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Pervasive computing and social computing are two major computing paradigms of this decade, which have evolved more or less in isolation from each other. Integrating pervasive systems with social media can enhance the users' experience and enable them to form pervasive communities with others that share similar interests, habits, profile, behaviour, to communicate and interact with them, to socialise...
Software cost estimation predicts the amount of effort and development time required to build a software system. It is one of the most critical tasks and it helps the software industries to effectively manage their software development process. There are a number of cost estimation models. The most widely used model is Constructive Cost Model (COCOMO). In this paper, the use of back propagation neural...
In this paper, two architectures neural network (NN) classifier models have been compared, multilayer perceptron (MLP) neural network with back-propagation algorithm and radial basis function (RBF) neural network. Capabilities of the presented architectures have been compared. The feature projection vectors, obtained through the Principal Component Analysis or called Eigenfaces method, are used as...
Software architecture (SA) has been widely advocated as an effective abstraction for modeling, implementing, and evolving complex software systems such as those in distributed, decentralized, heterogeneous and pervasive environments. We intend to investigate two problems related to the domain of those environments: software deployment and reliability. Though many approaches for Architecture-based...
Estimation of systolic and diastolic pressures from the oscillometric waveform is a challenging task in noninvasive electronic blood pressure (BP) monitoring devices. Since the conventional oscillometric algorithms cannot model and extract the complex and nonlinear relationship that may exist between BP and oscillometric waveform, artificial neural networks (NNs) have been proposed as a possible alternative...
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