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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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2367-3370 provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence..978-3-031-47723-2978-3-031-47724-9Series ISSN 2367-3370 Series E-ISSN 2367-3389
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Wind Turbine Data-Driven Intelligent Fault Detection, the suggested approach makes use of the complex properties included within previously collected data on wind turbines that are analogous to those presented, hence lowering the likelihood of the model being overfit. After the models have been pre-trained, they are then used to infer the behaviour of
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Enhancing Decision Support Systems for the Energy Sector with Sustainable Artificial Intelligence Sate-of-the-art AI and data analytic services for the decision makers of the energy sector. The framework will be seamlessly integrated with the AI-on-Demand platform, i.e. Europe’s one-stop-shop for AI assets. The paper introduces the I-NERGY framework and describes its bidirectional relation to the
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Gesture Recognition of Filipino Sign Language Using Convolutional and Long-Short Term Memory Neuralhe deep learning algorithm Convolutional and Long Short-Term Memory Neural Networks in system capturing of real-time signs from a signer. The proponents considered 15 signs related to common greetings and business transactions. A total of 450 video recordings were collected for the signs with each h
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,Identification of Potato Virus Y in Potato Plants Using Deep Learning and GradCAM Verification,ssifiers with brightness augmentations outperformed other setups. Examining the class activation mappings of shallow layers revealed a focus on either the margins and midrib or the overall texture of the leaf. This corresponds to the characteristics used by domain experts who concentrate on colour a
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