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Titlebook: Inventive Systems and Control; Proceedings of ICISC V. Suma,Joy Iong-Zong Chen,Haoxiang Wang Conference proceedings 2021 The Editor(s) (if

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楼主: Madison
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Multi-agent Ludo Game Collaborative Path Planning based on Markov Decision Process,ing algorithm based on Q-learning was proposed, and a set of cooperation proprieties that the agents have to follow in order to reach the goal location. To accomplish that a Lludo game environment modeling is introduced according to the Markov decision process (MDP) principles. The main objective of
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Smart City: Recent Advances and Research Issues,nd technologies like IoT sensors, big data analytics, communication networks, and applications are being used to collect and analyze data to boost various services in smart cities, including public services, transport, and various other utilities. The article intends to discuss the state-of-the-art
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,HOUSEN: Hybrid Over–Undersampling and Ensemble Approach for Imbalance Classification,y class is dominating the minority class. Classification of data becomes tough due to the imbalanced nature of data. Identifying the impact of imbalance techniques for classification techniques, this article presents a model named the HOUSEN model. It uses a novel hybrid class imbalance sampling met
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Applied Classification Algorithms Used in Data Mining During the Vocational Guidance Process in Maccurate. Data mining and machine learning techniques have been used increasingly in different areas, from medical to technological, training, and energy applications to analyze data. Machine learning techniques allow significant additional knowledge to be deducted from data processed by data mining.
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Progression of EEG-BCI Classification Techniques: A Study, of the world with your brain seemed to be possible, and that is what happened, given a few decades. The field of BCI does not simply aim to create a futuristic world, but also help people with neurodegenerative disorders. EEG-based BCIs (EEG-BCI) are the most common of all the BCI out there today.
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