Subject Conditioning for Motor Imagery Using Attention Mechanism by Adam Gyula Nemes, Gyorgy Eigner

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Application of Deep Learning to Enhance Finger Movement Classification Accuracy From UHD-EEG Signals by Gyorgy Gyula Nemes, Gyorgy Eigner, Peng Shi

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Parametric Activation Functions for Neural Networks: A Tutorial Survey by Luca Sara Pusztahazi, Gyorgy Eigner, Orsolya Csiszar

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Control of Diabetes Mellitus by Advanced Robust Control Solution by Levente Kovacs, Gyorgy Eigner, Mate Siket, Laszlo Barkai

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WEBA dataset as the Reflection of Work content effect on Workload perception in Real life Working conditions by Tuan-anh Tran, György Eigner, János Abonyi, Tamás Ruppert

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Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions by Tuan-Anh Tran, Tamas Ruppert, Gyorgy Eigner, Janos Abonyi

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Enhancing Brain Tumor Diagnosis with L-Net: A Novel Deep Learning Approach for MRI Image Segmentation and Classification by Lehel Dénes-Fazakas, Levente Kovács, György Eigner, László Szilágyi

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Enhanced U-Net for Infant Brain MRI Segmentation: A (2+1)D Convolutional Approach by Lehel Dénes-Fazakas, Levente Kovács, György Eigner, László Szilágyi

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Receding Horizon Control of Type 1 Diabetes Mellitus by Using Nonlinear Programming by Hamza Khan, József K. Tar, Imre Rudas, Levente Kovács, György Eigner

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Extension of HAAS for the Management of Cognitive Load by Abdulrahman K. Eesee, Szilard Jasko, Gyorgy Eigner, Janos Abonyi, Tamas Ruppert

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Advancing Medical Assistance: Developing an Effective Hungarian-Language Medical Chatbot with Artificial Intelligence by Barbara Simon, Ádám Hartveg, Lehel Dénes-Fazakas, György Eigner, László Szilágyi

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Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals by Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, Levente Kovács, György Eigner

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State and Parameter Estimation of a Mathematical Carcinoma Model under Chemotherapeutic Treatment by Máté Siket, György Eigner, Dániel András Drexler, Imre Rudas, Levente Kovács

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Corrigendum to “Receding Horizon Control of Type 1 Diabetes Mellitus by Using Nonlinear Programming” by Hamza Khan, József K. Tar, Imre Rudas, Levente Kovács, György Eigner

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Goal-oriented possibilistic fuzzy C-Medoid clustering of human mobility patterns—Illustrative application for the Taxicab trips-based enrichment of public transport services by Miklós Mezei, Imre Felde, György Eigner, Gyula Dörgő, Tamás Ruppert, János Abonyi

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Reinforcement Learning: A Paradigm Shift in Personalized Blood Glucose Management for Diabetes by Lehel Dénes-Fazakas, László Szilágyi, Levente Kovács, Andrea De Gaetano, György Eigner

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Goal-oriented possibilistic fuzzy C-Medoid clustering of human mobility patterns-Illustrative application for the Taxicab trips-based enrichment of public transport services. by Miklós Mezei, Imre Felde, György Eigner, Gyula Dörgő, Tamás Ruppert, János Abonyi

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Developing a Health Support System to Promote Care for the Elderly by Marcell Szántó, Lehel Dénes-Fazakas, Erick Noboa, Levente Kovács, Döníz Borsos, György Eigner, Éva-H. Dulf

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Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks by Lehel Dénes-Fazakas, Barbara Simon, Ádám Hartvég, Levente Kovács, Éva-Henrietta Dulf, László Szilágyi, György Eigner

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PlatypOUs—A Mobile Robot Platform and Demonstration Tool Supporting STEM Education by Melinda Rácz, Erick Noboa, Borsa Détár, Ádám Nemes, Péter Galambos, László Szűcs, Gergely Márton, György Eigner, Tamás Haidegger

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