Abstract
Utility Management in a library is the programmatic tool with the synthetic mental program ability, along with Artificial Intelligence capacities, headed to manage a high volume of books, articles, and assignments, which help to ease the manual significance of librarians. This computerized machine code helps librarians to deal with various databases of the library management system. This framework keeps the records of all the resource details in an optimized manner. It uses a utility management software code with an optimized search classifier that helps to deal with the resource of the library. In this work, the Heuristic Utility Management Algorithm (HUMA) has been used to keep track of resources in the library using mathematical modeling and standardized programmatic computation on tags, which relates the decode scanner to parse the input information. HUMA helps to reduce the manual routine work done by the librarians, and it has been analyzed in this research with prominent survey outcomes based on experimental validation.
Published Version
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