Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai Conference proceedings 2023 The Editor(s) (if applicable) and The Aut

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A Self-learning Musical Tool to Support the Educational Activity,cts. However, few of these projects take into account the didactic aspect by paying the right attention to students with Specific Learning Disorders (such as dyslexic students). Several previous works have proposed methods for harmonizing a melody, that is, for creating a succession of chords as an

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,A Dynamic Emotion Recognition System Based on Convolutional Feature Extraction and Recurrent Neuraland the development of improved machine learning, resulting in the creation of recognition systems with high accuracy. While research has commonly focused on single images, recent research has also made use of dynamic video data. This paper presents CNN-RNN (Convolutional Neural Network - Recurrent

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Survey on the Convergence of Machine Learning and Blockchain, data still accompany the development of ML. For instance, training of traditional ML models is limited to the access of data sets, which are generally proprietary; published ML models may soon be out of date without an update of new data and continuous training; malicious data contributors may uplo

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Behavioral Model for a Computer Vision System, in intelligent business intelligence systems and allows implementing the identification of the dynamic characteristics of the observed objects. The proposed model makes it possible to implement the detection of behavioral patterns by the movement of an object in a controlled space. The initial data

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Understanding Recommendation Intention and Continuance Intention of Smart Attendance Management Appntage of using a SAMA is that attendance check time is reduced and attendance status can be easily managed. This study aims to identify the key factors affecting recommendation intention and continuance intention of SAMA users. The research model enlists information system success factors and techno