit Brazilian Corporation of Agricultural Research-EMBRAPACampinasBrazil Earth Sciences Department University of FlorenceFlorenceItaly Center for Meteorological and Climatological Research in Agriculture University of CampinasCampinasBrazil

An unsupervised machine-learning workflow is proposed for estimating fractional landscape soils and vegetation components from remotely sensed hyperspectral *** workflow is applied to EO-1 Hyperion satellite imagery collected near Ibirací,Minas Gerais,*** proposed workflow includes subset feature selection,learning,and estimation *** training with landscape feature class realizations provide a hypersurface from which to estimate mixtures of soil(e.g.0.5 exceedance for pixels:75%clay-rich Nitisols,15%iron-rich Latosols,and 1%quartz-rich Arenosols)and vegetation(e.g.0.5 exceedance for pixels:4%Aspen-like trees,7%Blackberry-like trees,0%live grass,and 2%dead grass).The process correctly maps forests and iron-rich Latosols as being coincident with existing drainages,and correctly classifies the clay-rich Nitisols and grasses on the intervening *** classifications are independently corroborated visually(Google Earth)and quantitatively(random soil samples and crossplots of field spectra).Some mapping challenges are the underestimation of forest fractions and overestimation of soil fractions where steep valley shadows exist,and the under representation of classified grass in some dry areas of the Hyperion *** preliminary results provide impetus for future hyperspectral studies involving airborne and satellite sensors with higher signal-to-noise and smaller footprints.

关键词： Hyperspectral machine learning remote sensing soils and vegetation unsupervised workflow

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Training with Input Selection and Testing (TWIST) Algorithm: A Significant Advance in Pattern Recognition Performance of Machine Learning

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Journal of Intelligent Learning Systems and Applications 2013年第1期5卷 29-38页

作者： massimo buscema Marco Breda Weldon Lodwick Department of Mathematical and Statistical Sciences University of Colorado Denver USA. Semeion Research Center of Sciences of Communication Rome Italy

This article shows the efficacy of TWIST, a methodology for the design of training and testing data subsets extracted from given dataset associated with a problem to be solved via ANNs. The methodology we present is embedded in algorithms and actualized in computer software. Our methodology as implemented in software is compared to the current standard methods of random cross validation: 10-Fold CV, random split into two subsets and the more advanced T&T. For each strategy, 13 learning machines, representing different families of the main algorithms, have been trained and tested. All algorithms were implemented using the well-known WEKA software package. On one hand a falsification test with randomly distributed dependent variable has been used to show how T&T and TWIST behaves as the other two strategies: when there is no information available on the datasets they are equivalent. On the other hand, using the real Statlog (Heart) dataset, a strong difference in accuracy is experimentally proved. Our results show that TWIST is superior to current methods. Pairs of subsets with similar probability density functions are generated, without coding noise, according to an optimal strategy that extracts the most useful information for pattern classification.

关键词： Neural Networks Machine Learning Pattern Recognition Evolutionary Computation

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Artifi cial neural networks in the recognition of the presence of thyroid disease in patients with atrophic body gastritis

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World Journal of Gastroenterology 2008年第4期14卷 563-568页

作者： Edith Lahner Marco Intraligi massimo buscema Marco Centanni Lucy Vannella Enzo Grossi Bruno Annibale Department of Digestive and Liver Disease University "La Sapienza"2nd Medical SchoolOspedale Sant'AndreaRomeItaly Semeion Research Center Rome Italy Endocrinology Unit Department of Experimental Medicine and PathologyUniversity "La Sapienza"Polo PontinoLatinaItaly Bracco Imaging Spa MilanItaly

AIM: To investigate the role of artifi cial neural networks in predicting the presence of thyroid disease in atrophic body gastritis patients. METHODS: A dataset of 29 input variables of 253 atrophic body gastritis patients was applied to artifi cial neural networks (ANNs) using a data optimisation procedure (standard ANNs,T&T-IS protocol,TWIST protocol). The target variable was the presence of thyroid disease. RESULTS: Standard ANNs obtained a mean accuracy of 64.4% with a sensitivity of 69% and a specifi city of 59.8% in recognizing atrophic body gastritis patients with thyroid disease. The optimization procedures (T&T-IS and TWIST protocol) improved the performance of the recognition task yielding a mean accuracy,sensitivity and specifi city of 74.7% and 75.8%,78.8% and 81.8%,and 70.5% and 69.9%,respectively. The increase of sensitivity of the TWIST protocol was statistically signifi cant compared to T&T-IS. CONCLUSION: This study suggests that artificial neural networks may be taken into consideration as a potential clinical decision-support tool for identifying ABG patients at risk for harbouring an unknown thyroid disease and thus requiring diagnostic work-up of their thyroid status.

关键词： Atrophic body gastritis Thyroid disease Artificial neural networks

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Analysis of the COVID-19, Outbreak in Brazil Using Topological Weighted Centroid: An Intelligent Geographic Information System Approach

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Journal of Data Analysis and Information Processing 2024年第2期12卷 248-266页

作者： Masoud Asadi-Zeydabadi Marina Mizukoshi massimo buscema Giulia Massini Weldon Lodwick Department of Physics University of Colorado Denver Colorado USA Institute of Mathematics and Statistics Federal University of Goi&#225s Goiania Goi&#225s Brazil Semeion Research Center Rome Italy Department of Mathematical and Statistical Sciences University of Colorado Denver Colorado USA

This study used Topological Weighted Centroid (TWC) to analyze the Coronavirus outbreak in Brazil. This analysis only uses latitude and longitude in formation of the capitals with the confirmed cases on May 24, 2020 to illustrate the usefulness of TWC though any date could have been used. There are three types of TWC analyses, each type having five associated algorithms that produce fifteen maps, TWC-Original, TWC-Frequency and TWC-Windowing. We focus on TWC-Original to illustrate our approach. The TWC method without using the transportation information predicts the network for COVID-19 outbreak that matches very well with the main radial transportation routes network in Brazil.

关键词： COVID-19 Topological Weighted Centroid (TWC) Algorithms TWC-Original TWC-Frequency and TWC-Windowing

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Possible contribution of artificial neural networks and linear discriminant analysis in recognition of patients with suspected atrophic body gastritis

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World Journal of Gastroenterology 2005年第37期11卷 5867-5873页

作者： Edith Lahner Enzo Grossi Marco Intraligi massimo buscema Vito D Corleto Gianfranco Delle Fave Bruno Annibale Digestive and Liver Disease Unit Ⅱ Medical School Sant' Andrea Hospital University"La Sapienza" Rome Italy Enzo Grossi Bracco Imaging Spa Milan Italy Semeion Research Center Rome Italy

AIM: To investigate whether ANNs and LDA could recognize patients with ABG in a database, containing only clinical and biochemical variables, of a pool of patients with and without ABG, by selecting the most predictive variables and by reducing input data to the ***: Data was collected from 350 consecutive outpatients (263 with ABG, 87 with non-atrophic gastritis and/or celiac disease [controls]). Structured questionnaires with 22 items (anagraphic, anamnestic, clinical, and biochemical data) were filled out for each patient. All patients underwent gastroscopy with biopsies. ANNs and LDA were applied to recognize patients with *** 1: random selection on 37 variables, experiment 2: optimization process on 30 variables, experiment 3:input data reduction on 8 variables, experiment 4: use of only clinical input data on 5 variables, and experiment 5:use of only serological ***: In experiment 1, overall accuracies of ANNs and LDA were 96.6% and 94.6%, respectively, for predicting patients with ABG. In experiment 2, ANNs and LDA reached an overall accuracy of 98.8% and 96.8%,respectively. In experiment 3, overall accuracy of ANNs was 98.4%. In experiment 4, overall accuracies of ANNs and LDA were, respectively, 91.3% and 88.6%. In experiment 5, overall accuracies of ANNs and LDA were,respectively, 97.7% and 94.5%.CONCLUSION: This preliminary study suggests that advanced statistical methods, not only ANNs, but also LDA,may contribute to better address bioptic sampling during gastroscopy in a subset of patients in whom ABG may be suspected on the basis of aspecific gastrointestinal symptoms or non-digestive disorders.

关键词： Atrophic body gastritis Computer-based decision support Gastroscopy Artificial neural networks

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地壳岩浆氧化性和斑岩型铜矿床成矿潜力

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中国科学:地球科学 2025年第1期 227-238页

作者：艾宇民 massimo CHIARADIA 吴超陈华勇中国科学院广州地球化学研究所矿物学与成矿学重点实验室中国科学院大学 Department of Earth Sciences University of Geneva 广东省矿物物理与材料研究开发重点实验室

斑岩型铜矿床是全球铜(Cu)、钼(Mo)和金(Au)资源的主要供应源,其形成过程受到多种地质因素的控制,尤其是岩浆的氧化性是当前研究的焦点.本文综合分析了全球范围内已发表的弧岩浆中钒(V)和钪(Sc)的比值(V/Sc)数据,并收集了V和Sc在矿物和... 详细信息

斑岩型铜矿床是全球铜(Cu)、钼(Mo)和金(Au)资源的主要供应源,其形成过程受到多种地质因素的控制,尤其是岩浆的氧化性是当前研究的焦点.本文综合分析了全球范围内已发表的弧岩浆中钒(V)和钪(Sc)的比值(V/Sc)数据,并收集了V和Sc在矿物和硅酸盐熔体中的分配系数.通过探讨V/Sc比值与岩浆氧逸度(f O2)之间的相关性,评估了不同厚度弧地壳中岩浆的氧化性特征.研究结果表明,磁铁矿的分离结晶是降低残余岩浆的V/Sc比值的关键因素.此外,磁铁矿结晶开始时的镁值(Mg#)与岩浆氧化性呈现显著的正相关性.利用这一规律,进一步评估第四纪弧岩浆的氧化性,发现在地壳厚度超过20km的成熟岛弧和大陆弧中,岩浆随着地壳厚度的增加趋向于更高的氧逸度.这表明在这些环境中,石榴石和角闪石的地壳内分异作用增强了岩浆的氧化性;相比之下,地壳厚度小于20km的薄弧中的岩浆则可能由于更多的俯冲板片氧化性物质输入,展现出比厚弧岩浆更高的氧化性.这些发现表明,俯冲动力学和地壳厚度在决定弧岩浆氧化性及其形成斑岩型铜矿的能力方面起着至关重要的作用.高度氧化的原始弧岩浆由于在岩浆演化的早期阶段经历磁铁矿结晶,从而导致硫化物饱和,这一过程导致铜的早期亏损,因此不利于斑岩型铜矿的形成.相反,在厚弧中磁铁矿结晶被广泛抑制,使硫化物大量饱和出现在岩浆晚期阶段,因此更有利于保留演化岩浆中铜的成矿潜力.本研究深入探讨了地壳内分异作用和俯冲带物质输入对弧岩浆氧化性的双重影响,并基于V/Sc比值变化规律的系统研究,为斑岩型铜矿床的成矿潜力提供了新的地球化学指示.

关键词：岩浆演化 V/Sc变化规律磁铁矿氧逸度斑岩铜矿

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Crustal magma oxidation state and endowments in porphyry copper deposits

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Science China Earth Sciences 2025年第1期 226-236页

作者： Yumin AI massimo CHIARADIA Chao WU Huayong CHEN Key Laboratory of Mineralogy and Metallogeny Guangzhou Institute of Geochemistry Chinese Academy of Sciences University of Chinese Academy of Sciences Department of Earth Sciences University of Geneva Guangdong Provincial Key Laboratory of Mineral Physics and Materials

Porphyry copper deposits（PCDs） supply the majority of the world's copper（Cu） as well as significant amounts of molybdenum（Mo） and gold（Au）. The formation of these deposits is controlled by a variety of geological factors, among which the magmatic oxidation is one of the focuses of current research. This study investigates the redox characteristics of arc magmas by analyzing the ratio of vanadium（V） to scandium（Sc） and its correlation with the oxygen fugacity （fO2） of magmas from arcs of various crustal thicknesses globally. We compiled an extensive dataset of published V/Sc values and studied the partition coefficients of Vand Sc between minerals and silicate melts across various magmatic environments. The results demonstrate that fractional crystallization of magnetite markedly reduces V/Sc values of the residual melt. Furthermore, magnesium number（Mg#） at the onset of magnetite fractionation is strongly positively correlated with fO2of the equilibrium magma. Based on this,the oxidation of arc magmas from different crustal thicknesses can be evaluated. The result suggests that magmas generated in crusts thicker than 20 km tend to be more oxidized with increasing crust thickness. This trend is attributed to enhanced intracrustal differentiation processes involving garnet and amphibole, particularly in mature island and continental arcs. In contrast,magmas in thinner arc crusts（<20 km）, which are significantly influenced by subducted slab materials, display higher oxidation states than most of their thicker crust counterparts. These findings suggest that both subduction dynamics and crustal thickness play a vital role in determining the oxidation state of arc magmas and, consequently, their capacity to generate PCDs. Highly oxidized, primitive arc magmas are less favorable for PCD formation due to that they tend to experience magnetite fractionation and thus sulfide saturation in the early stage of magma evolution, a process leading to copper depletion. On the contra

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Gelation of polymeric nanoparticles

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Particuology 2014年第3期12卷 1-11页

作者： Hua Wu massimo Morbidelli Institute for Chemical and Bioengineering.Department of Chemistry and Applied Biosciences ETH Zurich8093 ZurichSwitzerland

We review how, starting from polymeric nanoparticles, to generate clusters of fractal morphology and to expand the entire space and interconnect to form gels, through either Brownian motion or intense shear-induced aggregation. In the case of Brownian motion-induced gelation, specific techniques developed to obtain uniform structure of gels under both reaction-limited and diffusion-limited cluster aggregation conditions have been described. In the case of intense shear-induced gelation as a newly developed technique, our focus is on its principle, theoretical development and advantages with respect to Brownian motion-induced gelation in practical applications. We consider gelation of both rigid and soft particles. As a physical process, the bonding between the particles within gels is owed to van der Waals attractions, thus being easily broken. However, in the case of soft particles that can coalesce upon contact, the coalescence can allow the particles to stick together forming permanent gels. In this case, the gel structure can be controlled by controlling the degree of coalescence. Techniques used to control the degree of coalescence have also been described.

关键词： Structured material Fractal Gelation Gel Polymer

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HITS hits art

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Blockchain(Research and Applications) 2021年第4期2卷 64-70页

作者： massimo Franceschet Department of Mathematics Computer Science and PhysicsUniversity of UdineVia delle Scienze 206Udine33100Italy

The blockchain art market is partitioned around the roles of artists and collectors and highly concentrated among a few prominent *** hence propose to adapt Kleinberg's authority/hub HITS(Hyperlink-Induced Topic Search)method to rate artists and collectors in the art *** seems a reasonable choice since the original method deftly defines its scores in terms of a mutual recursive relationship between authorities/artists—the miners of information/art,and hubs/collectors—the assemblers of such information/*** evaluated the proposed method on the collector-artist network of SuperRare gallery,the major crypto art *** found that the proposed artist and collector metrics are weakly correlated with other networks science metrics like degree and *** hints at the possibility of coupling different measures in order to profile active users of the gallery and suggests investment strategies with different risk/reward ratios for collectors as well as marketing strategies with different targets for artists.

关键词： Blockchain Non-fungible tokens Crypto art Network science Centrality measures

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Influence of Tectonics and Morphometric Features on the Landslide Distribution: A Case Study from the Mesima Basin (Calabria, South Italy)

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Journal of Earth Science 2020年第2期31卷 393-409页

作者： massimo Conforti Fabio Ietto National Research Council Institute for Agricultural and Forest Systems in the MediterraneanRendeCSItaly University of Calabria Department of BiologyEcology and Earth ScienceArcavacata di RendeCSItaly

Identifying the instability areas provides useful information about the recognition of the vulnerable zones and,thus,helps to potentially decrease the harm to the infrastructure and the hazard conditions in inhabited *** this regard,morphometric parameters and tectonic setting are widely employed in mapping,modelling and understanding of instability *** present study is aimed to analyse the combined effects of slope morphometry(slope gradient,slope curvature,local relief),of lithology,of drainage density and of tectonic setting on the distribution of *** study area is located in the Mesima Basin that lies in the central part of the Calabria region(southern Italy).The morphometric analysis was carried out by geographic information system(GIS)techniques,whereas the geomorphic attributes were computed by a digital elevation model(DEM).The recognized landslides and faults were digitized and stored in a GIS geo-database that allowed the construction of relative density maps.A total of 1991 landslides and 231 tectonic lineaments were recognized and *** distribution of the collected data suggests that the occurrence of landslides is not ***,the research highlights as the lithology,the fault density,the slope gradient and the local relief play an important role in determining the landslide *** used approach is aimed to reinforce the knowledge about the validity of the application of morphometric analysis to the landslide *** Mesima Basin is a poorly studied area of the Calabria from a geomorphological ***,previous researches focused mainly on geological and on tectonic aspects,as well as on instability phenomena in the Mesima ***,this paper takes a step forward with respect to previous studies because it augments the knowledge about the relationship between faults,morphometric features and the occurrence of landslide.

关键词： terrain analysis faults drainage network landslide GIS

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