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Titlebook: Computational Intelligence in Data Science; 7th IFIP TC 12 Inter Mieczyslaw Lech Owoc,Felix Enigo Varghese Sicily,P Conference proceedings

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樓主: panache
41#
發(fā)表于 2025-3-28 15:52:44 | 只看該作者
Chat Bot in Banking Sector Using Machine Learning and Natural Language Processingy also increased in these modern days. This research paper says about the design, development, various kind of chat bots present in now a days and how these chat bots are implemented and in which way it works according to customer queries. Chatbots are actually created to give accurate answers for b
42#
發(fā)表于 2025-3-28 20:35:57 | 只看該作者
43#
發(fā)表于 2025-3-29 02:21:06 | 只看該作者
Multi-camera Enhanced Real-Time Content-Aware Vehicle Detectionimulation environments. The system transcends traditional vehicle detection, offering a comprehensive framework that includes object classification, precise location, and rotation estimation. Leveraging a multi-camera setup, our approach provides a comprehensive understanding of the surrounding envi
44#
發(fā)表于 2025-3-29 06:24:50 | 只看該作者
45#
發(fā)表于 2025-3-29 10:15:41 | 只看該作者
46#
發(fā)表于 2025-3-29 14:22:39 | 只看該作者
Self-harm Detection from Texts: A Comparative Study Utilizing BERT, Machine Learning, and Deep Learnma, leads to untreated issues, including self-harm and suicide. Social media has become a platform for expressing mental health concerns, and employing suitable algorithms enables automated suicide sentiment detection. This research compares various BERT models to identify an efficient approach for
47#
發(fā)表于 2025-3-29 15:46:13 | 只看該作者
Neuro-Evolution-Based Language Model for?Text Generationte architectures and substantial parameters of contemporary neural networks. This study introduces a groundbreaking method that applies Genetic Algorithms to evolve the architecture of Long Short-Term Memory networks (LSTM), specifically tailored for text generation tasks. Our approach employs a sop
48#
發(fā)表于 2025-3-29 19:57:49 | 只看該作者
49#
發(fā)表于 2025-3-30 03:29:15 | 只看該作者
User Story Based Automated Test Case Generation Using NLPs. The present software development life cycle prioritizes the adjustment to evolving client requirements across the different stages of project development, facilitated by Continuous Integration and Continuous Deployment. The process produces a substantial volume of data that can serve as a valuabl
50#
發(fā)表于 2025-3-30 06:04:46 | 只看該作者
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