Artificial Intelligence in Science Learning within the Framework of Situated Learning Theory: A Qualitative Investigation of Teachers’ Perspectives This study explores how artificial intelligence (AI) ...
Envariax represents the next generation of algorithmic trading innovation — a technology-driven model built to analyze vast ...
An emerging approach in AI innovation is hybrid AI, which combines the scalability of machine learning (ML) with the ...
Abstract: Database modeling defines the logical design, structure, and specifications for data storage and access within a DataBase Management System (DBMS), a core component of any Information System ...
Data are a crucial asset for organizations, making it essential for database designers to effectively organize and manage data using DataBase Management Systems (DBMS). DataBase design Concepts (DBCs) ...
Streamflow is an integral part of the hydrological cycle that is used for water resource planning and flood or drought forecasting, flood damage, and water-related risks evaluation. These aspects ...
My name is Bill Burkett, and I am a data modeler. I don’t call myself that often and sometimes have misgivings about doing so. I often get the feeling that being a “data modeler,” when considered in ...
Abstract: In this paper, we propose a conceptual model for claim validation based on signed data while clarifying the gap between validation and verification. As various activities are conducted via ...
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