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Scalable, dynamic and growing hardware self-organizing architecture for real-time vector quantization., , , , and . ICECS, page 1-4. IEEE, (2020)Hedi: Multi-width fixed-point coding based on reprogrammable hardware implementation of a multi-layer perceptron neural network for alertness classification., , , and . ISDA, page 610-614. IEEE, (2010)A Multi-Application, Scalable and Adaptable Hardware SOM Architecture., , , , and . IJCNN, page 1-8. IEEE, (2019)Automatic Detection of Drowsiness in EEG Records Based on Machine Learning Approaches., , , , and . Neural Process. Lett., 54 (6): 5225-5249 (2022)Efficient Generalized Electroencephalography-Based Drowsiness Detection Approach with Minimal Electrodes., , , , and . Sensors, 24 (13): 4256 (July 2024)Discrete Wavelet Transform Coefficients for Drowsiness Detection from EEG Signals., , , , and . DTTIS, page 1-6. IEEE, (2023)CNN-based classification of epileptic states for seizure prediction using combined temporal and spectral features., , , , , and . Biomed. Signal Process. Control., (April 2023)FPGA-Targeted Neural Architecture for Embedded Alertness Detection., and . Artificial Intelligence and Applications, page 199-204. IASTED/ACTA Press, (2006)LVQ neural network optimized implementation on FPGA devices with multiple-wordlength operations for real-time systems., , , and . Neural Comput. Appl., 29 (2): 509-528 (2018)New Hardware Architecture for Self-Organizing Map Used for Color Vector Quantization., , , and . Journal of Circuits, Systems, and Computers, 29 (1): 2050002:1-2050002:35 (2020)