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Cell Biology
Cell Biology

The much-anticipated 3rd edition of Cell Biology delivers comprehensive, clearly written, and richly illustrated content to today’s students, all in a user-friendly format. Relevant to both research and clinical practice, this rich resource covers key principles of cellular function and uses them to explain...

Data Mining Using Grammar Based Genetic Programming and Applications
Data Mining Using Grammar Based Genetic Programming and Applications

Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. This book first sets the necessary backgrounds for the reader, including an overview of data mining,...

Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization)
Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization)

Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the...

Mobile Robots: The Evolutionary Approach (Studies in Computational Intelligence)
Mobile Robots: The Evolutionary Approach (Studies in Computational Intelligence)
The design and control of autonomous intelligent mobile robotic systems operating in unstructured changing environments includes many objective difficulties. There are several studies about the ways in which, robots exhibiting some degree of autonomy, adapt themselves to fit in their environments. The application and use of bio-inspired and...
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely...
Big Data, Big Innovation: Enabling Competitive Differentiation through Business Analytics (Wiley and SAS Business Series)
Big Data, Big Innovation: Enabling Competitive Differentiation through Business Analytics (Wiley and SAS Business Series)
INNOVATION, CULTURE, AND BIG DATA ANALYTICS
 
Ignoring the big data hype and diving right into the value proposition, Big Data, Big Innovation takes a long, hard look at making sure that businesses don't stray off course when chasing innovation. It focuses on real-world goals, strategies...
Big Data Analytics: Disruptive Technologies for Changing the Game
Big Data Analytics: Disruptive Technologies for Changing the Game

Bringing a practitioner’s view to big data analytics, this work examines the drivers behind big data, postulates a set of use cases, identifies sets of solution components, and recommends various implementation approaches. This work also addresses and thoroughly answers key questions on this...

Payment System Technologies and Functions: Innovations and Developments
Payment System Technologies and Functions: Innovations and Developments

Payment systems are the indispensable infrastructure for financial markets and business activities. Every commercial trade and financial transaction is finalized only when the final settlement is made through a payment system. If operational failures would occur in a payment system, preventing smooth transfers of funds, national economies and...

Intermediate Robot Building
Intermediate Robot Building

Greetings robot builder!

Over the years, I’ve created many homemade robots (some of which, only the builder could love). However, with each successive robotic generation, I try to gradually expand my knowledge of electronics, mechanics, machining, software, and art by experimenting with new techniques, features, or parts...

Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Optimization is a procedure of finding and comparing feasible solutions until no better solution can be found. Solutions are termed good or bad in terms of an objective, which is often the cost of fabrication, amount of harmful gases, efficiency of a process, product reliability, or other factors A significant portion of research...
Flexible Neuro-Fuzzy Systems : Structures, Learning and Performance Evaluation
Flexible Neuro-Fuzzy Systems : Structures, Learning and Performance Evaluation
Over the last decade fuzzy sets and fuzzy logic introduced in 1965 by
Lotfi Zadeh [113] have been used in a wide range of problem domains
including process control, image processing, pattern recognition and
classification, management, economics and decision making. Specific
applications include washing-machine automation,
...
Natural Computing: 4th International Workshop on Natural Computing
Natural Computing: 4th International Workshop on Natural Computing

The complex behavior of systems in nature is rooted in intricate mechanisms of interaction that often supersede human-made systems in terms of reliability, power efficiency, and computational capacity. Researchers have begun to realize that natural systems are a great source of inspiration for novel algorithms in computation and communication...

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