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With the increase in popularity of healthcare cloud solutions, complexity in securing massive distributed Software as a Service (SaaS) solutions increases with varying data sources and formats.
Further, most enterprises are either over-served by existing solutions' complexity, or underserved in the areas that are most important today: mobility, social, ease of use, speed, etc. Using focus as a competitive weapon, startups can ensure that large incumbents simply can't respond adequately to new customer demands and waves of technology.
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The article proposes a new logic and method for tackling the major challenges of design for functional safety and IT security which is essentially based on reducing the design solutions' complexities by integration.
The obtained results highlight a good trade off between solution complexity and achieved performances.
Due to solution complexity, manual computation to obtain solutions may produce erroneous results.
Recall that the solution complexity is roughly proportional to the dictionary size m×n and the sparsity k.
It is shown that the suggested approach to fault diagnosis is in particular advantageous in terms of solution complexity and performance.
Thus, black-box modelling and output estimation approaches to fault diagnosis are in particular advantageous in terms of solution complexity and performance achieved.
Many engineering optimization problems frequently encounter discrete variables as well as continuous variables and the presence of nonlinear discrete variables considerably adds to the solution complexity.
The paper focuses on methodological issues concerning choice of an appropriate model abstraction level, adoption of a compositional modeling approach, and mainly, management of model solution complexity.
The cell formation problem is considered as NP-hard (nondeterministic polynomial hard) combinatorial optimization problem due to solution complexity (Bayram and Sahin 2016; Rodriguez Leon et al. 2013).
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