Türkiyenin en değerli markaları
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Brand Finance Tarafından hazırlanan 2013 Türkiyenin en değerli Markaları listesni görsel olarak sizlere sunuyoruz. Türk Telekomdan Yapı krediye en değerli 10 Türk Markasını Slayta bulabilirsiniz.
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Marka tescili nedir?
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Örnek akıllı saatler
Hazırlayan: Deneyim Patent http://deneyimpatent.weebly.com
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1) The data stream is represented as a matrix and only numeric attributes are considered.
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3) Additional attributes are perturbed using translation transformations, where random numbers generated by a secure function determine whether values are added to or subtracted from the original data.
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- Two-way finite automata are similar to read-only Turing machines in that they have a finite tape that can be read in both directions, but cannot write to the tape.
- Turing machines have an infinite tape that can be read from and written to, allowing them to recognize recursively enumerable languages.
- Both models are examined in their ability to accept the regular language L={anbm|m,n>0}. The two-way finite automata uses two states and transitions between them, while the Turing machine uses four states and transitions between tape symbols.
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Random search performs poorly at detecting deadlocks and data races but can detect starvation in any search space. Hill climbing has low detection rates for deadlocks and data races. Genetic algorithms have the highest detection rates across all fault types, including deadlocks, starvation, and data races, but also have the highest computational cost.
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Voiko työllistyvyyslupaukseen luottaa? TEM:n julkaiseman Työpoliittisen aikak...
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1) The document describes a proposed intelligent system for monitoring and controlling water quality in natural bodies of water using wireless sensor networks and unmanned autonomous vehicles.
2) The system would use sensors to monitor water quality parameters, centralized monitoring to process the data and detect pollution, and controlled UAVs to locate and remove pollution sources.
3) The document discusses two key technical challenges - sensor selection to maximize sensor network lifetime and controlling UAVs over unreliable wireless networks. It proposes algorithms adapted from literature to address these challenges.
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The document proposes a method called Page Count and Snippets Method (PCSM) to estimate semantic similarity between words using information from web search engines. PCSM uses both page counts and lexical patterns extracted from snippets to measure semantic similarity. It defines five page count-based concurrence measures and extracts lexical patterns from snippets to identify semantic relations between words. Support vector machine is used to integrate the similarity scores from page counts and snippet methods. The method is evaluated on benchmark datasets and shows improved correlation compared to existing methods.
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Türkiyenin en değerli markaları
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