الصفحة 2
الصفحة 2
Designing green landscapes
This book presents the latest thinking in adaptive management for forest ecosystems. Based on the ‘multiple path’ principle, this approach links species choice and silvicultural methods with changing demands and changing environmental conditions, to ensure continuous adaptation, often several times within the lifetime of a tree. The ‘multiple path’ principle at the core of this approach represents a robust theoretical framework for designing forested landscapes. It provides a logical basis both for coordinating spatial objectives and for integrating varied forms of expertise; it limits planning horizons to realistic timeframes; and it allows for forecasts based on current real attributes of spatially explicit land parcels. This is in stark contrast with traditional forestry practices which simply assess the forest resource at regular time intervals and prescribe standard management schedules for specific forest types.
Data Quality and Record Linkage Techniques
This book helps practitioners gain a deeper understanding, at an applied level, of the issues involved in improving data quality through editing, imputation, and record linkage. The first part of the book deals with methods and models. Here, we focus on the Fellegi-Holt edit-imputation model, the Little-Rubin multiple-imputation scheme, and the Fellegi-Sunter record linkage model. Brief examples are included to show how these techniques work. In the second part of the book, the authors present real-world case studies in which one or more of these techniques are used. They cover a wide variety of application areas. These include mortgage guarantee insurance, medical, biomedical, highway safety, and social insurance as well as the construction of list frames and administrative lists.
Data Algorithms with Spark
Apache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark. you will: Learn how to select Spark transformations for optimized solutions Explore powerful transformations and reductions including reduceByKey(), combineByKey(), and mapPartitions() Understand data partitioning for optimized queries Build and apply a model using PySpark design patterns Apply motif-finding algorithms to graph data Analyze graph data by using the GraphFrames API Apply PySpark algorithms to clinical and genomics data Learn how to use and apply feature engineering in ML algorithms Understand and use practical and pragmatic data design patterns
Conceptualizing Environmental Citizenship for 21st Century Education
This book is about the development of a common understanding of environmental citizenship. It conceptualizes and frames environmental citizenship taking an educational perspective. Organized in four complementary parts, the book first explains the political, economic and societal dimensions of the concept.
Concepts, Frames and Cascades in Semantics, Cognition and Ontology
This book presents novel theoretical, empirical and experimental work exploring the nature of mental representations that support natural language production and understanding, and other manifestations of cognition. One fundamental question raised in the text is whether requisite knowledge structures can be adequately modeled by means of a uniform representational format, and if so, what exactly is its nature. Frames are a key topic covered which have had a strong impact on the exploration of knowledge representations in artificial intelligence, psychology and linguistics; cascades are a novel development in frame theory. Other key subject areas explored are: concepts and categorization, the experimental investigation of mental representation, as well as cognitive analysis in semantics. This book is of interest to students, researchers, and professionals working on cognition in the fields of linguistics, philosophy, and psychology.
Computational formalism : Art history and machine learning
"Computational Formalism investigates examples of art historical analysis in the fields of computer and information sciences, and frames this research in the context of art historiography. The use of machine learning to analyze art images has ushered in a renewed interest in formalism in art history, but these new techniques create new critical challenges for the field"
Manhattan Skyscrapers
This book, stories. The Destruction of Lower Manhattan York skyscraper, steel frames were clad in stone album by photographer Danny brick, or terra cotta and offered the illusion of Sedition, if only to place the entry on Lyons, captured the last remnants of down- monumental mass.
Machine Learning for Multimedia Content Analysis
Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia data, such as digital images, audio streams and motion video programs, exhibit richer structures than simple, isolated data items. A number of pixels in a digital image collectively conveys certain visual content to viewers. A TV video program consists of both audio and image streams that unfold the underlying story. To recognize the visual content of a digital image, or to understand the underlying story of a video program, we may need to label sets of pixels or groups of image and audio frames jointly.
Machine Learning and Data Mining for Computer Security : Methods and Applications
Presents research conducted in academia and industry on methods and applications of machine learning and data mining for problems in computer security and will be of interest to researchers and practitioners, as well students.
Composite structures of steel and concrete : Beams, slabs, columns and frames for buildings
Provides an introduction to the theory and design of composite structures of steel and concrete. Material applicable to both buildings and bridges is included, with more detailed information relating to structures for buildings. Throughout, the design methods are illustrated by calculations in accordance with the Eurocode for composite structures, EN 1994, Part 1-1, 'General rules and rules for buildings' and Part 1-2, 'Structural fire design', and their cross-references to ENs 1990 to 1993.
Analysis, design and construction of steel space frames
Space frames provide a lightweight solution to the problem of creating large span enclosures free from obstructions. They are employed in many major constrcution projects across the world, as documented in this authoritatively written volume.This is the first in-depth book to present all instances and applications of space frames in various engineering schemes. It uses case studies and numerous illustrations to examine steel space frames from their design to their structural engineering performance.
Analysis of Structures by Matrix Methods
Deals with the analysis of engineering structures made of skeletal members and covers the type of structures that are commonly used in practice. It builds up on the subject matter dealing with matrix algebra, analysis of bar elements, special forms of members, stability and vibration of structures, and pin-connected, rigid-plane, and 3D frames. It treats the important step of formulating the overall stiffness matrix of a structure in a systematic and straightforward manner and uses simple mathematical approaches wherever possible.
Affine Density in Wavelet Analysis
Provides the first thorough and comprehensive treatment of irregular wavelet frames by introducing and employing a new notion of affine density as a highly effective tool for examining the geometry of sequences of time-scale indices.
