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Analysis of Marketing Campaigns Results Through Unsupervised Learning with Apriori Association Modeling
One of the most popular data mining methods for extracting association rules from huge data sets is the apriori algorithm, which can be databases or...
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aWaRe: Aiming for Water and Waste Reduction, Reuse and Recycling
In the context of circular economy, the aWaRe project pretended to develop innovative textile solutions using own recycled fibers that were...
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From Information and Communication Technology to the Smart Tourism Experience: Value Co-creation
Tourism contemplates dynamics that are socially, culturally, and economically relevant and that imply mobility, for personal or professional...
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MangoFruitDDS: A Standard Mango Fruit Diseases Dataset Made in Africa
Mango is a lucrative fruit produced in tropical and sub-tropical areas. It is the third most traded tropical fruit after pineapple and avocado in the...
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STVgoDigital: A Digital Product Passport Solution
The Textile & Clothing sector is a significant global industrial sector with substantial environmental and social impacts, particularly in develo**...
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Automatic EPS Calculation Guided Genetic Algorithm and Incremental PCA Based DBSCAN of Extracted Acoustic Features for Anomalous Sound Detection
This paper focuses on automatic detection of anomalies in audio files. We introduce an automated unsupervised algorithm which integrates AEC-guided...
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Benefits and Challenges of an Internal Corporate Accelerator in a Software Company: An Action-Research Study
To maintain a competitive advantage and adapt to the rapid changes in both the market and technology, organizations need to continuously innovate. As...
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Comparing Machine Learning Algorithms for Medical Time-Series Data
Medical software becomes increasingly advanced and more mission-critical. Machine learning is one of the methods which is used in medical software to...
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CAIS-DMA: A Decision-Making Assistant for Collaborative AI Systems
A Collaborative Artificial Intelligence System (CAIS) is a cyber-physical system that learns actions in collaboration with humans in a shared...
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Using AI-Based Code Completion for Domain-Specific Languages
Code completion is a very important feature of modern integrated development environments. Research has been done for years to improve code...
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Leveraging Historical Data to Support User Story Estimation
Accurate and reliable effort and cost estimation are still challenging for agile teams in the industry. It is argued that leveraging historical data...
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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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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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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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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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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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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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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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Federated Learning for Drowsiness Detection in Connected Vehicles
Ensuring driver readiness poses challenges, yet driver monitoring systems can assist in determining the driver’s state. By observing visual cues,...