Titlebook: Distributed Computing and Artificial Intelligence, Volume 1: 18th International Conference; Kenji Matsui,Sigeru Omatu,Sara Rodríguez Gonzá

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恸哭

Working-Memory

Katie Verlin Laatikainen,Karen E. SmithGPUs, making these models impractical for use in the field. We investigate the use of model quantization and GPU-acceleration for chest X-ray classification on edge devices. We employ 3 types of quantization (dynamic range, float-16, and full int8) which we tested on models trained on the Chest-XRay

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https://doi.org/10.1057/9780230503731systems to improve their performance. Some recommendation methods dealing with different music features have been proposed during the last years, but most of them do not consider emotional aspects. The recommender system presented in this work, allows the classification of the music into emotions fr

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Pulmonary-Veins

The European Union at the United Nationsternet by means of technology devices and networks connected to it. The field is broad and has a lot of unexplored ground under numerous disciplines such as management, psychology, and data science. Its large disciplinary spectrum and many significant research topics generate a considerable amount o

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Legitimacy and EU Foreign Policylogies in order to assist healthcare professionals in the decision-making process. One of the most important field in healthcare diagnoses is the identification of Coronary Heart Disease since it has a high mortality rate worldwide. This disease occurs when the heart’s arteries are incapable of prov

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European Union in the Globalised Worldf the bioprocess. On-line estimation could be a challenging task when an accurate process model is not available. Support Vector Machine (SVM) is an attractive and relatively simple method that can be used as an alternative to predict key variables by using several physical parameters measured onlin