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  1. A Clustering Approach for the -Diversity Model in Privacy Preserving Data Mining Using Fractional Calculus-Bacterial Foraging Optimization Algorithm

    Published in Advances in Computer Engineering (2014)
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  2. A Water Flow-Like Algorithm for the Travelling Salesman Problem

    Published in Advances in Computer Engineering (2014)
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  3. Real-Time Linux Analysis Using Low-Impact Tracer

    Published in Advances in Computer Engineering (2014)
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  4. The Effects of Visual Properties of Application Icons During Different Phases of the Customer Journey: A Survey Study With Designers

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  5. Continual Learning for Enhancing Personal Assistants Using Machine Learning

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  6. Stylus Use in E-Assessment: A Longitudinal Study of Usability and Cognitive Load

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  7. Adjusting B-Tree for Better Usability: Nodes as Files Instead of Disk Blocks

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  8. Exploring Emotional and Content Influences on ChatGPT’s Educational Usability Within the Field of Human–Computer Interaction

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  9. Decoding Emotions From Brainwaves: The Impact of Wavelets and Overlap on EEG-Based Emotion Classification

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  10. Bibliometric Analysis of Functional Electrical Stimulation (FES) as a Neurofeedback Tool in Brain–Computer Interface (BCI) Systems

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  11. Correction to “AI Competency and Perception of XAI Importance Versus Attitude Toward AI: Mediating Effects of Belief in XAI Availability”

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  12. Early Autism Spectrum Disorder Detection Using SMOTE-Enhanced 1D-CNN and Behavioral Screening Data

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  13. A Survey of User Experiences in Augmented Reality-Aided Energy Trading Platforms for Electromobility Charging Networks

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  14. AI Competency and Perception of XAI Importance Versus Attitude Toward AI: Mediating Effects of Belief in XAI Availability

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  15. Trust in AI Doctors: How Credibility and Message Richness in AI-Based Providers Influence Patient Adherence

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  16. Comparative Analysis of Four Usability Assessment Techniques for Electronic Record Management Systems

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  17. AI in Automated and Remote UX Evaluation: A Systematic Review (2014–2024)

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  18. Continuous Learning for Automated Early-Stage Alzheimer’s Detection Using MRI and Spike Neural Signals

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