Some of the findings are based on a number of assumptions and models which may have distorted the results significantly.
These large companies are, in most cases, based on traditional business models which may no longer be suitable for a low carbon economy.
Therefore, these systems often contain multiple damping models, which may lead to great difficulties in analyzing efficiently.
Previous studies have only concerned similarity assessment based on complete 3D models, which may produce unsatisfactory result in practice.
One possible reason is that the human forecasters, using their experience and judgment, may disagree to some degree with the models, which may have known biases.
First because climate sensitivity estimates are derived from computer models which may not correctly capture the various feedbacks on which the result depends.
Spyker hopes to win back customers for Saab by focusing on three or four niche models, which may cost up to $1 billion to develop.
Estimated LNAPL plume velocities compare reasonably with more rigorous numerical models, which may be used in cases where data availability warrant the greater effort entailed.
Current reservoir modeling practice often uses coarse-scale flow simulation models, which may lead to biased results, compared with fine-scale models.
This concern arises from multicollinearity in the models, which may drastically affect model performance in terms of a trade-off scenario for effective water resource management logistics.
However, applying the standard RLS algorithm leads to a global update of all the models, which may be unnecessary depending on the operating conditions of the process.
