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8 Result(s)
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Chapter and Conference Paper
Performance and Analysis of Human Attention Using Single-Channel Wireless EEG Sensor for Medical Application
Specialists are dealing with the improvement of EEG-based human–computer interface for upgrading the personal satisfaction in restorative and additionally non-medicinal applications using the blink of eyes. Suc.....
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Book
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Chapter
Conclusions and Future Directions
The thesis examined different approaches for call admission in a mobile cellular network. Existing models on call admission control usually ignores movement of the mobile station, and thus in most circumstance...
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Chapter
An Overview of Call Admission Control in Mobile Cellular Networks
This chapter provides a thorough overview on call admission control techniques commonly employed in mobile cellular networks. It begins with an introduction to cellular technology, and gradually explores vario...
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Chapter
Call Management in a Cellular Mobile Network Using Fuzzy Comparators
The current literature on mobile communication usually considers the channel assignment and the call admission control as two independent problems. However, in practice these two problems are not fully indepen...
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Chapter
Call Admission Control Using Bio-geography Based Optimization
The chapter proposes a new approach to call admission control in a mobile cellular network using Bio-geography based optimization. Existing algorithms on call admission control either ignore both variation in ...
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Chapter
An Overview of Computational Intelligence Algorithms
This chapter provides an overview of selected computational intelligence algorithms, which will be required to understand the rest of the book. It begins with a review of fuzzy sets and logic, and would gradua...
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Chapter
An Evolutionary Approach to Velocity and Traffic Sensitive Call Admission Control
The chapter proposes a new approach to call admission control in a mobile cellular network using an evolutionary algorithm. Existing algorithms on call admission control either ignore both variation in traffic...
