Learn IT - Books tags temporal

Bayesian Networks in R: with Applications in Systems Biology (Use R!)

Springer, 2013

While there have been significant advances in capturing data from the entities across complex real-world systems, their associations and relationships are largely unknown. Associations between the entities may reveal interesting system-level properties that may not be apparent otherwise. Often these associations are hypothesized...

Modelling Distributed Energy Resources in Energy Service Networks (Iet Renewable Energy)

Institution of Engineering and Technology, 2013

Modelling Distributed Energy Resources in Energy Service Networks focuses on modelling two key infrastructures in urban energy systems with embedded technologies. These infrastructures are natural gas and electricity networks and the embedded technologies include cogeneration and electric vehicle devices. The subject is addressed using...

Protocol Engineering

Springer, 2012

Communication protocols form the operational basis of computer networks and telecommunication systems. They are behavior conventions that describe how communication systems interact with each other, defining the temporal order of the interactions and the formats of the data units exchanged – essentially they determine the...

Online Storage Systems and Transportation Problems with Applications: Optimization Models and Mathematical Solutions

Springer, 2006

This book covers the analysis and development of online algorithms
involving exact optimization and heuristic techniques, and their application
to solve two real life problems.

The first problem is concerned with a complex technical system: a
special carousel based high-speed storage system - Rotastore. It is shown...

Fundamentals of Digital Image Processing

Prentice Hall, 1988

Presents a thorough overview of the major topics of digital image processing, beginning with the basic mathematical tools needed for the subject. Includes a comprehensive chapter on stochastic models for digital image processing. Covers aspects of image representation including luminance, color, spatial and temporal properties of vision, and...

Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence)

World Scientific Publishing, 2004

Traditional data mining methods are designed to deal with “static” databases, i.e. databases where the ordering of records (or other database objects) has nothing to do with the patterns of interest. Though the assumption of order irrelevance may be sufficiently accurate in some applications, there are certainly many other cases, where...

Fundamentals of Database Systems (3rd Edition)

Addison Wesley, 1999

Fundamentals of Database Systems combines clear explanations of theory and design, broad coverage of models and real systems, and excellent examples with up-to-date introductions to modern database technologies. This edition is completely revised and updated, and reflects the latest trends in technological and application development....

Systems Analysis and Design for Advanced Modeling Methods: Best Practices (Advances in Database Research)

Information Science Publishing, 2009

Systems analysis and design (SAND) is an evolving field that still represents the point where business and technology intersects. As discussed in (Bajaj, Batra, Hevner, Parsons, & Siau, 2005), SAND represents the core of management information systems (MIS) curricula but is underrepresented in the area of MIS research. The...

Monitoring, Security, and Rescue Techniques in Multiagent Systems (Advances in Soft Computing)

Springer, 2005

In todays society the issue of security, understood in the widest context, have become a crucial one. The people of the information age, having instant access to the sources of knowledge and information expect the technology to improve their safety in all respects. That, straightforwardly, leads to the demand for methods, technologies, frameworks...

Learning Classifier Systems: From Foundations to Applications

Springer, 2000

Learning classier systems are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal dierence learning.

From the beginning, classier systems have attracted...

A Synthesis of Time: Zakat, Islamic Micro-finance and the Question of the Future in 21st-Century Indonesia

Palgrave Macmillan, 2020

This book is an anthropological investigation into the different forms the economy assumes, and the different purposes it serves, when conceived from the perspective of Islamic micro-finance as a field of everyday practice. It is based on long-term ethnographic research in Java, Indonesia, with Islamic foundations active in managing...

Temporal Logic for Real-Time Systems (Advanced Software Development Series)

John Wiley & Sons, 1989

This monograph presents a framework for modelling, specifying and verifying systems composed of real-time discrete event processes. A discrete event system consists of the plant (the object to be controlled) and a controller. For example, the plant might consist of machines, robots and conveyors on the factory floor. The objective of...

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