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  1. 681

    Automated Seizure Detection through EEG Analysis and Deep Learning Technique by Srinivas Nowduri, M. Madhusudhana Subramanyam

    Published 2024-06-01
    “…However, one of the challenges of automatic seizure detection using EEG analysis is extracting optimal features that can distinguish between different states of epilepsy. To address this issue, this research proposes a new approach for automatically identifying epileptic seizures using a deep convolutional network. …”
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  2. 682

    Clustering Tingkat Risiko Klasifikasi Lapangan Usaha (KLU) Menggunakan Metode K-Means by Jessica Rahmawati Nugroho, Yoyon K Suprapto, Eko Setijadi

    Published 2022-06-01
    “…Corporate taxpayers as one of the largest source of revenue, based on their business sector have a dominant contribution to state revenues. Thus, in this study, the researcher tries to implement the clustering method with the K-Means algorithm to grouping the business classifications (Klasifikasi Lapangan Usaha/KLU) according to the risk of non-compliance level and the fiscal impact on revenue which is divided into high, medium, and low. …”
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    Analysis of asymmetry factors in the development of the EU tourism industry by Maxim Polyakov, Vladimir Bilozubenko, Natalia Nebaba, Maxim Korneyev, Yelyzaveta Saihak

    Published 2020-12-01
    “…To pursue a supranational tourism policy and create a favorable marketing environment at the national level, it is necessary to consider the objective differences between member states and their characteristics in the field of tourism. …”
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    POLICY FOR THE ASSESSMENT AND COMPENSATION OF DAMAGES FROM THE RUSSIAN FEDERATION’S AGGRESSION AGAINST UKRAINE by Valerii Zhuk, Yuliia Bezdushna, Nataliia Zhuk, Olena Hryschenko

    Published 2025-07-01
    “…The article analyzes the main initiatives of the international community and Ukraine regarding the system for recording, assessing, and indemnifying damages. …”
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    Performance of Various Artificial Intelligence Models for Predicting Temperature in an Industrial Building—A Case Study by Johan Roussel, Zoubeir Lafhaj, Pascal Yim, Thomas Danel, Laure Ducoulombier

    Published 2025-07-01
    “…By integrating high-performing predictive models into equipment control systems, it is possible to reduce energy costs, improve thermal comfort, and ensure efficient process stability. This research underscores the importance of an algorithmic approach tailored to both the thermal characteristics of the building and the computational capabilities of industrial infrastructure, with feature importance analysis confirming that external temperature and heating system states are the primary predictive factors, thereby helping to optimize industrial operations.…”
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    Adaptive average arterial pressure control by multi-agent on-policy reinforcement learning by Xiaofeng Hong, Walid Ayadi, Khalid A. Alattas, Ardashir Mohammadzadeh, Mohamad Salimi, Chunwei Zhang

    Published 2025-01-01
    “…Following this, an observer is incorporated into the main controller to improve performance and stability by estimating states and disturbances. …”
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