Cognitive networks can dynamically adapt their operational parameters in response to user needs or changing environmental conditions. They can learn from these adaptations and exploit knowledge to make future decisions.
Cognitive networks are the future, and they are needed simply because they enable users to focus on things other...
The Definitive Guide to SOA: Oracle® Service Bus, Second Edition targets professional software developers and architects who know enterprise development but are new to enterprise service buses (ESBs) and service–oriented architecture (SOA) development. This is the first book to cover a practical approach to SOA using the BEA...
This practical book offers the knowledge and code you need to create cutting-edge mobile applications and games for the iPhone and iPod Touch, using Apple's iPhone SDK. iPhone SDK Application Development introduces you to this development paradigm and the Objective-C language it uses with numerous examples, and also walks you through the many SDK...
Five years ago, we authored “Text Mining: Predictive Methods for Analyzing Unstructured Information.” That book was geared mostly to professional practitioners, but was adaptable to course work with some effort by the instructor. Many topics were evolving, and this was one of the earliest efforts to collect material for predictive...
Learn Docker "infrastructure as code" technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller.
It is not uncommon for a real-world data set to fail to be easily managed. The set may not fit well into access memory or...
This proceedings book contains 37 papers selected from the submissions to the 6th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2019), which was held on 19–20 December, 2019, in Hanoi, Vietnam. The book covers theoretical and algorithmic as well as practical issues connected with...
Objects in three dimensions, and their two-dimensional images, are approximated digitally by sets of voxels ("volume elements") or pixels ("picture elements"), respectively. Digital geometry is the study of geometric properties of digitized objects (or digitized images of objects); it deals both with the definitions of such...
Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.
The overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve are driving the need to devise...
The practical task of building a talking robot requires a theory of how natural language communication works. Conversely, the best way to computationally verify a theory of natural language communication is to demonstrate its functioning concretely in the form of a talking robot, the epitome of human–machine communication. To...