Modelling and Simulation in Science : Proceedings of the 6th International Workshop on Data Analysis in Astronomy «Livio Scarsi».

By: Di Gesu`, VContributor(s): Lo Bosco, Giosue` | Maccarone, Maria Concetta | Scarsi, LMaterial type: TextTextSeries: The Science and Culture Series - Astrophysics SerPublisher: Singapore : World Scientific Publishing Co Pte Ltd, 2007Copyright date: ©2007Description: 1 online resource (352 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9789812779458Subject(s): Astronomy -- Computer simulation -- Congresses | Astronomy -- Data processing -- CongressesGenre/Form: Electronic books.Additional physical formats: Print version:: Modelling and Simulation in Science : Proceedings of the 6th International Workshop on Data Analysis in Astronomy «Livio Scarsi»DDC classification: 522.8 LOC classification: QB51.3.E43I58 2007Online resources: Click to View
Contents:
Intro -- CONTENTS -- Workshop photographs -- Organizing Committees -- Preface -- Memory of Livio Scarsi -- Part A - Astrophysics, Cosmology and Earth Physics -- Simulations for UHE Cosmic Ray Experiments J. Knapp -- 1. Cosmic Rays and Air Showers -- 2. The Pierre Auger Observatory -- 3. Simulations versus Models -- 4. Air Shower Simulations and the CORSIKA Program -- 5. Some Selected Details -- 6. Outlook -- Acknowledgement -- References -- Detector Modeling in Astroparticle Physics S. Petrera -- 1. Introduction -- 2. MACRO as a ν detector -- 2.1. Atmospheric neutrinos and their oscillation -- 2.2. Physics and detector simulation -- 2.3. Data interpretation -- 3. Cosmic Rays studies with the Pierre Auger experiment -- 3.1. The detector simulation -- 3.2. The Surface Detector -- 3.3. The Fluorescence Detector -- 3.4. Hybrid events -- References -- Simulating a Large Cosmic Ray Experiment: The Pierre Auger Observatory T. Paul -- 1. Introduction -- 2. The Pierre Auger Observatory -- 3. Software Framework -- 4. Detector Simulation -- 4.1. Surface array -- 4.1.1. Water tank simulation -- 4.2. Fluorescence telescopes -- 5. Conclusions -- 6. Acknowledgments -- References -- Testing of Cosmic Ray Interaction Models at LHC Collider P. Neˇcesal, J. ˇR ídký -- 1. Introduction -- 2. Comparison of Models -- 3. Conclusions -- References -- Observations, Simulations, and Modeling of Space Plasma Waves: A Perspective on Space Weather V. S. Sonwalkar -- 1. Introduction -- 2. Atmosphere-Ionosphere-Magnetosphere System and its Solar Drivers -- 3. Plasma Waves -- 3.1. Observations of plasma waves -- 3.2. Generation and propagation of plasma waves -- 3.3. Modeling and simulations of plasma waves -- 3.4. Contribution of plasma waves to space weather: wave-particle interactions -- 3.5. Monitoring space weather using plasma waves -- 4. Concluding Remarks.
Acknowledgments -- References -- Electron Flux Maps of Solar Flares: A Regularization Approach to Rhessi Imaging Spectroscopy A. M. Massone, M. Piana, M. Prato, A. G. Emslie, G. J. Hurford, E. P. Kontar, R. A. Scwartz -- 1. Introduction -- 2. Visibilities -- 3. Electron Flux Spectrum Images -- 4. Application to RHESSI Data -- 5. Conclusions -- References -- Problems and Solutions in Climate Modeling A. Sutera -- 1. Introduction -- 2. The Equations of Motion -- 3. Parameter Settings and Numerical Solutions -- 4. An Heuristic Model -- 5. Conclusions -- Acknowledgments -- References -- Numerical Simulations and Diagnostics in Astrophysics: A few Magnetohydrodynamics Examples G. Peres, R. Bonito, S. Orlando, F. Reale -- 1. Introduction -- 2. Supernovae Remnants -- 3. Protostellar Jets -- 4. Conclusions -- 5. Acknowledgements -- References -- Numerical Simulations of Multi-Scale Astrophysical Problems: The example of Type Ia Supernovae F. K. Röpke -- 1. Introduction -- 2. Astrophysical Model -- 3. Challenges -- 4. Governing Equations -- 5. Modeling Approaches -- 6. Numerical Methods -- 7. Three-dimensional Type Ia Supernova Simulations -- References -- Numerical Simulations in Astropysics: From the Stellar Jets to the White Dwarfs F. Rubini, L. Delzanna, J. A. Biello, J. W. Truran -- 1. The Origin of the Optical Knots in Stellar Jets -- 1.1. Observations, physical model and numerical simulations -- 1.2. Results and comments -- 2. Numerical Simulations of pre-runaway CO White Dwarfs -- 2.1. Physical models, numerical tools and FAQ -- 2.2. Results -- 2.3. The small Rayleigh number case -- 2.4. The large Rayleigh number case -- 3. Conclusions -- Acknowledgments -- References -- Statistical Analysis of Quasar Data and Validity of the Hubble Law S. Roy, J. Ghosh, M. Roy, M. Kafatos -- 1. Introduction.
2. Statistical Analysis of Data from the V-C(2006) and SDSS Quasar Catalogues -- 2.1. Truncation relationship -- 2.2. Permutation tests of independence -- 3. Possible Implications and Discussion -- References -- Non-Parametric Tests for Quasar Data and Hubble Diagram S. Roy, D. Datta, J. Ghosh, M. Roy, M. Kafatos -- 1. Introduction -- 2. Statistical Analysis of Quasar Data from Véron-Cetty Catalogues -- 2.1. Truncation Relationship -- 2.2. Permutation Tests of Independence -- 3. Regression analysis of Data and Hubble Law -- 4. Possible Cosmological Implications -- References -- Doping: A New Non-Parametric Deprojection Scheme D. Chakrabarty, L. Ferrarese -- 1. Introduction -- 2. Method -- 3. Tests -- 4. Applications -- 5. 3-D Morphology of Galaxy Clusters -- 6. Summary -- References -- Quantum Astronomy and Information C. Barbieri -- 1. Introduction -- 2. Properties of Light in Astronomical Observations -- 3. The Intensity Interferometer -- 4. Intensity-Correlation Spectroscopy -- 5. Approaching the Heisenberg Limit: High Time Resolution Astrophysics -- 6. Ultimate Data Rates -- 7. Conclusions -- Acknowledgments -- References -- Mining the Structure of the Nearby Universe R. D'Abrusco, G. Longo, M. Brescia, E. De Filippis, M. Paolillo, A. Staiano, R. Tagliaferri -- 1. Introduction -- 2. Supervised and Unsupervised Methods -- 3. Photometric Redshifts for the SDSS Galaxies -- 3.1. Dataset and base of knowledge -- 3.2. Features selection -- 4. Steps Towards a Photometric Classi.cation of Galaxies -- Acknowledgments -- References -- Numerical Characterization of the Observed Point Spread Function of the VST Wide-Field Telescope G. Sedmak, S. Carrozza, G. Marra -- 1. Introduction -- 2. Simulation of the Atmospheric Seeing -- 3. Simulation of the Observed Point Spread Function -- 4. Mapping the Point Spread Function over the Field of View -- 5. Results.
6. Conclusions -- Acknowledgments -- References -- Part B - Biology, Biochemistry and Bioinformatics -- From Genomes to Protein Models and Back A. Tramontano, A. Giorgetti, M. Orsini, D. Raimondo -- 1. Introduction -- 1.1. The ENCODE project -- 1.2. The BioSapiens consortium -- 1.3. Protein structure prediction -- 1.4. The prediction of the structures of the GENCODE gene products -- 2. Results -- 3. Discussion -- Acknowledgments -- References -- Exploring Biomolecular Recognition by Modeling and Simulation R. Wade -- Acknowledgments -- References -- From Allergen Back to Antigen: A Rational Approach to New Forms of Immunotherapy P. Colombo, A. Trapani, D. Geraci, M. Golino, F. Gianguzza, A. Bonura -- 1. Introduction -- 2. Experimental Results -- 3. Conclusions -- References -- Sulfonylureas and Glinidies as New PPARγ Agonists: Virtual Screening and Biological Assays M. Scarsi, M. Podvinec, A. Roth, H. Hug, S. Kersten, H. Albrecht, T. Schwede, U. A. Meyer, C. Rücker -- 1. Introduction -- 2. Materials and Methods -- 3. Results -- 4. Discussion -- References -- A Multi-Layer Model to Study Genome-Scale Positions of Nucleosomes V. Di Gesú, G. Lo Bosco, L. Pinello, D. Corona, M. Collesano, G.-C. Yuan -- 1. Introduction -- 2. Multi-Layers Model -- 3. MLM validation -- 3.1. Synthetic data generation -- 3.2. Experimental results -- 4. Final remarks -- References -- BioInfogrid: BioInformatics Simulation and Modeling Based on Grid L. Milanesi -- 1. The GRID Bioinformatics Platform -- 1.1. Introduction -- 1.2. BioinfoGRID project -- 2. Methodology -- 2.1. Technology description -- 2.2. GRID database applications example -- 2.3. GRID large scale in silico docking application on avian .u -- 2.4. GRID based microarray expression pro.ling analysis -- 2.5. GRID based system biology model simulator -- 3. Conclusion -- Acknowledgments -- References.
Geometrical and Topological Modelling of Supercoiling in Supramolecular Structures L. Boi -- 1. The topological compaction of the double-helix molecule into the chromatin and the role of supercoiling -- 2. A mathematical model for explaining the interphase folding of chromatin .ber -- 3. Biological justi.cations for the model above -- 4. Conclusions and prospects -- References -- Part C - Methods and Techniques -- Optimisation Strategies for Modelling and Simulation J. Louchet -- 1. Exploring Parameter Spaces using Evolutionary Programming -- 2. Retrieving Patterns: following the Hough Transform -- 3. From Phenomena to Processes: Identifying Internal Parameters -- 4. Parisian Evolution or How To Split Optimisation: The Fly Algorithm -- 5. Conclusion -- References -- Modeling Complexity using Hierarchical Multi-Agent Systems J.-C. Heudin -- 1. Introduction -- 2. The Approach -- 3. Hierarchical Multi-agent Systems -- 4. Virtual Ecosystem Example -- 4.1. Overview -- 4.2. The hierarchical model -- 4.2.1. level 1 -- 4.2.2. level 2 -- 4.2.3. level 3 -- 4.3. Experimental results -- 4.4. Discussion -- 5. Cosmological Example -- 5.1. Overview -- 5.2. The hierarchical model -- 5.2.1. Level 1 -- 5.2.2. Level 2 -- 5.2.3. Level 3 -- 5.2.4. Level 4 -- 5.3. Experimental results -- 6. Discussion -- 7. Conclusion -- References -- Topological Approaches to Search and Matching in Massive Data Sets F. Murtagh -- 1. Introduction -- 2. Quantifying Degree of Ultrametricity -- 3. Ultrametricity and Dimensionality -- 3.1. Distance properties in very sparse spaces -- 3.2. No "curse of dimensionality" in very high dimensions -- 4. Increasing Ultrametricity Through Data Recoding: Ultrametricity of Time Series -- 5. Fast Clustering through Baire Space Embedding -- 6. Conclusions -- References.
Data Mining: Computational Theory of Perceptions and Rough-Fuzzy Granular Computing S. K. Pal.
Summary: This proceedings volume contains results presented at the Sixth International Workshop on Data Analysis in Astronomy - "Modeling and Simulation in Science" held on April 15-22, 2007, at the Ettore Majorana Foundation and Center for Scientific Culture, Erice, Italy. Recent progress and new trends in the field of simulation and modeling in three branches of science - astrophysics, biology, and climatology - are described in papers presented by outstanding scientists. The impact of new technologies on the design of novel data analysis systems and the interrelation among different fields are foremost in scientists' minds in the modern era. This book therefore focuses primarily on data analysis methodologies and techniques. Sample Chapter(s). Chapter 1: Simulations for Uhe Cosmic Ray Experiments (562 KB). Contents: Astrophysics, Cosmology and Earth Physics: Simulations for UHE Cosmic Ray Experiments (J Knapp); Problems and Solutions in Climate Modeling (A Sutera); Statistical Analysis of Quasar Data and Validity of the Hubble Law (S Roy et al.); Quantum Astronomy and Information (C Barbieri); Biology, Biochemistry and Bioinformatics: From Genomes to Protein Models and Back (A Tramontano et al.); Exploring Biomolecular Recognition by Modeling and Simulation (R Wade); BioInfogrid: Bioinformatics Simulation and Modeling Based on Grid (L Milanesi); Methods and Techniques: Optimization Strategies for Modeling and Simulation (J Louchet); Biclustering Bioinformatics Data Sets: A Possibilistic Approach (F Masulli); From the Qubit to the Quantum Search Algorithms (G Cariolaro & T Occhipinti); Comparison of Stereo Vision Techniques for Cloud-Top Height Retrieval (A Anzalone et al.); and other papers. Readership: Physicists; biologists; computer scientists and data analysts.
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Intro -- CONTENTS -- Workshop photographs -- Organizing Committees -- Preface -- Memory of Livio Scarsi -- Part A - Astrophysics, Cosmology and Earth Physics -- Simulations for UHE Cosmic Ray Experiments J. Knapp -- 1. Cosmic Rays and Air Showers -- 2. The Pierre Auger Observatory -- 3. Simulations versus Models -- 4. Air Shower Simulations and the CORSIKA Program -- 5. Some Selected Details -- 6. Outlook -- Acknowledgement -- References -- Detector Modeling in Astroparticle Physics S. Petrera -- 1. Introduction -- 2. MACRO as a ν detector -- 2.1. Atmospheric neutrinos and their oscillation -- 2.2. Physics and detector simulation -- 2.3. Data interpretation -- 3. Cosmic Rays studies with the Pierre Auger experiment -- 3.1. The detector simulation -- 3.2. The Surface Detector -- 3.3. The Fluorescence Detector -- 3.4. Hybrid events -- References -- Simulating a Large Cosmic Ray Experiment: The Pierre Auger Observatory T. Paul -- 1. Introduction -- 2. The Pierre Auger Observatory -- 3. Software Framework -- 4. Detector Simulation -- 4.1. Surface array -- 4.1.1. Water tank simulation -- 4.2. Fluorescence telescopes -- 5. Conclusions -- 6. Acknowledgments -- References -- Testing of Cosmic Ray Interaction Models at LHC Collider P. Neˇcesal, J. ˇR ídký -- 1. Introduction -- 2. Comparison of Models -- 3. Conclusions -- References -- Observations, Simulations, and Modeling of Space Plasma Waves: A Perspective on Space Weather V. S. Sonwalkar -- 1. Introduction -- 2. Atmosphere-Ionosphere-Magnetosphere System and its Solar Drivers -- 3. Plasma Waves -- 3.1. Observations of plasma waves -- 3.2. Generation and propagation of plasma waves -- 3.3. Modeling and simulations of plasma waves -- 3.4. Contribution of plasma waves to space weather: wave-particle interactions -- 3.5. Monitoring space weather using plasma waves -- 4. Concluding Remarks.

Acknowledgments -- References -- Electron Flux Maps of Solar Flares: A Regularization Approach to Rhessi Imaging Spectroscopy A. M. Massone, M. Piana, M. Prato, A. G. Emslie, G. J. Hurford, E. P. Kontar, R. A. Scwartz -- 1. Introduction -- 2. Visibilities -- 3. Electron Flux Spectrum Images -- 4. Application to RHESSI Data -- 5. Conclusions -- References -- Problems and Solutions in Climate Modeling A. Sutera -- 1. Introduction -- 2. The Equations of Motion -- 3. Parameter Settings and Numerical Solutions -- 4. An Heuristic Model -- 5. Conclusions -- Acknowledgments -- References -- Numerical Simulations and Diagnostics in Astrophysics: A few Magnetohydrodynamics Examples G. Peres, R. Bonito, S. Orlando, F. Reale -- 1. Introduction -- 2. Supernovae Remnants -- 3. Protostellar Jets -- 4. Conclusions -- 5. Acknowledgements -- References -- Numerical Simulations of Multi-Scale Astrophysical Problems: The example of Type Ia Supernovae F. K. Röpke -- 1. Introduction -- 2. Astrophysical Model -- 3. Challenges -- 4. Governing Equations -- 5. Modeling Approaches -- 6. Numerical Methods -- 7. Three-dimensional Type Ia Supernova Simulations -- References -- Numerical Simulations in Astropysics: From the Stellar Jets to the White Dwarfs F. Rubini, L. Delzanna, J. A. Biello, J. W. Truran -- 1. The Origin of the Optical Knots in Stellar Jets -- 1.1. Observations, physical model and numerical simulations -- 1.2. Results and comments -- 2. Numerical Simulations of pre-runaway CO White Dwarfs -- 2.1. Physical models, numerical tools and FAQ -- 2.2. Results -- 2.3. The small Rayleigh number case -- 2.4. The large Rayleigh number case -- 3. Conclusions -- Acknowledgments -- References -- Statistical Analysis of Quasar Data and Validity of the Hubble Law S. Roy, J. Ghosh, M. Roy, M. Kafatos -- 1. Introduction.

2. Statistical Analysis of Data from the V-C(2006) and SDSS Quasar Catalogues -- 2.1. Truncation relationship -- 2.2. Permutation tests of independence -- 3. Possible Implications and Discussion -- References -- Non-Parametric Tests for Quasar Data and Hubble Diagram S. Roy, D. Datta, J. Ghosh, M. Roy, M. Kafatos -- 1. Introduction -- 2. Statistical Analysis of Quasar Data from Véron-Cetty Catalogues -- 2.1. Truncation Relationship -- 2.2. Permutation Tests of Independence -- 3. Regression analysis of Data and Hubble Law -- 4. Possible Cosmological Implications -- References -- Doping: A New Non-Parametric Deprojection Scheme D. Chakrabarty, L. Ferrarese -- 1. Introduction -- 2. Method -- 3. Tests -- 4. Applications -- 5. 3-D Morphology of Galaxy Clusters -- 6. Summary -- References -- Quantum Astronomy and Information C. Barbieri -- 1. Introduction -- 2. Properties of Light in Astronomical Observations -- 3. The Intensity Interferometer -- 4. Intensity-Correlation Spectroscopy -- 5. Approaching the Heisenberg Limit: High Time Resolution Astrophysics -- 6. Ultimate Data Rates -- 7. Conclusions -- Acknowledgments -- References -- Mining the Structure of the Nearby Universe R. D'Abrusco, G. Longo, M. Brescia, E. De Filippis, M. Paolillo, A. Staiano, R. Tagliaferri -- 1. Introduction -- 2. Supervised and Unsupervised Methods -- 3. Photometric Redshifts for the SDSS Galaxies -- 3.1. Dataset and base of knowledge -- 3.2. Features selection -- 4. Steps Towards a Photometric Classi.cation of Galaxies -- Acknowledgments -- References -- Numerical Characterization of the Observed Point Spread Function of the VST Wide-Field Telescope G. Sedmak, S. Carrozza, G. Marra -- 1. Introduction -- 2. Simulation of the Atmospheric Seeing -- 3. Simulation of the Observed Point Spread Function -- 4. Mapping the Point Spread Function over the Field of View -- 5. Results.

6. Conclusions -- Acknowledgments -- References -- Part B - Biology, Biochemistry and Bioinformatics -- From Genomes to Protein Models and Back A. Tramontano, A. Giorgetti, M. Orsini, D. Raimondo -- 1. Introduction -- 1.1. The ENCODE project -- 1.2. The BioSapiens consortium -- 1.3. Protein structure prediction -- 1.4. The prediction of the structures of the GENCODE gene products -- 2. Results -- 3. Discussion -- Acknowledgments -- References -- Exploring Biomolecular Recognition by Modeling and Simulation R. Wade -- Acknowledgments -- References -- From Allergen Back to Antigen: A Rational Approach to New Forms of Immunotherapy P. Colombo, A. Trapani, D. Geraci, M. Golino, F. Gianguzza, A. Bonura -- 1. Introduction -- 2. Experimental Results -- 3. Conclusions -- References -- Sulfonylureas and Glinidies as New PPARγ Agonists: Virtual Screening and Biological Assays M. Scarsi, M. Podvinec, A. Roth, H. Hug, S. Kersten, H. Albrecht, T. Schwede, U. A. Meyer, C. Rücker -- 1. Introduction -- 2. Materials and Methods -- 3. Results -- 4. Discussion -- References -- A Multi-Layer Model to Study Genome-Scale Positions of Nucleosomes V. Di Gesú, G. Lo Bosco, L. Pinello, D. Corona, M. Collesano, G.-C. Yuan -- 1. Introduction -- 2. Multi-Layers Model -- 3. MLM validation -- 3.1. Synthetic data generation -- 3.2. Experimental results -- 4. Final remarks -- References -- BioInfogrid: BioInformatics Simulation and Modeling Based on Grid L. Milanesi -- 1. The GRID Bioinformatics Platform -- 1.1. Introduction -- 1.2. BioinfoGRID project -- 2. Methodology -- 2.1. Technology description -- 2.2. GRID database applications example -- 2.3. GRID large scale in silico docking application on avian .u -- 2.4. GRID based microarray expression pro.ling analysis -- 2.5. GRID based system biology model simulator -- 3. Conclusion -- Acknowledgments -- References.

Geometrical and Topological Modelling of Supercoiling in Supramolecular Structures L. Boi -- 1. The topological compaction of the double-helix molecule into the chromatin and the role of supercoiling -- 2. A mathematical model for explaining the interphase folding of chromatin .ber -- 3. Biological justi.cations for the model above -- 4. Conclusions and prospects -- References -- Part C - Methods and Techniques -- Optimisation Strategies for Modelling and Simulation J. Louchet -- 1. Exploring Parameter Spaces using Evolutionary Programming -- 2. Retrieving Patterns: following the Hough Transform -- 3. From Phenomena to Processes: Identifying Internal Parameters -- 4. Parisian Evolution or How To Split Optimisation: The Fly Algorithm -- 5. Conclusion -- References -- Modeling Complexity using Hierarchical Multi-Agent Systems J.-C. Heudin -- 1. Introduction -- 2. The Approach -- 3. Hierarchical Multi-agent Systems -- 4. Virtual Ecosystem Example -- 4.1. Overview -- 4.2. The hierarchical model -- 4.2.1. level 1 -- 4.2.2. level 2 -- 4.2.3. level 3 -- 4.3. Experimental results -- 4.4. Discussion -- 5. Cosmological Example -- 5.1. Overview -- 5.2. The hierarchical model -- 5.2.1. Level 1 -- 5.2.2. Level 2 -- 5.2.3. Level 3 -- 5.2.4. Level 4 -- 5.3. Experimental results -- 6. Discussion -- 7. Conclusion -- References -- Topological Approaches to Search and Matching in Massive Data Sets F. Murtagh -- 1. Introduction -- 2. Quantifying Degree of Ultrametricity -- 3. Ultrametricity and Dimensionality -- 3.1. Distance properties in very sparse spaces -- 3.2. No "curse of dimensionality" in very high dimensions -- 4. Increasing Ultrametricity Through Data Recoding: Ultrametricity of Time Series -- 5. Fast Clustering through Baire Space Embedding -- 6. Conclusions -- References.

Data Mining: Computational Theory of Perceptions and Rough-Fuzzy Granular Computing S. K. Pal.

This proceedings volume contains results presented at the Sixth International Workshop on Data Analysis in Astronomy - "Modeling and Simulation in Science" held on April 15-22, 2007, at the Ettore Majorana Foundation and Center for Scientific Culture, Erice, Italy. Recent progress and new trends in the field of simulation and modeling in three branches of science - astrophysics, biology, and climatology - are described in papers presented by outstanding scientists. The impact of new technologies on the design of novel data analysis systems and the interrelation among different fields are foremost in scientists' minds in the modern era. This book therefore focuses primarily on data analysis methodologies and techniques. Sample Chapter(s). Chapter 1: Simulations for Uhe Cosmic Ray Experiments (562 KB). Contents: Astrophysics, Cosmology and Earth Physics: Simulations for UHE Cosmic Ray Experiments (J Knapp); Problems and Solutions in Climate Modeling (A Sutera); Statistical Analysis of Quasar Data and Validity of the Hubble Law (S Roy et al.); Quantum Astronomy and Information (C Barbieri); Biology, Biochemistry and Bioinformatics: From Genomes to Protein Models and Back (A Tramontano et al.); Exploring Biomolecular Recognition by Modeling and Simulation (R Wade); BioInfogrid: Bioinformatics Simulation and Modeling Based on Grid (L Milanesi); Methods and Techniques: Optimization Strategies for Modeling and Simulation (J Louchet); Biclustering Bioinformatics Data Sets: A Possibilistic Approach (F Masulli); From the Qubit to the Quantum Search Algorithms (G Cariolaro & T Occhipinti); Comparison of Stereo Vision Techniques for Cloud-Top Height Retrieval (A Anzalone et al.); and other papers. Readership: Physicists; biologists; computer scientists and data analysts.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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