Titlebook: Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023); Volume 1 Katerina Kabassi,Phivos Mylonas,

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harpsichord

Automated Coral Lifeform Classification Using YOLOv5: A Deep Learning Approach,ep learning framework. The model was trained on a dataset of coral images, including seven different coral lifeforms, namely Branching, Encrusting, Foliose, Massive, Mushroom, Submassive, and Tabulate. The evaluation of the model‘s performance involved the use of several metrics, including recall, p

faultfinder

A Deep Learning Model to Recognise Facial Emotion Expressions,uated. This paper contributes to the field of emotion recognition and deep learning by providing a comprehensive analysis of the effectiveness of CNNs for facial emotion recognition and proposing an efficient and accurate model, as well as identifying areas for further improvement in this research f

sperse

Artificial Intelligence-Based Adaptive E-learning Environments,test adaptive e-learning systems and to highlight the role and importance of artificial intelligence in promoting the adaptation of this system while pointing out some future ideas and recommendations whose implications will be of benefit to both students and researchers.

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CoMoPAR: A Comprehensive Conceptual Model for Designing Personalized Augmented Reality Systems in Eucational environments, that hold the potential to revolutionize the field of education while offering students a more engaging and efficient learning environment. Teachers, programmers, and researchers interested in creating customized augmented reality learning environments may utilize this concep

scrape

A Web Tool for K-means Clustering,lustering tasks and retrieve the results programmatically. The usability of Web-K-Means was evaluated by the System Usability Scale (SUS) and experiments were conducted for the CPU times evaluation. The results indicate that Web-K-Means is a simple, efficient and user friendly tool for cluster analy

Foregery

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