The phrase "adapting the input" is correct and usable in written English.
You can use it when discussing the modification or adjustment of data or information to fit a specific context or requirement.
Example: "In order to improve the model's performance, we need to focus on adapting the input to better align with the expected outcomes."
Alternatives: "modifying the input" or "adjusting the input".
RUSLE has been modified from the Universal Soil Loss Equation (USLE) by adapting the input factors to the local conditions (McCool et al. 1995; Renard et al. 1996).
For this reason, it can also be argued that adapting the input parameters is a step in reducing the levels of noise for each participant's results.
We believe that adapting the input parameters on a participant basis can avoid the detection of artifactual fixations and will lead to more accurate and reliable experimental results.
We believe that this is not only because of the particularities of our algorithms, but also because we are adapting the input parameters to different levels of noise.
Nonetheless, the algorithms alone, even after adapting the input parameters on a participant basis, are always subject to errors, particularly when processing low-quality data.
The ultimate aim of adapting the input parameters and applying certain post hoc validation criteria is to obtain the most accurate outcome by the algorithms alone and, thus, reduce the hand-coding time during the subsequent step.
The approach relies on the principle of iteration, and recommends revising the storylines after simulation, adapting the input-data sets to the refined storylines and repeating the simulation.
An extension to PESQ was developed that adapted the input filters and MOS mapping to allow wideband signal quality prediction [3].
In [9], a generic wireless multiuser video streaming system uses SVC coding in order to adapt the input stream at the radio link layer as a function of the available bandwidth.
On the other hand, it is possible to adapt the input parameters according to the level of noise on a participant-by-participant basis (e.g., Nyström & Holmqvist, 2010).
The adaptive fuzzy PD controller adapts the inputs and outputs scaling factors and is based on a second order reference model.
