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VJCS is a new international journal addressing all subdisciplines of computer science, with a particular emphasis on information systems and knowledge engineering, artificial intelligence, soft computing including computational intelligence, agents and multiagent systems, Web intelligence, and optimization.
Such a design space exploration is a necessary part of the study of hardware architectures for large-scale computational models for intelligent computing, including AI, Bayesian, bio-inspired and neural models.
They work in more than 55 areas of computing, including algorithm theory, cryptography and computational biology.
All computers and platforms will function well for casual computing, including web browsing, document manipulation, scheduling and management, and multimedia playback.
The adaptive sampling Markov state model approach significantly increases the efficiency of simulation as it avoids computation inside the local energy minimum itself, and is amenable to distributed computing (including on GPUGRID) as it allows for the statistical aggregation of short, independent simulation trajectories.
We suggest computational model of financial time series analysis, which combines several approaches of soft computing, including information efficiency evaluation methods (Shannon's entropy, Hurst exponent), neural networks and sensitivity analysis.
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Technical computing includes mathematical computation, analysis, visualization, and algorithm development.
Software applications that are expected to benefit from the increased power of 64-bit computing include large databases; digital content creation, computer-aided design; security and encryption; Internet content delivery; simulations; weather prediction, and oil exploration.
Recent works in workload modeling that are relevant to cloud computing include [20]-[22] [20]-[22]
Convergent model of distributed computing includes four levels of processing and two levels of storage.
Other VWN projects that have utilized cloud computing include the 'wireless network cloud' (WNC) project[173].
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