Yayıncı "IEEE Computer Soc" için listeleme
Toplam kayıt 7, listelenen: 1-7
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Application of Artificial Neural Network (ANN) method to exergy analysis of thermodynamic systems
(IEEE Computer Soc, 2009)Exergy is a way to sustainable development and may be defined as the maximum theoretical useful work, while exergy analysis identifies the sources, the magnitude and the causes of thermodynamic inefficiencies within each ... -
Concurrent scheduling: Efficient heuristics for online large-scale data transfers in distributed real-time environments
(IEEE Computer Soc, 2006)The static staging heuristics proposed in the literature for staging the data items associated with real-time distributed applications adhere to a method by which only one data item is transferred in each communication ... -
Frequency domain subspace-based identification of discrete-time singular power spectra from uniformly spaced measurements
(IEEE Computer Soc, 2012)In this paper, we propose a subspace algorithm for the identification of linear-time-invariant discrete-time systems with more outputs than inputs from measured power spectrum data. The proposed identification algorithm ... -
An Improved Profile-based CF Scheme with Privacy
(IEEE Computer Soc, 2011)Traditional collaborative filtering (CF) systems widely employing k- nearest neighbor (kNN) algorithms mostly attempt to alleviate the contemporary problem of information overload by generating personalized predictions for ... -
Privacy-Preserving Collaborative Filtering on Overlapped Ratings
(IEEE Computer Soc, 2013)To promote recommendation services through prediction quality, there are some privacy-preserving collaborative filtering (PPCF) solutions enabling e-commerce parties to collaborate on partitioned data. It is almost probable ... -
Privacy-Preserving Trust-based Recommendations on Vertically Distributed Data
(IEEE Computer Soc, 2011)Providing recommendations on trusts between entities is receiving increasing attention lately. Customers may prefer different online vendors for shopping. Thus, their preferences about various products might be distributed ... -
Similar or Dissimilar Users? Or Both?
(IEEE Computer Soc, 2009)E-commerce sites utilize collaborative filtering (CF) techniques to offer recommendations to their customers. To recruit new customers and keep the current ones, it is imperative for online vendors to provide accurate ...