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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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The Influence of Personality Traits and Game Design Elements on Player Enjoyment: An Empirical Study on GWAPs for Linguistics
The present research investigates the effects of Personality Traits (PTs) and Game Design Elements (GDEs) on Player Enjoyment (PE) in the context of...
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Does Players’ Prosocial Behavior in Computer Game Predict Their Well-Being in Real Life?
This study investigates the correlation between players’ prosocial behavior in computer games and their well-being in real life. Participants were...
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An Embodied Conversational Agent to Support Wellbeing After Injury: Insights from a Stakeholder Inclusive Design Approach
Embodied conversational agents (ECAs) are increasingly being included in digital health and wellbeing programs. Whilst initial evaluations of ECAs in...
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DROP DASH: A Persuasive Mobile Game to Promote Healthy Hydration Choices Using Machine Learning
The increasing consumption of unhealthy beverages is a significant public health concern, contributing to a range of health issues. Recognized as...
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Exploring the Influence of Persuasive Strategies on Student Motivation: Self-determination Theory Perspective
The role of persuasive strategies is crucial in designing systems to influence behaviour. Understanding how students are affected by these strategies...
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Experiential Learning or Direct Training: Fostering Ethical Cybersecurity Decision-Making via Serious Games
Achieving secure cybersecurity systems requires a dual focus on technological aspects and human factors, both of which raise questions around ethical...
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The Effect of Dark Patterns and User Knowledge on User Experience and Decision-Making
Dark patterns, aka deceptive designs, have become prevalent in the online environment. In this paper, we examined how dark patterns and knowledge of...
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Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome
Customizing persuasive conversations related to the outcome of interest for specific users achieves better persuasion results. However, existing...
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Exploring Self-competition as a Viable Motivation to Promote Physical Activity
Persuasive systems design encompasses a wide range of concepts that may help users be motivated to achieve the targeted goal or behavior change. This...