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Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai Conference proceedings 2024 The Editor(s) (if applicable) and The Aut

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Maria Potanin,Maike Holtkemper,Christian Beecksange research, conservation, and sustainable development. It has by now widely been recognized that “traditional” knowledge is always in flux and adapting to a quickly changing environment. Trends of globalization, especially the globalization of plant markets, have greatly influenced how plant reso
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Adriana Jimenez-Torres,Henry N. Roafrica’s mountain regions.Features hundreds of color photograResearch in recent years has increasingly shifted away from purely academic research, and into applied aspects of the discipline, including climate change research, conservation, and sustainable development. It has by now widely been recogn
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Towards Enhanced Virtual Chronic Care: Artificial Intelligence-Human Computer Interaction Integrati with novel means. These are being undertaken in this on-going interdisciplinary PhD which combines human computer interaction (HCI), artificial intelligence (AI) development and innovation with a participatory approach. This study adopts a multi-stage design inferred by the Integrate Design Assess
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Image Classification Method Considering Overlapping and Correlation Between Probability Density Funcern is proposed. As an example of the proposed method, sea ice type classification is demonstrated. A sea ice classification method based on eigen value decomposition with polarimetric SAR image data is proposed. Polarimetric SAR allows using surface and volume scattering characteristics of the tar
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3D Reconstruction in Crime Scenes Investigation: Impacts, Benefits, and Limitations,hnology is 3D reconstruction technology, which captures the physical attributes of real-world crime scenes and digitizes them into comprehensive three-dimensional models. This provides a more detailed, accurate, and interactive representation of crime scenes than traditional documentation techniques
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A Hybrid Technique for English to Urdu Machine Translation Using Transfer Learning,ng employed for automatic machine translation. Encoder-decoder models are frequently being implemented to improve the performance of automatic translation systems. Convolutional Neural Network (CNN) is a novel approach used for extracting textual features from the dataset. Merging recurrent neural n
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