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Finding a Second Wind: Speeding Up Graph Traversal Queries in RDBMSs Using Column-Oriented Processing
Recursive queries and recursive derived tables constitute an important part of the SQL standard. Their efficient processing is important for many...
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Investigating the Perceived Usability of Entity-Relationship Quality Frameworks for NoSQL Databases
Quality assessment of data models can be a challenging task due to its subjective nature. For the schemaless, heterogeneous and diverse group of...
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Approach Based on Bayesian Network and Ontology for Identifying Factors Impacting the States of People with Psychological Problems from Data on Social Media
Nowadays, social networks provide relevant information that is used in many contexts for different objectives. However, the major challenges remain...
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Data-Driven and Model-Driven Approaches in Predictive Modelling for Operational Efficiency: Mining Industry Use Case
In this study, we explore the effectiveness of a hybrid modelling approach that seamlessly integrates data-driven techniques, specifically Machine...
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A Comparative Analysis of Time Series Prediction Techniques a Systematic Literature Review (SLR)
This paper highlights the significance of systematic literature reviews and explores the different techniques employed in these reviews, including...
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Deep Learning Based on TensorFlow and Keras for Predictive Monitoring of Business Process Execution Delays
In order to enhance their performance and responsiveness, organizations must identify, manage, and monitor all business processes that involve...
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Cardiovascular Anomaly Detection Using Deep Learning Techniques
Cardiovascular diseases (CVD) refer to a group of health conditions that affect the heart and blood vessels. This can also include arterial damage in...
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AI-LMS: AI-Based Long-Term Monitoring System for Patients in Pandemics: COVID-19 Case Study
In the context of the ongoing COVID-19 pandemic, the need for robust health monitoring systems has become increasingly evident, especially for...
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Towards an Effective Attribute-Based Access Control Model for Neo4j
The graph data model is increasingly used in practice due to its flexibility in modeling complex real-life data. However, some security features...
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OntoFD: A Generic Social Media Fake News Ontology
Fake news has increased dramatically in recent years as a result of social media’s rapid and explosive expansion. To lessen their negative...
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Discovering Relationships Between Heterogeneous Declarative Map**s for RDF Knowledge Graph
Nowadays, Knowledge Graphs (KGs) are extensively used in companies, they are created using different techniques, map** languages among them, and...
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Execution Planning for Aggregated Search in the Web of Data: A Free-Metadata Approach
An aggregate search system in the web of data makes it possible to search for pieces of information that may not exist entirely in a single source....
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A Floating-Point Numbers Theory for Event-B
Static type checking helps catch errors in manipulating variables values early on, and most specification languages, like Event-B, are strongly...
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Localizing Non-functional Code Bugs in User Interfaces Using Deep Learning Techniques
In the context of modern business digitization, non-functional code issues in User Interface (UI) exert a substantial impact on User Experience(UX)....
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Executive Summary
Recent advancements in machine learning, particularly in natural language processing, have been marked by the emergence of large models pretrained on...
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PDTW150K: A Dataset for Patent Drawing Retrieval
We introduce a new large-scale patent dataset termed PDTW150K for patent drawing retrieval. The dataset contains more than 150,000 patents associated...
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Event Recognition in Laparoscopic Gynecology Videos with Hybrid Transformers
Analyzing laparoscopic surgery videos presents a complex and multifaceted challenge, with applications including surgical training, intra-operative...
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GreenScreen: A Multimodal Dataset for Detecting Corporate Greenwashing in the Wild
Greenwashing, a form of deceptive marketing where organizations attempt to convince consumers that their offerings and operations are environmentally...
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RESET: Relational Similarity Extension for V3C1 Video Dataset
Effective content-based information retrieval (IR) is crucial across multimedia platforms, especially in the realm of videos. Whether navigating a...
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WikiMuTe: A Web-Sourced Dataset of Semantic Descriptions for Music Audio
Multi-modal deep learning techniques for matching free-form text with music have shown promising results in the field of Music Information Retrieval...