2010 International Conference on Challenges in Environmental Science and Computer Engineering : proceedings, Wuhan, China, 6-7 March 2010
| 2010 International Conference on Challenges in Environmental Science and Computer Engineering : proceedings, Wuhan, China, 6-7 March 2010 |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society, 2010 |
| Soggetto topico |
Environmental sciences - Data processing
Environmental sciences - Computer simulation Information technology Computer science Civil & Environmental Engineering Engineering & Applied Sciences Environmental Engineering |
| ISBN | 1-4244-5924-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996203763803316 |
| [Place of publication not identified], : IEEE Computer Society, 2010 | ||
| Lo trovi qui: Univ. di Salerno | ||
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2010 International Conference on Challenges in Environmental Science and Computer Engineering : proceedings, Wuhan, China, 6-7 March 2010
| 2010 International Conference on Challenges in Environmental Science and Computer Engineering : proceedings, Wuhan, China, 6-7 March 2010 |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society, 2010 |
| Soggetto topico |
Environmental sciences - Data processing
Environmental sciences - Computer simulation Information technology Computer science Civil & Environmental Engineering Engineering & Applied Sciences Environmental Engineering |
| ISBN |
9781424459247
1424459249 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910140662803321 |
| [Place of publication not identified], : IEEE Computer Society, 2010 | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence and the Environmental Crisis [[electronic resource] ] : Can Technology Really Save the World?
| Artificial Intelligence and the Environmental Crisis [[electronic resource] ] : Can Technology Really Save the World? |
| Autore | Skene Keith <1965-> |
| Pubbl/distr/stampa | Milton, : Routledge, 2019 |
| Descrizione fisica | 1 online resource (277 pages) |
| Disciplina | 363.70028563 |
| Soggetto topico |
Artificial intelligence - Environmental applications
Artificial intelligence - Moral and ethical aspects Artificial intelligence - Social aspects Environmental sciences - Data processing Information storage and retrieval systems - Environmental protection Sustainability - Technological innovations |
| ISBN |
042961909X
0429621248 0429055676 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Section I: Artificial Intelligence and the Internet of Things -- I.1. Nothing new under the Sun -- I.2. Oh, for a nice cold soda: The birth of the internet of things -- I.3. The two-month, ten-man project to transform the world -- I.4. Getting to grips with the jargon: Symbolic and non-symbolic AI -- Section II: Should I stay or should I go? Ethics in AI -- II.1. Choosing an ethical framework -- II.2. The strange case of Asimov's laws -- II.3. Free will and moral judgement
II.4. The confused owl of Minerva: Dangers of a moral vacuum -- II.5. Who's in charge of the big bad wolf? -- II.6. What should a declaration of AI rights look like? -- Section III: Gender, Race, Culture and Fear -- III.1. Gender issues in AI -- III.2. Racial issues in AI -- III.3. Cultural issues in AI -- III.4. Fear and loathing in AI -- Section IV: The Thinker: Human Intelligence -- IV.1. Human intelligence: Carolus Linnaeus and his wise, wise men -- IV.2. So what is human intelligence? -- IV.3. Philosophy and intelligence: The framing of our thoughts Section V: Other Modes of Intelligence: Thinking Outside the Human Box -- V.1. Animal intelligence: Machiavellian sentience and the wisdom of the swarm -- V.2. Plant intelligence: Headless, brainless, dispersed intelligence -- V.3. Microbial intelligence: Gene-swapping revelry in the quorum -- V.4. Ecosystem intelligence: Systems thinking in the cathedral of thought -- V.5. Systems are non-linear -- V.6. Systems are emergent -- V.7. Systems are sub-optimal -- V.8. Systems rely of real-time feedback -- Section VI: Highway to Hell: The Existentialist Threat Facing Humankind VI.1. A brief history of our path towards destruction -- VI.2. The five clear road signs that point towards criticality -- VI.3. Why ecological damage matters to us -- VI.4. Adam Smith and his invisible hand -- VI.5. Kuznets and his curve: How ninety five percent speculation led us badly astray -- Section VII: Forget the Romans. What has AI ever done for us? -- VII.1. AI and economics: The best of things or the worst of things? -- VII.2. AI and society -- VII.3. AI and the environment -- VII.4. Technology and sustainability: Bellicose bedfellows or Romeo and Juliet? Section VIII: Imagining a New World -- VIII.1. The swallow whose nest was stolen: A salutary tale -- VIII.2. Blinded by the bling: Dashboard dogs and a disappearing sea -- VIII.3. What needs changed and what change do we need? -- VIII.4. The chains that bind: Taking responsibility for our footprints -- VIII.5. The Ogiek people and the new, improved invisible hand -- VIII.6. Lessons from the edge of the world: The St Kildan legacy -- VIII.7. The Garden of Eden complex: How not to fix the world -- VIII.8. The three cornerstones: Diversity, resilience and integration |
| Record Nr. | UNINA-9910793812003321 |
Skene Keith <1965->
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| Milton, : Routledge, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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Data analysis and statistics for geography, environmental science, and engineering / / by Miguel F. Acevedo
| Data analysis and statistics for geography, environmental science, and engineering / / by Miguel F. Acevedo |
| Autore | Acevedo Miguel F. |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2012 |
| Descrizione fisica | 1 online resource (549 p.) |
| Disciplina | 519.5 |
| Soggetto topico |
Geography - Data processing
Geography - Statistical methods Environmental sciences - Data processing Environmental sciences - Statistical methods Engineering - Data processing Engineering - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN | 0-429-16914-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1 - Introduction; Chapter 2 - Probability Theory; Chapter 3 - Random Variables, Distributions, Moments, and Statistics; Chapter 4 - Exploratory Analysis and Introduction to Inferential Statistics; Chapter 5 - More on Inferential Statistics: Goodness of Fit, Contingency Analysis, and Analysis of Variance; Chapter 6 - Regression; Chapter 7 - Stochastic or Random Processes and Time Series; Chapter 8 - Spatial Point Patterns; Chapter 9 - Matrices and Linear Algebra; Chapter 10 - Multivariate Models
Chapter 11 - Dependent Stochastic Processes and Time SeriesChapter 12 - Geostatistics: Kriging; Chapter 13 - Spatial Auto-Correlation and Auto-Regression; Chapter 14 - Multivariate Analysis I: Reducing Dimensionality; Chapter 15 - Multivariate Analysis II: Identifying and Developing Relationships among Observations and Variables; Bibliography; Back Cover |
| Record Nr. | UNINA-9910460107103321 |
Acevedo Miguel F.
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||
| Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2012 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data analysis and statistics for geography, environmental science, and engineering / / by Miguel F. Acevedo
| Data analysis and statistics for geography, environmental science, and engineering / / by Miguel F. Acevedo |
| Autore | Acevedo Miguel F. |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2012 |
| Descrizione fisica | 1 online resource (549 p.) |
| Disciplina | 519.5 |
| Soggetto topico |
Geography - Data processing
Geography - Statistical methods Environmental sciences - Data processing Environmental sciences - Statistical methods Engineering - Data processing Engineering - Statistical methods |
| ISBN | 0-429-16914-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1 - Introduction; Chapter 2 - Probability Theory; Chapter 3 - Random Variables, Distributions, Moments, and Statistics; Chapter 4 - Exploratory Analysis and Introduction to Inferential Statistics; Chapter 5 - More on Inferential Statistics: Goodness of Fit, Contingency Analysis, and Analysis of Variance; Chapter 6 - Regression; Chapter 7 - Stochastic or Random Processes and Time Series; Chapter 8 - Spatial Point Patterns; Chapter 9 - Matrices and Linear Algebra; Chapter 10 - Multivariate Models
Chapter 11 - Dependent Stochastic Processes and Time SeriesChapter 12 - Geostatistics: Kriging; Chapter 13 - Spatial Auto-Correlation and Auto-Regression; Chapter 14 - Multivariate Analysis I: Reducing Dimensionality; Chapter 15 - Multivariate Analysis II: Identifying and Developing Relationships among Observations and Variables; Bibliography; Back Cover |
| Record Nr. | UNINA-9910796911603321 |
Acevedo Miguel F.
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| Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2012 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data analysis and statistics for geography, environmental science, and engineering / / by Miguel F. Acevedo
| Data analysis and statistics for geography, environmental science, and engineering / / by Miguel F. Acevedo |
| Autore | Acevedo Miguel F. |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2012 |
| Descrizione fisica | 1 online resource (549 p.) |
| Disciplina | 519.5 |
| Soggetto topico |
Geography - Data processing
Geography - Statistical methods Environmental sciences - Data processing Environmental sciences - Statistical methods Engineering - Data processing Engineering - Statistical methods |
| ISBN | 0-429-16914-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1 - Introduction; Chapter 2 - Probability Theory; Chapter 3 - Random Variables, Distributions, Moments, and Statistics; Chapter 4 - Exploratory Analysis and Introduction to Inferential Statistics; Chapter 5 - More on Inferential Statistics: Goodness of Fit, Contingency Analysis, and Analysis of Variance; Chapter 6 - Regression; Chapter 7 - Stochastic or Random Processes and Time Series; Chapter 8 - Spatial Point Patterns; Chapter 9 - Matrices and Linear Algebra; Chapter 10 - Multivariate Models
Chapter 11 - Dependent Stochastic Processes and Time SeriesChapter 12 - Geostatistics: Kriging; Chapter 13 - Spatial Auto-Correlation and Auto-Regression; Chapter 14 - Multivariate Analysis I: Reducing Dimensionality; Chapter 15 - Multivariate Analysis II: Identifying and Developing Relationships among Observations and Variables; Bibliography; Back Cover |
| Record Nr. | UNINA-9910800166303321 |
Acevedo Miguel F.
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| Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2012 | ||
| Lo trovi qui: Univ. Federico II | ||
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Environmental data analysis : methods and applications / / Zhihua Zhang
| Environmental data analysis : methods and applications / / Zhihua Zhang |
| Autore | Zhang Zhihua |
| Pubbl/distr/stampa | Berlin, [Germany] ; ; Boston, [Massachusetts] : , : De Gruyter, , 2017 |
| Descrizione fisica | 1 online resource (334 pages) : illustrations |
| Disciplina | 363.700285 |
| Soggetto topico |
Environmental sciences - Data processing
Environmental sciences - Mathematics |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-11-042498-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Contents -- 1. Time series analysis -- 2. Chaos and dynamical systems -- 3. Approximation -- 4. Interpolation -- 5. Statistical methods -- 6. Numerical methods -- 7. Optimization -- 8. Data envelopment analysis -- 9. Risk assessments -- 10. Life cycle assessments -- Index |
| Record Nr. | UNINA-9910466123903321 |
Zhang Zhihua
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| Berlin, [Germany] ; ; Boston, [Massachusetts] : , : De Gruyter, , 2017 | ||
| Lo trovi qui: Univ. Federico II | ||
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Environmental data analysis : methods and applications / / Zhihua Zhang
| Environmental data analysis : methods and applications / / Zhihua Zhang |
| Autore | Zhang Zhihua |
| Pubbl/distr/stampa | Berlin, [Germany] ; ; Boston, [Massachusetts] : , : De Gruyter, , 2017 |
| Descrizione fisica | 1 online resource (334 pages) : illustrations |
| Disciplina | 363.700285 |
| Soggetto topico |
Environmental sciences - Data processing
Environmental sciences - Mathematics |
| Soggetto non controllato |
Data Analysis
Environmental Science Mathematics |
| ISBN | 3-11-042498-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Contents -- 1. Time series analysis -- 2. Chaos and dynamical systems -- 3. Approximation -- 4. Interpolation -- 5. Statistical methods -- 6. Numerical methods -- 7. Optimization -- 8. Data envelopment analysis -- 9. Risk assessments -- 10. Life cycle assessments -- Index |
| Record Nr. | UNINA-9910792321403321 |
Zhang Zhihua
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| Berlin, [Germany] ; ; Boston, [Massachusetts] : , : De Gruyter, , 2017 | ||
| Lo trovi qui: Univ. Federico II | ||
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Environmental data analysis : methods and applications / / Zhihua Zhang
| Environmental data analysis : methods and applications / / Zhihua Zhang |
| Autore | Zhang Zhihua |
| Pubbl/distr/stampa | Berlin, [Germany] ; ; Boston, [Massachusetts] : , : De Gruyter, , 2017 |
| Descrizione fisica | 1 online resource (334 pages) : illustrations |
| Disciplina | 363.700285 |
| Soggetto topico |
Environmental sciences - Data processing
Environmental sciences - Mathematics |
| Soggetto non controllato |
Data Analysis
Environmental Science Mathematics |
| ISBN | 3-11-042498-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Contents -- 1. Time series analysis -- 2. Chaos and dynamical systems -- 3. Approximation -- 4. Interpolation -- 5. Statistical methods -- 6. Numerical methods -- 7. Optimization -- 8. Data envelopment analysis -- 9. Risk assessments -- 10. Life cycle assessments -- Index |
| Record Nr. | UNINA-9910810370803321 |
Zhang Zhihua
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| Berlin, [Germany] ; ; Boston, [Massachusetts] : , : De Gruyter, , 2017 | ||
| Lo trovi qui: Univ. Federico II | ||
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Environmental data analysis with MatLab [[electronic resource] /] / William Menke, Joshua Menke
| Environmental data analysis with MatLab [[electronic resource] /] / William Menke, Joshua Menke |
| Autore | Menke William |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier, c2012 |
| Descrizione fisica | 1 online resource (282 p.) |
| Disciplina | 363.7001/5118 |
| Altri autori (Persone) | MenkeJoshua E <1976-> (Joshua Ephraim) |
| Soggetto topico |
Environmental sciences - Mathematical models
Environmental sciences - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-24992-8
9786613249920 0-12-391887-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Environmental Data Analysis with MatLab; Copyright; Dedication; Preface; Advice on scripting for beginners; Contents; Chapter 1: Data analysis with MatLab; 1.1. Why MatLab?; 1.2. Getting started with MatLab; 1.3. Getting organized; 1.4. Navigating folders; 1.5. Simple arithmetic and algebra; 1.6. Vectors and matrices; 1.7. Multiplication of vectors of matrices; 1.8. Element access; 1.9. To loop or not to loop; 1.10. The matrix inverse; 1.11. Loading data from a file; 1.12. Plotting data; 1.13. Saving data to a file; 1.14. Some advice on writing scripts; Problems
Chapter 2: A first look at data2.1. Look at your data!; 2.2. More on MatLab graphics; 2.3. Rate information; 2.4. Scatter plots and their limitations; Problems; Chapter 3: Probability and what it has to do with data analysis; 3.1. Random variables; 3.2. Mean, median, and mode; 3.3. Variance; 3.4. Two important probability density functions; 3.5. Functions of a random variable; 3.6. Joint probabilities; 3.7. Bayesian inference; 3.8. Joint probability density functions; 3.9. Covariance; 3.10. Multivariate distributions; 3.11. The multivariate Normal distributions 3.12. Linear functions of multivariate dataProblems; Chapter 4: The power of linear models; 4.1. Quantitative models, data, and model parameters; 4.2. The simplest of quantitative models; 4.3. Curve fitting; 4.4. Mixtures; 4.5. Weighted averages; 4.6. Examining error; 4.7. Least squares; 4.8. Examples; 4.9. Covariance and the behavior of error; Problems; Chapter 5: Quantifying preconceptions; 5.1. When least square fails; 5.2. Prior information; 5.3. Bayesian inference; 5.4. The product of Normal probability density distributions; 5.5. Generalized least squares 5.6. The role of the covariance of the data5.7. Smoothness as prior information; 5.8. Sparse matrices; 5.9. Reorganizing grids of model parameters; Problems; Chapter 6: Detecting periodicities; 6.1. Describing sinusoidal oscillations; 6.2. Models composed only of sinusoidal functions; 6.3. Going complex; 6.4. Lessons learned from the integral transform; 6.5. Normal curve; 6.6. Spikes; 6.7. Area under a function; 6.8. Time-delayed function; 6.9. Derivative of a function; 6.10. Integral of a function; 6.11. Convolution; 6.12. Nontransient signals; Problems Chapter 7: The past influences the present7.1. Behavior sensitive to past conditions; 7.2. Filtering as convolution; 7.3. Solving problems with filters; 7.4. Predicting the future; 7.5. A parallel between filters and polynomials; 7.6. Filter cascades and inverse filters; 7.7. Making use of what you know; Problems; Chapter 8: Patterns suggested by data; 8.1. Samples as mixtures; 8.2. Determining the minimum number of factors; 8.3. Application to the Atlantic Rocks dataset; 8.4. Spiky factors; 8.5. Time-Variable functions; Problems; Chapter 9: Detecting correlations among data 9.1. Correlation is covariance |
| Record Nr. | UNINA-9910456680203321 |
Menke William
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| Amsterdam ; ; Boston, : Elsevier, c2012 | ||
| Lo trovi qui: Univ. Federico II | ||
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