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Titlebook: Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0; Proceedings of the 5 D. Jude Hemanth,Utku

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Performance Analysis of Machine Learning Algorithms for Intrusion Detection in Wireless Sensor Netwampling methods. The comparative assessment of model performances was conducted using metrics such as Accuracy, Precision, Recall, and F1-Score. Furthermore, the study examined the confusion matrix and ROC curve. Results indicated that data balancing methods decreased accuracy rates but effectively
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Predicting, Profiling and Analysing Burnout of Nursery Staff,ent) contributing to burnout. Nursery teacher burnout is a very complex issue; however, the insights derived from this study provide a framework for interventions specific to nursery teachers to understand, address and support them in their profession, in the hopes of enabling supportive kindergarte
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Reasoning on Relational Database and Its Respective Knowledge Graph: A Comparison of the Results, was our main goal. Our research contributes valuable insights to the comparative analysis of reasoning algorithms between relational databases and knowledge graphs. By shedding light on the strengths and weaknesses of different approaches, this study serves as a foundation for further advancements
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Snippet Generation Using Local Alignment for Information Retrieval (LAIR),umber of fragments in the snippet, number of query terms in the snippet, ratio of missed web pages. In addition, the benefits of the local sequence alignment method are emphasized by adapting this method to query searches in YouTube videos as well. This improvement enables user to obtain the relevan
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The Impact of Emotional Intelligence on Students with Extracurricular Activities and Regular Studenemotional intelligence. Analyzing the responses collected from 84 students in the statistical program JASP, it was observed that these competencies are more pronounced and prevalent in the first group of students engaged in extracurricular activities, compared to regular students. The expected contr
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The Relevance of Artificial Intelligence in Project Management,s in the field, which include project management and technologies within AI, optimization of project performance, application of neural networks, and forecasting project success with the help of AI. Additionally, the results point to new directions and highlight that project managers should focus on
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