The phrase "algorithmic support" is correct and usable in written English.
It can be used when referring to assistance or resources provided by algorithms in various contexts, such as technology, data analysis, or decision-making processes.
Example: "The new software offers algorithmic support to help users make more informed decisions based on data trends."
Alternatives: "algorithmic assistance" or "algorithmic aid".
This special issue, aiming at enhancing the next generation of computational technologies, is introduced to provide both theoretical and algorithmic support across cyber-physical-social systems with cyber-enabled applications.
In an effort to bring the speculation – Harper Lee's sister Alice once called it "the greatest lie ever told" – into the digital age, the Wall Street Journal asked two Polish literary scholars to use a computerised text-analysis tool to compare Go Set a Watchmen with To Kill a Mockingbird and In Cold Blood to see if there was any algorithmic support for these rumours.
Concretely, interconnected Cybermatics refers to the variants of Internet of anything, such as physical objects, cyber services, social people, and human thinking; intelligent Cybermatics considers the cyber physical social thinking computing to provide algorithmic support for system infrastructures; green Cybermatics addresses energy issues to ensure efficient communications and networking.
The need for improved algorithmic support for variant prioritization and disease-gene identification in personal genomes data is widely acknowledged.
In our study, we use only the existing algorithm supported in the literature to simulate a more real-world environment where the particular task information, and how to enhance this information further, is unknown before displaying the composite algorithmic image.
We introduce a comprehensive algorithmic framework supported by various techniques of information retrieval.
In this study, we discuss the role of fuzzy sets regarded as a comprehensive algorithmic vehicle supporting the design of decision trees.
In conjunction with the underlying idea, developed is an algorithmic framework supporting an optimization of the specificity of the model exposed to granular inputs (data).
As reports are already emerging of complex algorithmic systems supporting more and more aspects of war-fighting across CGS, the truth is that the commoditization of AI is a reality now.
While being naturally well suited for modeling symmetries, various polytopes or visualizing molecular structures, the inherent discreteness of the system poses difficult constraints on any algorithmic approach to support the modeling of freeform shapes.
In order to emphasize the use of a formal language in domain representations, we here subscribe to the concept of formal ontologies (Guarino, 1998) as theories that attempt to give precise representations of the types of entities in reality, of their properties and of the relations among them, using axioms and definitions that support algorithmic reasoning.
