“…Bird song, traditionally regarded as primarily a male trait, is in fact widespread among female songbirds and was probably present in the ancestor of modern songbirds (Odom et al 2014 Nature Communications). …”

“…Follows Ai "from the close of the 2008 Beijing Olympics (for which he helped design the acclaimed 'Bird's Nest' stadium) to his arrest and 81-day detention in 2011" (container)…”
Ver más información

Tabla de Contenidos: “…Time waits for no one -- 1 Understanding time series forecasting -- 1.1 Introducing time series -- 1.1.1 Components of a time series -- 1.2 Bird's-eye view of time series forecasting -- 1.2.1 Setting a goal -- 1.2.2 Determining what must be forecast to achieve your goal -- 1.2.3 Setting the horizon of the forecast -- 1.2.4 Gathering the data -- 1.2.5 Developing a forecasting model -- 1.2.6 Deploying to production -- 1.2.7 Monitoring -- 1.2.8 Collecting new data -- 1.3 How time series forecasting is different from other regression tasks -- 1.3.1 Time series have an order -- 1.3.2 Time series sometimes do not have features -- 1.4 Next steps -- Summary -- 2 A naive prediction of the future -- 2.1 Defining a baseline model -- 2.2 Forecasting the historical mean -- 2.2.1 Setup for baseline implementations -- 2.2.2 Implementing the historical mean baseline -- 2.3 Forecasting last year's mean -- 2.4 Predicting using the last known value -- 2.5 Implementing the naive seasonal forecast -- 2.6 Next steps -- Summary -- 3 Going on a random walk -- 3.1 The random walk process -- 3.1.1 Simulating a random walk process -- 3.2 Identifying a random walk -- 3.2.1 Stationarity -- 3.2.2 Testing for stationarity -- 3.2.3 The autocorrelation function -- 3.2.4 Putting it all together -- 3.2.5 Is GOOGL a random walk? …”

Tabla de Contenidos: “…3.5 Functions with Default Arguments -- 3.6 inline Functions -- 3.7 Storage Classes -- 3.7.1 auto -- 3.7.2 Keyword register -- 3.7.3 Keyword static -- 3.7.4 Keyword extern -- 3.8 Recursion -- 3.9 Scope Rules -- 3.10 Arrays -- 3.10.1 Introduction -- 3.10.2 Array as function parameter -- 3.10.3 Arrays with multiple dimension -- 3.11 Structures -- 3.11.1 Assignment of structure variables -- 3.11.2 Using structure as function parameters -- 3.11.3 Pointer to structures -- 3.12 Union -- 3.12.1 Defining an union -- 3.12.2 Working with union -- 3.12.3 Anonymous union -- 3.13 Line Splicing -- 3.14 Command Line Arguments -- 3.15 Multi File Programs -- 3.16 Difference Between C and C++ -- 3.16.1 Major differences -- 3.16.2 Minor differences -- 3.17 End of Chapter Programs -- For Advanced Readers -- Summary -- Exercises -- Chapter 4: Object Orientation: An Introduction -- 4.1 Programming Paradigms -- 4.1.1 Spectrum of computer applications -- 4.1.2 Bird's-eye view of programming paradigms -- 4.2 Popular Recent Paradigms -- 4.2.1 Procedural programming -- 4.2.2 Object-oriented programming -- 4.2.3 Programming language C++ -- 4.2.4 Programming language JAVA -- 4.2.5 Procedural programming vs. object-oriented programming -- 4.3 An Introduction to Object Orientation -- 4.3.1 From structures to objects -- 4.4 Features of Object-Oriented Language -- 4.5 Benefits of Object-Oriented Programming -- 4.6 Writing Large Programs -- Summary -- Multiple Choice Questions and Answers -- Exercises -- Chapter 5: Classes and Objects -- 5.1 Introduction -- 5.2 Data Hiding and Encapsulation -- 5.2.1 Private and public data members -- 5.3 Member Functions -- 5.3.1 Scope resolution operator -- 5.4 Accessing Class Members -- 5.5 Some Short Questions and Answers I -- 5.6 Using Pointers for Objects -- 5.7 Objects as Function Parameters -- 5.8 Some Short Questions and Answers II…”

Tabla de Contenidos: “…Cover -- Copyright -- Contents -- Sponsors -- List of Chemical Symbols and Standard Acronyms -- General Guide to Technical Acronyms -- Preface -- Foreword from Vince Cable -- Foreword from South Korea -- Chapter 1: Industrial pollution and the water environment: a historical perspective -- 1.1 Introduction -- 1.2 Industrial Effluent Discharges -- 1.2.1 Industrial effluents -- 1.2.2 Mining industry -- 1.2.3 Effluent impacts case study: The River Mersey Bird Mortality -- 1.3 Industrial Complexes - Point Source and Diffuse Pollution -- 1.3.1 Drainage from industrial districts -- 1.3.2 Major accidents and other industrial incidents -- 1.4 Diffuse Sources of Pollution -- 1.4.1 Diffuse pollution at point of manufacture or processing -- 1.4.2 Industrial products causing pollution at point of use -- 1.5 Discussion -- 1.6 Conclusions -- 1.7 Acknowledgements -- References -- Chapter 2: Accidents and pollution: industry impacts -- 2.1 Introduction -- 2.2 Catastrophic Episodes -- 2.2.1 Seveso, Italy -- 2.2.2 Bhopal, India -- 2.2.3 Sweizerhalle, Switzerland - the Rhine Incident -- 2.2.4 Tianjin, China -- 2.3 Chronic Pollution Impacts -- 2.3.1 Hinkley, California -- 2.3.2 Love Canal, USA -- 2.3.3 Minamata and Niigata, Japan -- 2.3.4 Toyama Prefecture, Japan -- 2.4 Discussion -- 2.5 Conclusions -- References -- Chapter 3: Industrial estates as sources of water pollution -- 3.1 Introduction -- 3.1.1 Definitions -- 3.1.2 Pollution sources and importance -- 3.2 Case Study (1) NW England &amp -- Wales -- 3.2.1 Sources and pathways - Industrial estate surveys in Merseyside -- 3.2.2 Deepols - potable water supplies at risk -- 3.3 Case Study (2) Daegu, Korea -- 3.4 Discussion -- 3.4.1 Oil -- 3.4.2 Seasonality and diffuse pollution characteristics -- 3.5 Conclusions -- References -- Chapter 4: Risk assessments - trader activities and water pollution -- 4.1 Introduction…”

“…Stunning footage of this beautiful bird, shot in New Zealand's Sub-Antarctic Islands, is woven with the harsh realities of the impact of commercial fishing. …”

+información

“…In this webcast you'll get a bird's eye overview of some of the best tools for data analysis and how you can apply them to your workflow. …”

“…The number of cranes passing over the Hortobágy at the end of October can be as high as 85000.This bird also has a special role in Hungarian culture and traditions, therefore it is especially important to preserve their feeding and resting sites where they can gather strength during their migration. …”

+información

“…This book presents an overview of new optical communication technologies and a bird's-eye view of some of the more promising technologies among them. …”

Tabla de Contenidos: “…8.2 Literature Survey -- 8.3 Methodology -- 8.3.1 Dataset and Its Preparation -- 8.3.2 Classification Set Up -- 8.3.3 Performance Evaluation -- 8.4 Results and Discussion -- 8.5 Conclusion -- References -- Chapter 9 Comparison of Image Based and Audio Based Techniques for Bird Species Identification -- 9.1 Introduction -- 9.2 Literature Survey -- 9.3 Methodology -- 9.4 System Design -- 9.4.1 Dataset Used -- 9.4.2 Image Based Techniques -- 9.4.3 Audio Based Techniques -- 9.5 Results and Analysis -- 9.6 Conclusion -- References -- Chapter 10 Detection of Ichthyosis Vulgaris Using SVM -- 10.1 Introduction -- 10.2 Literature Survey -- 10.3 Types of Ichthyosis -- 10.3.1 Ichthyosis Vulgaris -- 10.3.2 Hyperkeratosis -- 10.4 Sex-Connected Ichthyosis -- 10.5 Symptoms -- 10.6 Complications -- 10.7 Diagnosis -- 10.8 Methodology -- 10.9 Results -- 10.10 Future Work -- 10.11 Conclusion -- References -- Chapter 11 Chest X-Ray Diagnosis and Report Generation: Deep Learning Approach -- 11.1 Introduction -- 11.2 Literature Review -- 11.3 Proposed Methodology -- 11.3.1 Overview of Deep Learning Algorithms -- 11.3.2 Data -- 11.3.3 Feature Extraction -- 11.3.4 Report Generation -- 11.3.5 Evaluation Metrics -- 11.4 Results and Discussions -- 11.4.1 Feature Extraction -- 11.4.2 Report Generation -- 11.5 Conclusion -- References -- Chapter 12 Deep Learning Based Automatic Image Caption Generation for Visually Impaired People -- 12.1 Introduction -- 12.2 Related Work -- 12.3 Methods and Materials -- 12.3.1 Data Set -- 12.3.2 Deep Neural Network Architectures -- 12.3.2.1 Convolution Neural Networks (CNNs) -- 12.3.2.2 Long Short-Term Memory (LSTM) -- 12.3.3 Proposed Model -- 12.3.3.1 Feature Extraction Models -- 12.3.3.2 Workflow for Image Caption Generation -- 12.4 Results and Discussion -- 12.4.1 Evaluation Metrics -- 12.4.2 Analysis of Results -- 12.4.3 Examples…”