The action costs for high complexity tasks were 22.4 times increased per task per car compared to low complexity tasks.
In fact, as low complexity tasks are automated away, and we become ever more interconnected, it is our emotional intelligence and highest cognitive skills that will matter the most.
On the other hand, these low complexity tasks that are often seen as repetitive activities can enhance vocational learning because repetitive actions are always different and lead to learning (Lee and Roth 2005).
Similarly, for the person with MS, we can deduce the initial walking task has increased novelty but a low level of complexity (no object to manipulate) leading to a high novelty and low complexity task level.
It can be used to automate high-volume, low-complexity, and routine tasks.
We also point out that an ideal design of fuzzy rule-based models for microarray gene expression data analysis includes two important tasks: designing low-complexity fuzzy models, and finding trade-off points between classification accuracy and model interpretability.
In this paper, we develop new receivers for orthogonal frequency-division multiplexing (OFDM) systems and single-carrier (SC) systems in doubly selective channels by embedding the channel estimation task within low-complexity block turbo equalizers.
Independent encoding of information sources enables low-complexity encoding architectures since the removal of inter-source redundancy is no longer an encoder task.
Alternatively, a low-complexity algorithm (for example, the proposed greedy algorithm) could be used to reduce the computational complexity of the pair selection task.
The paper by K. Fang et al. develops low-complexity receivers for orthogonal frequency-division multiplexing (OFDM) systems and single-carrier systems in doubly selective channels by embedding the channel estimation task within block turbo equalizers.
BLAST searches were performed using the low-complexity filter with the low-complexity sequences masked.
