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Umfang: 1 Online-Ressource (xxx, 488 Seiten) , Illustrationen

ISBN: 9781484228968

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-1-4842-2895-1

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-1-4842-2897-5

Sprache: Englisch

Fachgebiete: Informatik , Wirtschaftswissenschaften

Schlagwort(e): Internet der Dinge ; Datenschutz ; Computersicherheit ; Electronic books

DOI: 10.1007/978-1-4842-2896-8

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

URL: ProQuest Ebook Central

URL: Full-text  ((OIS Credentials Required))

URL: lizenzpflichtig

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Umfang: 1 Online-Ressource (xix, 588 Seiten) , Diagramme, Karten

ISBN: 9781781951514

Serie: Elgar original reference

Inhalt: In recent years, there has been a marked proliferation in the literature on economic approaches to ecosystem management, which has created a subsequent need for real understanding of the scope and the limits of the economic approaches to ecosystems and biodiversity. Within this Handbook, carefully commissioned original contributions from acknowledged experts in the field address the new concepts and their applications, identify knowledge gaps and provide authoritative recommendations. -- The Handbook offers a wealth of case studies and further: *identifies the conceptual underpinnings of the economics of ecosystems and biodiversity * demonstrates new research methodologies and their applications *provides authoritative assessment of the recent results and findings in ecosystems services and biodiversity valuation and accounting *provides the reader with the state of the art of the research on the economics of ecosystem services and biodiversity *provides spatial explicit tools for mapping ecosystem services values for land-use planning, including in the context of business and industry. -- This authoritative assessment will appeal to researchers and academics at both the advanced undergraduate and post-graduate levels of environmental economics and ecological economics. Policy-makers in government, business and conservation sectors will find much to engage them as the work will prove essential for implementing effective response policies for the management of ecosystems and biodiversity

Weitere Ausg.: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 9781781951507

Sprache: Englisch

Schlagwort(e): Biodiversität ; Artenreichtum ; Umweltökonomie

DOI: 10.4337/9781781951514

URL: Volltext

URL: Deutschlandweit zugänglich

URL: Deutschlandweit zugänglich

URL: Inhaltsverzeichnis

URL: FULL  ((Currently Only Available on Campus))

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Umfang: Online Ressource (xvi, 222 Seiten , 24 cm

ISBN: 9781848449138

Anmerkung: Includes bibliographical references and index

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-1-84844-525-3

Sprache: Englisch

Fachgebiete: Wirtschaftswissenschaften

Schlagwort(e): Globalisierung ; Wohlfahrtseffekt ; Wirtschaftsentwicklung ; Antiglobalisierungsbewegung

URL: Volltext  (Deutschlandweit zugänglich)

URL: Deutschlandweit zugänglich

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Umfang: X, 326 Seiten , zahlr. Ill., graph. Darst. , 24 cm

ISBN: 9781118083468 , 1118083466

Inhalt: Methoden, Designmethode, Designmethoden

Anmerkung: Includes index

Weitere Ausg.: ISBN 9781118330241

Weitere Ausg.: ISBN 9781118330883

Weitere Ausg.: ISBN 9781118333068

Weitere Ausg.: ISBN 9781118392188

Weitere Ausg.: ISBN 9781118392195

Weitere Ausg.: Online-Ausg. Kumar, Vijay 101 design methods Hoboken, N.J : John Wiley & Sons, 2013 ISBN 9781118333068

Weitere Ausg.: ISBN 9781283598859

Weitere Ausg.: ISBN 128359885X

Weitere Ausg.: Erscheint auch als Online-Ausgabe Kumar, Vijay 101 Design Methods Hoboken : Wiley, 2012 ISBN 9781118333068

Sprache: Englisch

Fachgebiete: Informatik , Wirtschaftswissenschaften , Allgemeines

Schlagwort(e): Management ; Prozessorganisation ; Visualisierung ; Design Thinking ; Innovationsprozess ; Handbooks and manuals

URL: Cover

URL: Inhaltsverzeichnis

URL: http://bvbr.bib-bvb.de:8991/exlibris/aleph/a22_1/apache_media/1I6YRIUNQ2GYEYFSDJFRMSAL2A6R42.pdf

URL: http://www.gbv.de/dms/zbw/689317697.pdf

UID:

Umfang: 1 Online-Ressource (x, 505 Seiten) , Illustrationen

ISBN: 9781781004982

Inhalt: "Customer equity has emerged as the most important metric to manage firm performance. This Handbook covers a broad range of strategic and tactical issues related to defining, measuring, managing, and implementing the customer equity metric for maximizing firm performance. Drawing upon the wisdom of a global pool of leading scholars, the book serves as a comprehensive and authoritative guide on customer lifetime value and customer equity for marketing researchers, practitioners, and students worldwide"...Provided by publisher

Anmerkung: Includes bibliographical references and index

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 1-78100-497-8

Sprache: Englisch

Schlagwort(e): Electronic books ; Electronic books

URL: Volltext  (URL des Erstveröffentlichers)

URL: Volltext

URL: Deutschlandweit zugänglich

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URL: Inhaltsverzeichnis

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Mehr zum Autor: Kumar, V. 1957-

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Umfang: Online-Ressource (XIX, 144 p. 5 illus, online resource)

ISBN: 9788132220145

Serie: SpringerBriefs in Environmental Science

Inhalt: This book discusses the important issue of the socioeconomic and environmental impacts of agricultural residue burning, common in agricultural practices in many parts of the world. In particular, it focuses on the pollution caused by rice residue burning using primary survey data from Punjab, India. It discusses emerging solutions to agricultural waste burning that are cost-effective in terms of both money and time. The burning of agricultural residue causes severe pollution in land, water and air and contributes to increased ozone levels and climate change in the long term. However, appropriate assessments have not been undertaken so far to demonstrate the relevant impact of agriculture-based pollution, especially residue burning. This book addresses this gap in the literature. Punjab has been used as a case study as it is the chief granary of India, contributing to 27.2 percent of the Indian national produce of rice and 43.8 percent of wheat. It is presumed that the findings from this state will be useful not only for other agricultural areas in India, but across the world. This book, therefore, sensitizes policy makers, researchers and students about the impacts of air pollution caused by agricultural residue burning---a subject not much dealt in the literature---and provides a way forward

Weitere Ausg.: ISBN 9788132221463

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-81-322-2146-3

Sprache: Englisch

Schlagwort(e): Electronic books. ; Electronic books.

DOI: 10.1007/978-81-322-2014-5

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URL: Cover

URL: Click here to view book

URL: SpringerLink

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Umfang: 1 online resource (576 pages)

Ausgabe: 1st ed.

ISBN: 9789464632224

Serie: Atlantis Highlights in Intelligent Systems Series v.9

Inhalt: Intro -- Preface -- Organization -- Contents -- Peer-Review Statements -- 1 Review Procedure -- 2 Quality Criteria -- 3 Key Metrics -- Digital Economy Enabling High-Quality Manufacturing Development: Evidence from Chinese Provincial Data -- 1 Introduction -- 2 Theoretical Mechanism and Research Hypothesis -- 2.1 Digital Economy Enables the Direct Mechanism of Action of High-Quality Manufacturing Development -- 2.2 Digital Economy, Innovation Effect and High-Quality Development of Manufacturing -- 2.3 Digital Economy, Efficient Resource Allocation and High-Quality Development of Manufacturing -- 3 Study Design -- 3.1 Model Building -- 3.2 Variable Selection and Data Sources -- 4 Empirical Analysis -- 4.1 Baseline Regression Analysis -- 4.2 Endogeneity Analysis -- 4.3 Subregional Inspection -- 4.4 Mechanism of Action Analysis -- 5 Conclusions -- References -- The Lexicon Construction and Quantitative Research of Digital Economy Policy Texts -- 1 Introduction -- 2 Research Status -- 3 Lexicon Construction of Digital Economic Policy -- 3.1 Data Sources -- 3.2 Neologism Discovery -- 3.3 Comparison of Segmentation Effect -- 4 Classification of Policy Text -- 4.1 Experimental Data -- 4.2 Model and Parameter -- 4.3 Experimental Result -- 5 Analysis of Policy Hotspots -- 5.1 Policy Keywords -- 5.2 Policy Topics -- 6 Conclusion -- References -- Measurement and Evaluation of Provincial Digital Economy Development Efficiency -- 1 Introduction -- 2 Provincial Digital Economy Development Level Measurement -- 2.1 Construction of Indicator System -- 2.2 Data Sources -- 2.3 Analysis of Results -- 3 Analysis of Provincial Digital Economy Output Efficiency -- 3.1 Research Models -- 3.2 Empirical Results and Analysis -- 4 Conclusions and Recommendations -- 4.1 Conclusions -- 4.2 Research Recommendations -- References.

Anmerkung: Description based on publisher supplied metadata and other sources

Weitere Ausg.: ISBN 9789464632217

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 9789464632217

Sprache: Englisch

Schlagwort(e): Electronic books. ; Electronic books

URL: lizenzpflichtig

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Umfang: 1 online resource (109 pages)

ISBN: 9781789246063

Inhalt: The Ganges-Brahmaputra-Meghna deltas has newly emerged 'char' islands, which are very vulnerable, socially, institutionally and environmentally. This book explains how the Governments of Bangladesh and the Netherlands cooperated on a land-based rural development project to give settlers security and purpose.

Inhalt: Front Cover -- Title Page -- Copyright -- Contents -- Figures and Tables -- Contributors -- Glossary -- Acknowledgements -- 1. The Coastal Chars of Bangladesh -- 2. The Birth of CDSP-IV -- 3. Managing Char Development and Settlement: A Complex Process -- 4. Involving the Communities and Civil Society -- 5. Role of Women in Development -- 6. Developing the Infrastructure -- 7. The Land Settlement Process -- 8. The Power of Agriculture -- 9. Money Matters - Savings and Loans -- 10. Environmental Improvement with Trees -- 11. Income and Quality of Life -- 12. Our Pride -- 13. When the Project Leaves -- References -- Back Cover.

Anmerkung: Description based on publisher supplied metadata and other sources

Weitere Ausg.: ISBN 9781789246049

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 9781789246049

Sprache: Englisch

Schlagwort(e): Electronic books

URL: lizenzpflichtig

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Umfang: 1 online resource (465 pages)

Ausgabe: 1st ed.

ISBN: 9781789134759

Inhalt: Python Deep Learning Projects book will simplify and ease how deep learning works, and demonstrate how neural networks play a vital role in exploring predictive analytics across different domains. You will explore projects in the field of computational linguistics, computer vision, machine translation, pattern recognition and many more

Anmerkung: Cover -- Title Page -- Copyright and Credits -- Dedication -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Building Deep Learning Environments -- Building a common DL environment -- Get focused and into the code! -- DL environment setup locally -- Downloading and installing Anaconda -- Installing DL libraries -- Setting up a DL environment in the cloud -- Cloud platforms for deployment -- Prerequisites -- Setting up the GCP -- Automating the setup process -- Summary -- Chapter 2: Training NN for Prediction Using Regression -- Building a regression model for prediction using an MLP deep neural network -- Exploring the MNIST dataset -- Intuition and preparation -- Defining regression -- Defining the project structure -- Let's code the implementation! -- Defining hyperparameters -- Model definition -- Building the training loop -- Overfitting and underfitting -- Building inference -- Concluding the project -- Summary -- Chapter 3: Word Representation Using word2vec -- Learning word vectors -- Loading all the dependencies -- Preparing the text corpus -- Defining our word2vec model -- Training the model -- Analyzing the model -- Plotting the word cluster using the t-SNE algorithm -- Visualizing the embedding space by plotting the model on TensorBoard -- Building language models using CNN and word2vec -- Exploring the CNN model -- Understanding data format -- Integrating word2vec with CNN -- Executing the model -- Deploy the model into production -- Summary -- Chapter 4: Building an NLP Pipeline for Building Chatbots -- Basics of NLP pipelines -- Tokenization -- Part-of-Speech tagging -- Extracting nouns -- Extracting verbs -- Dependency parsing -- NER -- Building conversational bots -- What is TF-IDF? -- Preparing the dataset -- Implementation -- Creating the vectorizer -- Processing the query -- Rank results , Advanced chatbots using NER -- Installing Rasa -- Preparing dataset -- Training the model -- Deploying the model -- Serving chatbots -- Summary -- Chapter 5: Sequence-to-Sequence Models for Building Chatbots -- Introducing RNNs -- RNN architectures -- Implementing basic RNNs -- Importing all of the dependencies -- Preparing the dataset -- Hyperparameters -- Defining a basic RNN cell model -- Training the RNN Model -- Evaluation of the RNN model -- LSTM architecture -- Implementing an LSTM model -- Defining our LSTM model -- Training the LSTM model -- Evaluation of the LSTM model -- Sequence-to-sequence models -- Data preparation -- Defining a seq2seq model -- Hyperparameters -- Training the seq2seq model -- Evaluation of the seq2seq model -- Summary -- Chapter 6: Generative Language Model for Content Creation -- LSTM for text generation -- Data pre-processing -- Defining the LSTM model for text generation -- Training the model -- Inference and results -- Generating lyrics using deep (multi-layer) LSTM -- Data pre-processing -- Defining the model -- Training the deep TensorFlow-based LSTM model -- Inference -- Output -- Generating music using a multi-layer LSTM -- Pre-processing data -- Defining the model and training -- Generating music -- Summary -- Chapter 7: Building Speech Recognition with DeepSpeech2 -- Data preprocessing -- Corpus exploration -- Feature engineering -- Data transformation -- DS2 model description and intuition -- Training the model -- Testing and evaluating the model -- Summary -- Chapter 8: Handwritten Digits Classification Using ConvNets -- Code implementation -- Importing all of the dependencies -- Exploring the data -- Defining the hyperparameters -- Building and training a simple deep neural network -- Fitting a model -- Evaluating a model -- MLP - Python file -- Convolution -- Convolution in Keras -- Fitting the model , Evaluating the model -- Convolution - Python file -- Pooling -- Fitting the model -- Evaluating the model -- Convolution with pooling - Python file -- Dropout -- Fitting the model -- Evaluating the model -- Convolution with pooling - Python file -- Going deeper -- Compiling the model -- Fitting the model -- Evaluating the model -- Convolution with pooling and Dropout - Python file -- Data augmentation -- Using ImageDataGenerator -- Fitting ImageDataGenerator -- Compiling the model -- Fitting the model -- Evaluating the model -- Augmentation - Python file -- Additional topic - convolution autoencoder -- Importing the dependencies -- Generating low-resolution images -- Scaling -- Defining the autoencoder -- Fitting the autoencoder -- Loss plot and test results -- Autoencoder - Python file -- Conclusion -- Summary -- Chapter 9: Object Detection Using OpenCV and TensorFlow -- Object detection intuition -- Improvements in object detection models -- Object detection using OpenCV -- A handcrafted red object detector -- Installing dependencies -- Exploring image data -- Normalizing the image -- Preparing a mask -- Post-processing of a mask -- Applying a mask -- Object detection using deep learning -- Quick implementation of object detection -- Installing all the dependencies -- Implementation -- Deployment -- Object Detection In Real-Time Using YOLOv2 -- Preparing the dataset -- Using the pre-existing COCO dataset -- Using the custom dataset -- Installing all the dependencies -- Configuring the YOLO model -- Defining the YOLO v2 model -- Training the model -- Evaluating the model -- Image segmentation -- Importing all the dependencies -- Exploring the data -- Images -- Annotations -- Preparing the data -- Normalizing the image -- Encoding -- Model data -- Defining hyperparameters -- Define SegNet -- Compiling the model -- Fitting the model , Testing the model -- Conclusion -- Summary -- Chapter 10: Building Face Recognition Using FaceNet -- Setup environment -- Getting the code -- Building the Docker image -- Downloading pre-trained models -- Building the pipeline -- Preprocessing of images -- Face detection -- Aligning faces -- Feature extraction -- Execution on Docker -- Training the classifier -- Evaluation -- Summary -- Chapter 11: Automated Image Captioning -- Data preparation -- Initialization -- Download and prepare the MS-COCO dataset -- Data preparation for a deep CNN encoder -- Performing feature extraction -- Data prep for a language generation (RNN) decoder -- Setting up the data pipeline -- Defining the captioning model -- Attention -- CNN encoder -- RNN decoder -- Loss function -- Training the captioning model -- Evaluating the captioning model -- Deploying the captioning model -- Summary -- Chapter 12: Pose Estimation on 3D models Using ConvNets -- Code implementation -- Importing the dependencies -- Exploring and pre-processing the data -- Preparing the data -- Cropping -- Resizing -- Plotting the joints and limbs -- Transforming the images -- Defining hyperparameters for training -- Building the VGG16 model -- Defining the VGG16 model -- Training loop -- Plot training and validation loss -- Predictions -- Scripts in modular form -- Module 1 - crop_resize_transform.py -- Module 2 - plotting.py -- Module 3 - test.py -- Module 4 - train.py -- Conclusion -- Summary -- Chapter 13: Image Translation Using GANs for Style Transfer -- Let's code the implementation! -- Importing all of the dependencies -- Exploring the data -- Preparing the data -- Type conversion, centering, and scaling -- Masking/inserting noise -- Reshaping -- MNIST classifier -- Defining hyperparameters for GAN -- Building the GAN model components -- Defining the generator -- Defining the discriminator , Defining the DCGAN -- Training GAN -- Plotting the training - part 1 -- Plotting the training - part 2 -- Training loop -- Predictions -- CNN classifier predictions on the noised and generated images -- Scripts in modular form -- Module 1 - train_mnist.py -- Module 2 - training_plots.py -- Module 3 - GAN.py -- Module 4 - train_gan.py -- The conclusion to the project -- Summary -- Chapter 14: Develop an Autonomous Agent with Deep R Learning -- Let's get to the code! -- Deep Q-learning -- Importing all of the dependencies -- Exploring the CartPole game -- Interacting with the CartPole game -- Loading the game -- Resetting the game -- Playing the game -- Q-learning -- Defining hyperparameters for Deep Q Learning (DQN) -- Building the model components -- Defining the agent -- Defining the agent action -- Defining the memory -- Defining the performance plot -- Defining replay -- Training loop -- Testing the DQN model -- Deep Q-learning scripts in modular form -- Module 1 - hyperparameters_dqn.py -- Module 2 - agent_replay_dqn.py -- Module 3 - test_dqn.py -- Module 4 - train_dqn.py -- Deep SARSA learning -- SARSA learning -- Importing all of the dependencies -- Loading the game environment -- Defining the agent -- Training the agent -- Testing the agent -- Deep SARSA learning script in modular form -- The conclusion to the project -- Summary -- Chapter 15: Summary and Next Steps in Your Deep Learning Career -- Python deep learning - building the foundation - two projects -- Chapter 1 - Building the Deep Learning Environment -- Chapter 2 - Training NN for Prediction Using Regression -- Python deep learning - NLP - 5 projects -- Chapter 3 - Word Representations Using word2vec -- Chapter 4 - Build an NLP Pipeline for Building Chatbots -- Chapter 5 - Sequence-to-Sequence Models for Building Chatbots -- Chapter 6 - Generative Language Model for Content Creation , Chapter 7 - Building Speech Recognition with DeepSpeech2

Weitere Ausg.: Print version Lamons, Matthew Python Deep Learning Projects Birmingham : Packt Publishing, Limited,c2018 ISBN 9781788997096

Sprache: Englisch

Schlagwort(e): Electronic books

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Umfang: pages cm , cm.

Ausgabe: 5th edition.

ISBN: 9781526449900 (pbk.) , 9781526449894 (hardback)

Sprache: Englisch