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DEVELOPMENT OF A MULTI-MODE SELF-ADAPTIVE ALGORITHM TO
, 2014
"... Development of a multi-mode self-adaptive algorithm to create an efficient wireless network on a university campus ..."
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Development of a multi-mode self-adaptive algorithm to create an efficient wireless network on a university campus
Research on Self-adaptive Algorithm in Self-adaptive Web System
"... Abstract. With the development of Internet and Web technologies, Web system is quickly applied to all walks of life. At the same time, it produces a variety of different terminal types and different user demands. How to make the Web system adapt to the access of PC, smart phones, tablet computers an ..."
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and other devices with different hardware platforms and different browsers, so we have studied self-adaptive Web system, and designed a kind of self-adaptive algorithm. They have been applied to the system of independent learning platform.
A DIGITAL PREDISTORTION THEORY BASED ON SELF-ADAPTIVE ALGORITHM
"... In this paper, the author researches the problem of the analysis and optimization of broadband digital predistortion. In the development process of mobile communication system, improving the transmission quality and spectral efficiency always acts as a main research focus. As the traditional multi-c ..."
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on broadband self-adaptivity, updates and optimizes the parameters of pre-distorter with improved self-adaptive algorithm. The simulation results prove that the predistorter could improve the spectrum out of band for about 12dB through the self-adaptive algorithm, which effectively compensates the nonlinear
An Iterative Self-adaptive Algorithm to Impulse Noise Filtering for Color Images
"... Based on a simple impulse detector, an iterative self-adaptive algorithm to impulsive noise filtering for color images is presented in this paper. First, a simple but effective impulse detector is used in detecting the noise pixels in color images. Then, if a pixel is detected as a corrupted one acc ..."
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Cited by 1 (0 self)
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Based on a simple impulse detector, an iterative self-adaptive algorithm to impulsive noise filtering for color images is presented in this paper. First, a simple but effective impulse detector is used in detecting the noise pixels in color images. Then, if a pixel is detected as a corrupted one
Hybrid Self-Adaptive Algorithm for Community Detection in Complex Networks
"... The study of community detection algorithms in complex networks has been very active in the past several years. In this paper, a Hybrid Self-adaptive Community Detection Algorithm (HSCDA) based on modularity is put forward first. In HSCDA, three different crossover and two different mutation operat ..."
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The study of community detection algorithms in complex networks has been very active in the past several years. In this paper, a Hybrid Self-adaptive Community Detection Algorithm (HSCDA) based on modularity is put forward first. In HSCDA, three different crossover and two different mutation
Research Article SWR: Smartness Provided by Simple, Efficient, and Self-Adaptive Algorithm
"... License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Resource limitations of sensor nodes in wireless sensor networks (WSN) bound the performance on its implementations. Main concern becomes utilizing these limited resou ..."
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to the sink node over multiple paths. Moreover, nodes have the ability of recovering from voids. Nodes process each packet independently and apply an adaptive approach according to the current conditions. These mechanisms are part of the applied simple routing algorithm, the SWR. The resultant
A context aware self-adapting algorithm for managing the energy efficiency of it service centers. The Ubiquitous Computing Journal (UBICC
, 2010
"... This paper addresses the problem of run-time management of a service centre energy efficiency by using a context aware self-adapting algorithm. The algorithm considers the service centre current context situation and predefined Green/Key Performance Indicators (GPI/KPI) to adapt and optimize the ser ..."
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Cited by 3 (1 self)
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This paper addresses the problem of run-time management of a service centre energy efficiency by using a context aware self-adapting algorithm. The algorithm considers the service centre current context situation and predefined Green/Key Performance Indicators (GPI/KPI) to adapt and optimize
AREA: an Automatic Runtime Evolutionary Adaptation mechanism for Creating Self-Adaptation Algorithms in Wireless Networks
"... Abstract—The application requirements and the spatial environments of wireless networks continue to become more and more complex and changeable. Most existing algorithms for wireless sensor networks are designed with a specific type of environment in mind. While such algorithms work well in the envi ..."
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Cited by 1 (1 self)
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to automatically adapt, during runtime, to the variation of environments in wireless networks. This adaption is realized by self-creating and selfevolving algorithms: AREA allows the created algorithm not only to be adaptive but also to evolve to other adaptive abilities according to the variation
A Self-adaptive Algorithm for Topology Matching in Unstructured Peer-to-Peer Networks
, 2014
"... Abstract Peer-to-peer networks are overlay networks that are constructed over underlay networks. These networks can be structured or unstructured. In these networks, peers choose their neighbors without considering underlay positions, and therefore, the resultant overlay network may have a large num ..."
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information about the neighbors of that peer located in its neighborhood radius. In these algorithms, each peer also uses a local operator for changing the connections among the peers. These matching algorithms suffer from two problems; neither the neighborhood radius nor the local operator can adapt
ARTIFICIAL INTELLIGENCE AND APPLICATIONS A Self Adaptive Algorithm for Classification Based on Negative Selection Technique
"... In the last decade, classifiers have been presented using Artificial Immune (AI) technique. However, AI-based classifiers have two major problems, setting predefined parameters and generating detector set. This is because to select an appropriate value for a parameter, it needs detail of dataset and ..."
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limitations, in this paper, a novel algorithm called Negative Selection-based Self Adaptive Classifier (NSSAC) is described. This algorithm uses an adaptive technique to calculate the predefined parameters, specifically threshold distance, and a deterministic technique to generate memory cell. The classifier
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