The phrase "attributes which may" is correct and usable in written English.
It can be used when discussing characteristics or qualities that have the potential to exist or occur under certain conditions.
Example: "The study focuses on attributes which may influence consumer behavior in the market."
Alternatives: "characteristics that might" or "qualities that could".
To deal with this issue, feature selection are needed to remove redundant attributes which may influence the performance of GP.
Accounting for multiple site conditions requires a relatively large number of choice attributes, which may impose too high cognitive burden on respondents.
Batteries employing lithium chemistry have been intensively investigated because of their high energy attributes which may be deployed for vehicle electrification and large-scale energy storage applications.
However, this becomes impossible in a customer-oriented production, where the generic product is defined through a set of attributes, which may have alternative values.
But within this latter category one may formulate questions about properties, or attributes, which may belong to them; wonder whether they exist, and if so, in what way; ask whether they move or not; and so on.
In the situation of incomplete information, treating the attributes, which may be relevant to some rules and not to others, as "missing" ones is found to cause reasoning problems.
These data indicate that the osteogenic potential of bone marrow cells is retained by low-magnitude vibrations during disuse, an attribute which may have contributed to an enhanced recovery of bone morphology during reambulation.
The sensitivity and accuracy of the Onco type DX Colon Cancer Assay ensures robust reporting irrespective of the level of RNA expression, an attribute which may not be achieved with DNA microarrays given the lesser dynamic range of this platform [ 14, 15].
Real world objects 'G' can be associated with different attributes 'M' which may have many values 'V'.
In reality, a functional community in a network is usually based on some common affiliation, attribute, etc., which may not be directly related to linkage information.
Although the observer was blinded to the hypothesis, she was not blinded to the attributed code which may have resulted in bias to confirm a diagnosis of AKI.
