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2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology : 18-19 September 2018, Jakarta, Indonesia / / Institute of Electrical and Electronics Engineers
2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology : 18-19 September 2018, Jakarta, Indonesia / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Descrizione fisica 1 online resource (18 pages)
Disciplina 550.285
Soggetto topico Geology - Data processing
Remote sensing - Data processing
Electronics
ISBN 1-5386-7777-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996280058203316
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology : 18-19 September 2018, Jakarta, Indonesia / / Institute of Electrical and Electronics Engineers
2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology : 18-19 September 2018, Jakarta, Indonesia / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Descrizione fisica 1 online resource (18 pages)
Disciplina 550.285
Soggetto topico Geology - Data processing
Remote sensing - Data processing
Electronics
ISBN 1-5386-7777-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910295816803321
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Application of artificial neural networks in geoinformatics / / Saro Lee, editor
Application of artificial neural networks in geoinformatics / / Saro Lee, editor
Pubbl/distr/stampa Basel : , : MDPI AG - Multidisciplinary Digital Publishing Institute, , [2018]
Descrizione fisica 1 online resource (228 pages) : illustrations
Disciplina 550.285
Soggetto topico Geoinformatics
Neural networks (Computer science)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto About the Special Issue Editor v -- Saro Lee -- Editorial for Special Issue: Application of Artificial Neural Networks in Geoinformatics doi: 10.3390/app8010055 1 -- Sunmin Lee, Moung-Jin Lee and Hyung-Sup Jung Data Mining Approaches for Landslide Susceptibility Mapping in Umyeonsan, Seoul, South Korea doi: 10.3390/app7070683 4 Hyun-Joo Oh and Saro Lee -- Shallow Landslide Susceptibility Modeling Using the Data Mining Models Artificial Neural Network and Boosted Tree doi: 10.3390/app7101000 25 -- Saro Lee, Sunmin Lee, Wonkyong Song and Moung-Jin Lee -- Habitat Potential Mapping of Marten (Martes flavigula) and Leopard Cat (Prionailurus bengalensis) in South Korea Using Artificial Neural Network Machine Learning doi: 10.3390/app7090912 39 -- Syyed Adnan Raheel Shah, Tom Brijs, Naveed Ahmad, Ali Pirdavani, Yongjun Shen and Muhammad Aamir Basheer -- Road Safety Risk Evaluation Using GIS-Based Data Envelopment Analysis-Artificial Neural Networks Approach doi: 10.3390/app7090886 54 -- Mustafa Ridha Mezaal, Biswajeet Pradhan, Maher Ibrahim Sameen, Helmi Zulhaidi Mohd Shafri and Zainuddin Md Yusoff -- Optimized Neural Architecture for Automatic Landslide Detection from High-Resolution Airborne Laser Scanning Data doi: 10.3390/app7070730 73 -- Guandong Chen, Yu Li, Guangmin Sun and Yuanzhi Zhang -- Application of Deep Networks to Oil Spill Detection Using Polarimetric Synthetic Aperture Radar Images doi: 10.3390/app7100968 93 -- Jeong-In Hwang, Sung-Ho Chae, Daeseong Kim and Hyung-Sup Jung -- Application of Artificial Neural Networks to Ship Detection from X-Band Kompsat5 Imagery doi: 10.3390/app7090961 108 -- Alessandro Piscini, Vito Romaniello, Christian Bignami and Salvatore Stramondo A New Damage Assessment Method by Means of Neural Network and Multi-Sensor -- Satellite Data doi: 10.3390/app7080781 122 Books MDPI -- Prima Riza Kadavi, Won-Jin Lee and Chang-Wook Lee Analysis of the Pyroclastic Flow Deposits of Mount Sinabung and Merapi Using Landsat -- Imagery and the Artificial Neural Networks Approach doi: 10.3390/app7090935 132 -- Soo-Kyung Kwon, Hyung-Sup Jung, Won-Kyung Baek and Daeseong Kim -- Classification of Forest Vertical Structure in South Korea from Aerial Orthophoto and Lidar Data Using an Artificial Neural Network doi: 10.3390/app7101046 146 -- Giles M. Foody Impacts of Sample Design for Validation Data on the Accuracy of Feedforward Neural -- Network Classification doi: 10.3390/app7090888-- Young-Ji Byon, Jun Su Ha, Chung-Suk Cho, Tae-Yeon Kim and Chan Yeob Yeun -- Real-Time Transportation Mode Identification Using Artificial Neural Networks Enhanced with Mode Availability Layers: A Case Study in Dubai doi: 10.3390/app7090923 174 -- Maher Ibrahim Sameen and Biswajeet Pradhan -- Severity Prediction of Traffic Accidents with Recurrent Neural Networks doi: 10.3390/app7060476 191 -- N ´adia F. Afonso and Jos´e C. M. Pires -- Characterization of Surface Ozone Behavior at Different Regimes doi: 10.3390/app7090944 208.
Record Nr. UNINA-9910598030803321
Basel : , : MDPI AG - Multidisciplinary Digital Publishing Institute, , [2018]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Collecting, Processing and Presenting Geoscientific Information : MATLAB® and Design Recipes for Earth Sciences / / by Martin H. Trauth, Elisabeth Sillmann
Collecting, Processing and Presenting Geoscientific Information : MATLAB® and Design Recipes for Earth Sciences / / by Martin H. Trauth, Elisabeth Sillmann
Autore Trauth Martin H
Edizione [2nd ed. 2018.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIII, 274 p. 53 illus., 48 illus. in color.)
Disciplina 550.285
Collana Springer Textbooks in Earth Sciences, Geography and Environment
Soggetto topico Earth sciences
Statistics 
Computer graphics
Computer software
Earth Sciences, general
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Computer Graphics
Mathematical Software
ISBN 3-662-56203-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Scientific Information in Earth Sciences -- Searching and Reviewing Scientific Literature -- Internet Resources for Earth Science Data -- MATLAB as a Visualization Tool -- Visualizing Two-Dimensional Earth Science Data -- Visualizing Three-Dimensional Earth Science Data -- Processing and Displaying Images in Earth Sciences -- Editing Graphics, Text, and Tables -- Creating Conference Presentations -- Creating Conference Posters -- Creating Manuscripts, Flyers, and Books.
Record Nr. UNINA-9910299383903321
Trauth Martin H  
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Computers in geology [[electronic resource] ] : 25 years of progress / / edited by John C. Davis, Ute Christina Herzfeld
Computers in geology [[electronic resource] ] : 25 years of progress / / edited by John C. Davis, Ute Christina Herzfeld
Pubbl/distr/stampa New York, : Oxford University Press, 1993
Descrizione fisica 1 online resource (317 p.)
Disciplina 550.285
550/.285
551.0285
Altri autori (Persone) DavisJohn C
HerzfeldUte Christina
Collana International Association for Mathematical Geology studies in mathematical geology
Soggetto topico Geology - Data processing
Geology - Mathematics - Data processing
Soggetto genere / forma Electronic books.
ISBN 0-19-756052-0
1-280-52713-7
9786610527137
0-19-535889-9
1-4294-0787-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; 1. Introduction; 2. Weights of Evidence Modeling and Weighted Logistic Regression for Mineral Potential Mapping; 3. Gold Prospecting with Factorial Cokriging in the Limousin, France; 4. Recent Experiences with Prospector II; 5. Correspondence Analysis in Heavy Mineral Interpretation; 6. Mathematics Between Source and Trap: Uncertainty in Hydrocarbon Migration Modeling; 7. Risk Analysis of Petroleum Prospects; 8. Characteristic Analysis as an Oil Exploration Tool; 9. Information Management and Mapping System for Subsurface Stratigraphic Analysis
10. Automated Correlation Based on Markov Analysis of Vertical Successions and Walther's Law11. Milankovitch Cyclicity in the Stratigraphic Record-A Review; 12. Can the Ginsburg Model Generate Cycles?; 13. Quantitative Genetics in Paleontology: Evolution in Tertiary Ostracoda; 14. An Integrated Approach to Forward Modeling Carbonate Platform Development; 15. Principal Component Analysis of Three-Way Data; 16. A Solution to the Percentage-Data Problem in Petrology; 17. Amplitude and Phase in Map and Image Enhancement; 18. Fractals in Geosciences-Challenges and Concerns
19. An Executable Notation, with Illustrations from Elementary Crystallography20. Uncertainty in Geology; 21. Expert Systems in Environmental Geology; 22. From Multivariate Sampling to Thematic Maps with an Application to Marine Geochemistry; 23. The Kinematics of Paleo Landforms; 24. R. G .V. Eigen: Legendary Father of Mathematical Geology; Index
Record Nr. UNINA-9910450871603321
New York, : Oxford University Press, 1993
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computers in geology : 25 years of progress / / editors, John C. Davis, Ute Christina Herzfeld
Computers in geology : 25 years of progress / / editors, John C. Davis, Ute Christina Herzfeld
Pubbl/distr/stampa New York : , : Oxford University Press, , 1993
Descrizione fisica 1 online resource (316 pages) : illustrations (black and white, and colour)
Disciplina 550.285
550/.285
551.0285
Altri autori (Persone) DavisJohn C
HerzfeldUte Christina
Collana International Association for Mathematical Geology studies in mathematical geology
Soggetto topico Geology - Data processing
Geology - Mathematics - Data processing
ISBN 0-19-756052-0
1-280-52713-7
9786610527137
0-19-535889-9
1-4294-0787-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; 1. Introduction; 2. Weights of Evidence Modeling and Weighted Logistic Regression for Mineral Potential Mapping; 3. Gold Prospecting with Factorial Cokriging in the Limousin, France; 4. Recent Experiences with Prospector II; 5. Correspondence Analysis in Heavy Mineral Interpretation; 6. Mathematics Between Source and Trap: Uncertainty in Hydrocarbon Migration Modeling; 7. Risk Analysis of Petroleum Prospects; 8. Characteristic Analysis as an Oil Exploration Tool; 9. Information Management and Mapping System for Subsurface Stratigraphic Analysis
10. Automated Correlation Based on Markov Analysis of Vertical Successions and Walther's Law; 11. Milankovitch Cyclicity in the Stratigraphic Record-A Review; 12. Can the Ginsburg Model Generate Cycles?; 13. Quantitative Genetics in Paleontology: Evolution in Tertiary Ostracoda; 14. An Integrated Approach to Forward Modeling Carbonate Platform Development; 15. Principal Component Analysis of Three-Way Data; 16. A Solution to the Percentage-Data Problem in Petrology; 17. Amplitude and Phase in Map and Image Enhancement; 18. Fractals in Geosciences-Challenges and Concerns
19. An Executable Notation, with Illustrations from Elementary Crystallography; 20. Uncertainty in Geology; 21. Expert Systems in Environmental Geology; 22. From Multivariate Sampling to Thematic Maps with an Application to Marine Geochemistry; 23. The Kinematics of Paleo Landforms; 24. R. G .V. Eigen: Legendary Father of Mathematical Geology; Index
Record Nr. UNINA-9910784717903321
New York : , : Oxford University Press, , 1993
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Earth Systems Data Processing and Visualization Using MATLAB / / by Zekâi Şen
Earth Systems Data Processing and Visualization Using MATLAB / / by Zekâi Şen
Autore Şen Zekâi
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XI, 277 p.)
Disciplina 550.285
Collana Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development
Soggetto topico Physical geography
Software engineering
Environmental sciences
Management information systems
Social sciences—Data processing
Social sciences—Computer programs
Earth System Sciences
Software Engineering/Programming and Operating Systems
Environmental Science and Engineering
Software Management
Computational Social Sciences
ISBN 3-030-01542-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Statistics fundamentals -- Spatial analyses -- Simulations -- Meteorology -- Hydrology -- Hydrogeology -- Hydrochemistry -- Climate change -- Water resources engineering -- Renewable energy. .
Record Nr. UNINA-9910366648803321
Şen Zekâi  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Environmental and ecological statistics with R / Song S. Qian
Environmental and ecological statistics with R / Song S. Qian
Autore Song, Qian S.
Pubbl/distr/stampa Boca Raton, FL : Chapman & Hall/CRC, 2010
Descrizione fisica xix, 421 p. : ill. ; 24 cm
Disciplina 550.285
Collana Chapman & Hall/CRC applied environmental statistics
Soggetto non controllato Scienze ambientali - Metodi statistici
Ecologia - Metodi statistici
R (lingua del programma per computer)
ISBN 978-1-4200-6206-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990009205680403321
Song, Qian S.  
Boca Raton, FL : Chapman & Hall/CRC, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduction to Python in earth science data analysis : from descriptive statistics to machine learning / / Maurizio Petrelli
Introduction to Python in earth science data analysis : from descriptive statistics to machine learning / / Maurizio Petrelli
Autore Petrelli Maurizio
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (229 pages)
Disciplina 550.285
Collana Springer textbooks in earth sciences, geography and environment
Soggetto topico Geology - Data processing
ISBN 3-030-78055-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Acknowledgments -- Overview -- Let me Introduce Myself -- Organization of Book -- Styling Conventions -- Shared Codes -- Involvement and Collaborations -- Contents -- Part I Python for Geologists: A Kickoff -- 1 Setting Up Your Python Environment, Easily -- 1.1 The Python Programming Language -- 1.2 Programming Paradigms -- 1.3 A Local Python Environment for Scientific Computing -- 1.4 Remote Python Environments -- 1.5 Python Packages for Scientific Applications -- 1.6 Python Packages Specifically Developed for Geologists -- 2 Python Essentials for a Geologist -- 2.1 Start Working with IPython Console -- 2.2 Naming and Style Conventions -- 2.3 Working with Python Scripts -- 2.4 Conditional Statements, Indentation, Loops, and Functions -- 2.5 Importing External Libraries -- 2.6 Basic Operations and Mathematical Functions -- 3 Solving Geology Problems Using Python: An Introduction -- 3.1 My First Binary Diagram Using Python -- 3.2 Making Our First Models in Earth Science -- 3.3 Quick Intro to Spatial Data Representation -- Part II Describing Geological Data -- 4 Graphical Visualization of a Geological Data Set -- 4.1 Statistical Description of a Data Set: Key Concepts -- 4.2 Visualizing Univariate Sample Distributions -- 4.3 Preparing Publication-Ready Binary Diagrams -- 4.4 Visualization of Multivariate Data: A First Attempt -- 5 Descriptive Statistics 1: Univariate Analysis -- 5.1 Basics of Descriptive Statistics -- 5.2 Location -- 5.3 Dispersion or Scale -- 5.4 Skewness -- 5.5 Descriptive Statistics in Pandas -- 5.6 Box Plots -- 6 Descriptive Statistics 2: Bivariate Analysis -- 6.1 Covariance and Correlation -- 6.2 Simple Linear Regression -- 6.3 Polynomial Regression -- 6.4 Nonlinear Regression -- Part III Integrals and Differential Equations in Geology -- 7 Numerical Integration -- 7.1 Definite Integrals.
7.2 Basic Properties of Integrals -- 7.3 Analytical and Numerical Solutions of Definite Integrals -- 7.4 Fundamental Theorem of Calculus and Analytical Solutions -- 7.5 Numerical Solutions of Definite Integrals -- 7.6 Computing the Volume of Geological Structures -- 7.7 Computing the Lithostatic Pressure -- 8 Differential Equations -- 8.1 Introduction -- 8.2 Ordinary Differential Equations -- 8.3 Numerical Solutions of First-Order Ordinary Differential Equations -- 8.4 Fick's Law of Diffusion-A Widely Used Partial Differential Equation -- Part IV Probability Density Functions and Error Analysis -- 9 Probability Density Functions and Their Use in Geology -- 9.1 Probability Distribution and Density Functions -- 9.2 The Normal Distribution -- 9.3 The Log-Normal Distribution -- 9.4 Other Useful PDFs for Geological Applications -- 9.5 Density Estimation -- 9.6 The Central Limit Theorem and Normal Distributed Means -- 10 Error Analysis -- 10.1 Dealing with Errors in Geological Measurements -- 10.2 Reporting Uncertainties in Binary Diagrams -- 10.3 Linearized Approach to Error Propagation -- 10.4 The Mote Carlo Approach to Error Propagation -- Part V Robust Statistics and Machine Learning -- 11 Introduction to Robust Statistics -- 11.1 Classical and Robust Approaches to Statistics -- 11.2 Normality Tests -- 11.3 Robust Estimators for Location and Scale -- 11.4 Robust Statistics in Geochemistry -- 12 Machine Learning -- 12.1 Introduction to Machine Learning in Geology -- 12.2 Machine Learning in Python -- 12.3 A Case Study of Machine Learning in Geology -- Appendix A Python Packages and Resources for Geologists -- A.1 Python Libraries for Geologists -- A.2 Python Learning Resources for Geologists -- Appendix B Introduction to Object Oriented Programming -- B.1 Object-Oriented Programming -- B.2 Defining Classes, Attributes, and Methods in Python.
Appendix C The Matplotlib Object Oriented API -- C.1 Matplotlib Application Programming Interfaces -- C.2 Matplotlib Object Oriented API -- C.3 Fine Tuning Geological Diagrams Using the OO-Style -- Appendix D Working with Pandas -- D.1 How to Perform Common Operations in Pandas -- Appendix Further Readings.
Record Nr. UNINA-9910502625203321
Petrelli Maurizio  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Knowledge organization and management in the domain of environment and earth bbservation (KOMEEO) : proceedings of the international KOMEEO Conference 2021 Rende, Italy / / Antonietta Folino, Roberto Guarasci, hrsg
Knowledge organization and management in the domain of environment and earth bbservation (KOMEEO) : proceedings of the international KOMEEO Conference 2021 Rende, Italy / / Antonietta Folino, Roberto Guarasci, hrsg
Pubbl/distr/stampa Baden-Baden : , : Nomos Verlagsgesellschaft mbH & Co. KG, , [2022]
Descrizione fisica 1 Online Ressource
Disciplina 550.285
Collana Advances in Knowledge Organization,
Soggetto topico Earth sciences - Data processing
Environmental sciences - Data processing
ISBN 9783956508752
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996530872303316
Baden-Baden : , : Nomos Verlagsgesellschaft mbH & Co. KG, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui