"frequent feature of" is a correct and usable phrase in written English.
You can use it when you want to describe something that appears often or is present in multiple examples of something. For example, "High levels of caring and kindness are a frequent feature of the students at this school."
Forty years ago, shamanistic ceremonies were still a frequent feature of village temples, with jitong playing an important public role.
The mouse in the cartoon above, holding a stop watch, was a frequent feature of Papas' later Guardian cartoons.
Condescension by well-intentioned if misguided celebrities towards Africa is an all too frequent feature of popular culture.
And he tends to reply to long e-mail messages from his employees with one-word responses like "Awesome!" -- not a frequent feature of Mr. Pittman's vocabulary.
An escalating series of "levels", a concept invented to measure a character's power in role-playing games, is a frequent feature of gamification schemes.Does gamification merit the hype that has quickly surrounded it?
His staff complained that they should have been briefed as the deal was being negotiated, which might then have allowed Mr Sarkozy to bask in the glory during his recent visit to Brazil.Phone calls from the Elysée are becoming a frequent feature of French business.
Hunger strikes – which invoke the memory of those undertaken by Mahatma Gandhi – are popular political tactics in India and are frequent features of public life.
No-shows and last-minute helicopter rides were frequent features of life in and around the band that had done so much to bridge the worlds of black soul and white freakdom.
Pageants and parades Celebrations are frequent features of Piedmont's cultural calendar, covering anything from food to medieval pageants and mass orange fights; the curtain goes up on the Turin Film Festival (torinofilmfest.org) on 22 November.
They were more pronounced during weaning failure in our series and have been reported as frequent features of weaning-induced cardiac dysfunction [27].
These approaches usually use frequent features of speech signal such as MFCC [9], LPC [14] or raw speech signal using a convolution neural network to learn features [16, 17, 18] as input features.
