Querying relational databases using human language is a complex process that must take into consideration the lack of knowledge of SQL by the end users who use the content of these systems. Many studies published in t...
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Graph-based semi-supervised node classification has become a vital area in pattern recognition, with numerous applications of substantial research importance. However, existing approaches typically rely solely on eith...
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This article describes BOOM, an object-oriented fourth-generation system. BOOM supports the powerful and elegant development of informationsystems in an object-oriented manner. By using object-oriented techniques, th...
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This article describes BOOM, an object-oriented fourth-generation system. BOOM supports the powerful and elegant development of informationsystems in an object-oriented manner. By using object-oriented techniques, the complexities in building informationsystems can be handled more easily, and the development process in general can be improved and revived. BOOM decouples development from the physical environment. BOOM developers build a logical object-oriented data model that, after development, is automatically transferred into a relational database system. The toolset supplied for the construction of informationsystems includes components for the definition of structural object-oriented data models,for the generation of user interfaces, and the arrangement of application logic. Generic operations for manipulating user-defined objects are provided for every BOOM application. BOOM objects are stored in a relational database and are dynamically loaded on demand. Further, how the object model is transformed to relational tables is illustrated.
Conversational agents (CA) are software programs that can converse with users using natural language. They are now widely used in various domains, such as tourism, healthcare, and others, to perform tasks and provide ...
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Today, the tourism industry is significantly impacted by mobile applications leveraging Artificial Intelligence (AI) and Natural Language Processing (NLP) to enhance tourists' experiences before, during, and after...
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The development of chatbots utilizing artificial intelligence (AI) techniques represents a significant advancement in Natural Language Processing (NLP). Numerous studies employ deep learning and NLP methodologies to c...
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Unified Modeling Language (UML) is a versatile tool for specifying, visualizing, and documenting softwaresystems through diagrams. In the early stages of development, addressing design issues is critical to improving...
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The rapid advancement of Artificial Intelligence (AI) and Natural Language Processing (NLP) has positioned chatbots as essential tools across various industries, particularly in the tourism sector. These agents are co...
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Outlier detection refers to the identification of anomalous samples that deviate significantly from the distribution of normal data and has been extensively studied and used in a variety of practical tasks. However, m...
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Recent advances in Deep Learning (DL) have enhanced Aging-Related Bug (ARB) prediction for mitigating software aging. However, DL-based ARB prediction models face a dual challenge: overcoming overfitting to enhance ge...
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