The phrase "additional features for the" is correct and usable in written English.
It can be used when discussing enhancements or extra functionalities related to a specific subject, such as a product or service.
Example: "The software update includes additional features for the user interface that improve navigation and accessibility."
Alternatives: "extra functionalities for the" or "supplementary options for the".
The applicability of existing proven dismantling technologies has been identified together with some additional features for the dismantling.
The fewer people who share data, the less the company has about you, and the less likely they are able to use the data to their benefit – such as targeted marketing techniques, or using the data to develop additional features for the individual user.
The company also has its own companion app, which offers some additional features for the ZenWatch, including customizable watchfaces.
With the funds from its seed round, Cove.Tool plans further enhance its sales effort while continuing to develop additional features for the platform.
Founder and CEO Yo Koga confirms the company is focused on building out additional features for the app through its new partnership with Panasonic, but that it also has other ambitions in the works.
The next feature consisted of smRNA counts and resulted in five additional features for the SVM.
This probability is used as an additional feature for the classification by logistic regression, the discriminative step of the approach.
Such objects can be designed by a high level language DOME-L, offering the additional features for defining the automation objects.
It was published as a W3C recommendation in 2001 [23] to replace Document Type Definition (DTD) and provide additional features for defining the constraints and validating the contents of XML document.
Nevertheless, the encapsulation strategy provides additional features, for example, the porous silica shell can protect HRP against proteolysis while allowing transport of small molecules of reactants and products [26, 27].
To train the second-stage model, we create a dataset that incorporates non-local features by training 10 different first-stage models in a cross-validation setup, using each to predict the additional features for 10% of the data.
