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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Snippet Generation Using Local Alignment for Information Retrieval (LAIR),rities between gene sequences, for information retrieval in snippet generation. This adaptation draws parallels between detecting similarity in DNA and gene sequences and the query search process. Documents are likened to target gene sequences, and queries to gene query sequences. Once the similarit

thrombosis

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The Relevance of Artificial Intelligence in Project Management,e in the transformation of organizational practices, thus also becoming indispensable components in projects and project-oriented organizations by enabling automation of repetitive tasks, accelerating productivity and ensuring strategic direction in achievement of project goals and enhancing overall

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Weakly Supervised Relation Extraction,e several different approaches for relation extraction, most use a supervised learning approach, which requires a large training dataset. These extensive datasets must be hand-labeled by experts, which makes the annotation process time-consuming and expensive. Another approach utilized in this study

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Analysis of Cervical Neoplasia with Artificial Intelligence,that can be prevented by early diagnosis with screening tests. Most cervical cancers 99.7% are related to the Human Papilloma Virus (HPV), and today, it is known that HPV must definitely exist for the development of cervical cancer. Actually, HPV-16 and HPV-18 have been found positive in 70% of the

Panacea

Estimation of Meteorological Parameters Using Data Driven Methods,ong Short Term Memory Network, a specialized deep neural network model used for algorithm and time series analysis, from the average precipitation data collected for 4 different provinces in the Eastern Anatolia Region of Turkey was used. Although the data used for the study differ for each province

Serenity

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