نتایج جستجو برای: cuckoo filter

تعداد نتایج: 124999  

Journal: :IJFSA 2017
Thippa Reddy Gadekallu Neelu Khare

Disease forecasting using soft computing techniques is major area of research in data mining in recent years. To classify heart and diabetes diseases, this paper proposes a diagnosis system using cuckoo search optimized rough sets based attribute reduction and fuzzy logic system. The disease prediction is done as per the following steps 1) feature reduction using cuckoo search with rough set th...

Journal: :Biology letters 2014
Sonia Kleindorfer Christine Evans Diane Colombelli-Négrel

Superb fairy-wren (Malurus cyaneus) females use an incubation call to teach their embryos a vocal password to solicit parental feeding care after hatching. We previously showed that high call rate by the female was correlated with high call similarity in fairy-wren chicks, but not in cuckoo chicks, and that parent birds more often fed chicks with high call similarity. Hosts should be selected t...

2014
Ritika Thakur Papiya Dutta

In this paper, an improved method based on evolutionary algorithm for speech signal denoising is proposed. In this approach, the stochastic global optimization techniques such as Artificial Bee Colony(ABC), Cuckoo Search (CS)algorithm, and Particle Swarm Optimization (PSO) technique are exploited for learning the parameters of adaptive filtering function required for optimum performance. It was...

Journal: :CoRR 2015
Mansaf Alam Kishwar Sadaf

Clustering of web search result document has emerged as a promising tool for improving retrieval performance of an Information Retrieval (IR) system. Search results often plagued by problems like synonymy, polysemy, high volume etc. Clustering other than resolving these problems also provides the user the easiness to locate his/her desired information. In this paper, a method, called WSRDC-CSCC...

Journal: :Emu 1910

2013
Milan TUBA

Hard optimization problems that cannot be solved within reasonable time by standard, mathematical, deterministic methods are of great practical interest. Metaheuristics inspired by nature were recently successfully used for such problems. These metaheuristics are based on random Monte-Carlo search guided by simulation of some nature intelligence, especially evolution and swarm intelligence. One...

2012
M. P. Saka E. Doğan

The Cuckoo search algorithm is a recent addition to metaheuristic techniques. It simulates the breeding behaviour of certain cuckoo species into a numerical optimization technique. Cuckoo birds lay their eggs in the nests of other host birds so that their chicks when hatched can be nurtured by the host birds. The optimum design algorithm presented for moment resisting steel frames is based on t...

2015
Andrew J. Klosterman Gregory Ganger

Layered clustering allows unmodified distributed file systems to enjoy many of the benefits of cluster-based file services. By interposing between clients and servers, layered clustering requires no changes to clients, servers, or the client-server protocol. Cuckoo demonstrates one particular use of layered clustering: spreading load among a set of otherwise independent NFS servers. Specificall...

2016
Daniel Hanley Michal Šulc Patricia L R Brennan Mark E Hauber Tomáš Grim Marcel Honza

Evolutionary hypotheses regarding the function of eggshell phenotypes, from solar protection through mimicry, have implicitly assumed that eggshell appearance remains static throughout the laying and incubation periods. However, recent research demonstrates that egg coloration changes over relatively short, biologically relevant timescales. Here, we provide the first evidence that such changes ...

2016
M. A. Elhameed Mahmoud M. Elkholy

Optimal power flow is the most complicated economical problem in power system operation. This is due to the nonlinearity of load flow equations and constraints on voltage, thermal limits and angle and voltage stability. The objective of this problem is to distribute system loads among generators with minimum cost while achieving all equality and inequality constraints. Nowadays, meta heuristic ...

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