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Water Distribution System Monitoring - Abigail F. Cantor - Bog - Taylor & Francis Ltd - Plusbog.dk

Water Distribution System Monitoring - Abigail F. Cantor - Bog - Taylor & Francis Ltd - Plusbog.dk

To keep drinking water safe involves more than following the letter of the law. This book introduces a comprehensive perspective and a proactive step-by-step approach to maintaining drinking water quality in distribution systems, and aids in delivering verifiably safe and economical water to end users. This second edition is updated throughout, and reflects the latest processes for improving drinking water quality in water systems and bringing those systems into compliance with the Lead and Copper Rule, the Disinfection By-Products Rule, and the Total Coliform Rule. It also presents the latest techniques for calming discolored water issues, keeping microbiological growth and biofilm formation in check, and preventing the formation of pinhole leaks in copper pipes. The book also aids in determining side effects of treatment chemicals, achieving simultaneous compliance with multiple regulations, and optimizing treatment chemical dosages. A typical water distribution system is complex and chaotic with varying piping configurations, water flows, chemical reactions, and microbiological activity. It is, therefore, no surprise that monitoring and assessing water quality can be a daunting task. Water Distribution System Monitoring: A Practical Approach for Evaluating Drinking Water Quality simplifies this task by providing the tools for well-defined and measurable control of water quality.

DKK 810.00
3

Professional Feature Writing - Bruce Garrison - Bog - Taylor & Francis Ltd - Plusbog.dk

Professional Feature Writing - Bruce Garrison - Bog - Taylor & Francis Ltd - Plusbog.dk

Professional Feature Writing provides an essential introduction to the basics of news media feature writing and establishes a solid foundation for students and writers making feature writing their careers. This sixth edition offers a thorough and up-to-date look at newspapers, magazines, newsletters, and online publications, with emphasis on daily newspapers, consumer magazines, and online news. Special attention is paid to writing skills, feature story types, and the collegiate and professional writing life, and the text is filled with practical guidance for writing a wide variety of features, drawing on insights from both junior and experienced writers, editors, and publishers. Alongside a solid tour of forms and approaches to feature writing, the author includes lists of tips, observations, guidelines, sources, and story ideas. New to this edition are: - Three chapters covering interviewing and observation in features, social media in feature writing, and writing social trends features; - Updated international examples of feature writing, integrated throughout the text; - Additional and expanded discussion about writing features for online publications and the uses of social media in gathering information and reporting; - Increased attention to multimedia and the impact of new technologies on the industry. Building on introductory writing and reporting skills, this text is appropriate for upper-division journalism students learning feature writing and advanced writing topics. It will also serve as a valuable resource for freelance writers.

DKK 646.00
3

The Global Copper Industry - Problems and Prospects - Bog af Raymond F. Mikesell - Paperback

The Global Copper Industry - Problems and Prospects - Bog af Raymond F. Mikesell - Paperback

Originally published in 1988. Copper is one of the most actively traded commodities. It is a crucial commodity for industrialised countries, most of which depend on imports for their supplies. Copper is also the single most important export for many of the producer-countries. Changes in the patterns of the world trade in copper therefore have an important impact on many countries. This book surveys the state of the world copper industry as it was in the 1980s. It discusses the state of production,..

DKK 365.95
3

Feature Engineering for Machine Learning and Data Analytics - - Bog - Taylor & Francis Ltd - Plusbog.dk

Feature Engineering for Machine Learning and Data Analytics - - Bog - Taylor & Francis Ltd - Plusbog.dk

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive introduction to feature engineering, including feature generation, feature extraction, feature transformation, feature selection, and feature analysis and evaluation. The book presents key concepts, methods, examples, and applications, as well as chapters on feature engineering for major data types such as texts, images, sequences, time series, graphs, streaming data, software engineering data, Twitter data, and social media data. It also contains generic feature generation approaches, as well as methods for generating tried-and-tested, hand-crafted, domain-specific features. The first chapter defines the concepts of features and feature engineering, offers an overview of the book, and provides pointers to topics not covered in this book. The next six chapters are devoted to feature engineering, including feature generation for specific data types. The subsequent four chapters cover generic approaches for feature engineering, namely feature selection, feature transformation based feature engineering, deep learning based feature engineering, and pattern based feature generation and engineering. The last three chapters discuss feature engineering for social bot detection, software management, and Twitter-based applications respectively. This book can be used as a reference for data analysts, big data scientists, data preprocessing workers, project managers, project developers, prediction modelers, professors, researchers, graduate students, and upper level undergraduate students. It can also be used as the primary text for courses on feature engineering, or as a supplement for courses on machine learning, data mining, and big data analytics.

DKK 467.00
3

Feature Engineering for Machine Learning and Data Analytics - - Bog - Taylor & Francis Ltd - Plusbog.dk

Feature Engineering for Machine Learning and Data Analytics - - Bog - Taylor & Francis Ltd - Plusbog.dk

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive introduction to feature engineering, including feature generation, feature extraction, feature transformation, feature selection, and feature analysis and evaluation. The book presents key concepts, methods, examples, and applications, as well as chapters on feature engineering for major data types such as texts, images, sequences, time series, graphs, streaming data, software engineering data, Twitter data, and social media data. It also contains generic feature generation approaches, as well as methods for generating tried-and-tested, hand-crafted, domain-specific features. The first chapter defines the concepts of features and feature engineering, offers an overview of the book, and provides pointers to topics not covered in this book. The next six chapters are devoted to feature engineering, including feature generation for specific data types. The subsequent four chapters cover generic approaches for feature engineering, namely feature selection, feature transformation based feature engineering, deep learning based feature engineering, and pattern based feature generation and engineering. The last three chapters discuss feature engineering for social bot detection, software management, and Twitter-based applications respectively. This book can be used as a reference for data analysts, big data scientists, data preprocessing workers, project managers, project developers, prediction modelers, professors, researchers, graduate students, and upper level undergraduate students. It can also be used as the primary text for courses on feature engineering, or as a supplement for courses on machine learning, data mining, and big data analytics.

DKK 1042.00
1

The Global Copper Industry - Raymond F. Mikesell - Bog - Taylor & Francis Ltd - Plusbog.dk

The Global Copper Industry - Raymond F. Mikesell - Bog - Taylor & Francis Ltd - Plusbog.dk

Originally published in 1988. Copper is one of the most actively traded commodities. It is a crucial commodity for industrialised countries, most of which depend on imports for their supplies. Copper is also the single most important export for many of the producer-countries. Changes in the patterns of the world trade in copper therefore have an important impact on many countries. This book surveys the state of the world copper industry as it was in the 1980s. It discusses the state of production, demand and trade and assesses trends. Special emphasis is given to the outlook for over capacity, prices and competitive structure.

DKK 1110.00
3