"propose a fine" is a grammatically correct and commonly used phrase in written English.
It is typically used when one person or entity suggests or recommends a monetary penalty for someone who has committed a violation or offense. Example: The city council proposed a fine of $100 for littering in the park. In this example, the city council is suggesting that individuals who litter in the park should be charged a fine of $100.
Bochy said he would propose a fine and suspension — and an automatic out — for a runner who has a path to the plate but chooses to bowl over the catcher.
On Wednesday, the competition commissioner, Mario Monti, will propose a fine of 40 million euros to 90 million euros (about $36.8 million to $82.8 million) to his 19 fellow commissioners at their weekly meeting, according to people close to the commission.
"We'll move on now but it doesn't mean you don't pay the price and I will propose a fine.
In this paper, we propose a fine-grained implementation for NEDI using GPU.
We propose a fine-grained topic discovery approach using sentence-level pattern mining to discover meaningful topics.
We propose a fine-grained forward body biasing (FBB) scheme for active mode leakage power reduction in gate level circuits without any delay penalty.
In this paper, we propose a fine-to-coarse parallelization strategy in order to exploit, in a case study, a parallel hybrid architecture.
Our research brings several noticeable contributions and major findings to the areas: We propose a fine-grained topic discovery approach using sentence-level pattern mining to discover meaningful topics.
To recover these losses, we propose a fine-granularity loading scheme using joint optimization of adaptive modulation and flexible coding parameters based on programmable Reed-Solomon (RS) codes and bit-error probability criterion.
In this paper, by contrast, we propose a fine-grained intra-frame prediction approach based on parallel partition (FIPIP) and implement it on Graphics Processing Unit (GPU) based heterogeneous many-core systems.
We propose a fine-grained image recognition framework by exploiting CNN as the raw feature extractor along with several effective methods including a feature encoding method, a feature weighting method, and a strategy to better incorporate information from multi-scale images to further improve recognition ability.
