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Titlebook: Intelligent Computing; Proceedings of the 2 Kohei Arai Conference proceedings 2024 The Editor(s) (if applicable) and The Author(s), under e

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發(fā)表于 2025-3-30 09:04:57 | 只看該作者
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發(fā)表于 2025-3-30 23:06:16 | 只看該作者
Applying Formal Methods to Elicit Specifications for Grid Data Analysis Applications Using Machine id data analysis. The incorporation of machine learning into grid data applications holds significant importance for enhancing decision-making processes. However, the absence of precise specifications often poses challenges in the development and validation of these algorithms. This study focuses on
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發(fā)表于 2025-3-31 01:08:15 | 只看該作者
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發(fā)表于 2025-3-31 08:48:35 | 只看該作者
,Weak Relation Enforcement for?Kinematic-Informed Long-Term Stock Prediction with?Artificial Neural INN) for long-term stock prediction. Problems of the series volatility, Out-of-Distribution (OOD) test data, and outliers in training data are addressed by (Artificial Neural Networks) ANN’s learning not only future points prediction but also by learning velocity relations between the points, such a
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Conference proceedings 2024submissions, this collection encapsulates the cutting-edge research and innovation presented during the conference. Delve into a diverse range of topics, insights, and methodologies that shape the future of computing. Whether you‘re an academic, researcher, or enthusiast, this concise volume offers
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發(fā)表于 2025-3-31 22:23:08 | 只看該作者
2367-3370 nd methodologies.Proceedings of the Computing Conference 202.Explore the forefront of computing with the proceedings of the Computing Conference 2024. Featuring 165 carefully selected papers from a pool of 457 submissions, this collection encapsulates the cutting-edge research and innovation present
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