The phrase "ability to reliably predict" is correct and usable in written English.
You can use it when discussing the capacity or skill to make accurate forecasts or estimations based on data or experience.
Example: "The scientist's ability to reliably predict weather patterns has made her a valuable asset to the meteorology team."
Alternatives: "capacity for accurate prediction" or "skill in making reliable forecasts."
The ability to reliably predict the operating behaviors of SOFC stacks is crucial for the technology advancement.
One of the key problems in coping with deliberate or accidental atmospheric releases, which in many cases are short or/and result in high concentrations, is the ability to reliably predict the individual exposure during the event.
The results indicate that the developed RNN model has the ability to reliably predict the load–settlement response of axially loaded steel driven piles, and thus, can be used by geotechnical engineers for routine design practice.
The redox chemistry of the actinide elements plays a central role in many aspects of nuclear fission technology including the reprocessing of spent fuel, safe disposal strategies and in the ability to reliably predict the mobility of actinides in natural and engineered environmental conditions.
Atomisation of liquids is frequently encountered in the liquid-gas flows used in many practical chemical and process engineering applications, and an ability to reliably predict such flows is of benefit to the optimisation and performance improvement of existing equipment and processes, as well as the evaluation of retrofit options and the design of new equipment, systems and plant.
45 The ability to reliably predict an individual's risk of HCC, such that surveillance strategies could be appropriately personalized, would represent a substantial advance in surveillance programs.
The sensitivity of JAFFA comes from its ability to reliably call fusions with very low coverage.
As the number of indel technical errors increase, the ability to reliably call mutations diminishes.
Before use of a prediction model can be recommended in practice, external validation is mandatory to determine the ability of a model to reliably predict the outcome in other populations and settings [ 7].
The poor ability of the k ε model to reliably predict boundary layer separation is problematic in a WHRS application; separation results in significant energy dissipation which in turn has a major effect on fan power required to overcome the losses in the system.
The present paper deals with the investigation of the ability of Artificial Neural Networks (ANN) to reliably predict the r/c buildings' seismic damage state.
