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A fuzzy recurrent neural network for driver fatigue detection based on steering-wheel angle sensor data., , , , , и . IJDSN, (2019)Light-adaptive face registration based on drivers' video., , , и . ICCI*CC, стр. 373-376. IEEE Computer Society, (2016)A Finger Vein Liveness Detection System Based on Multi-Scale Spatial-Temporal Map and Light-ViT Model., , , , , и . Sensors, 23 (24): 9637 (декабря 2023)A new biological visual cognitive behavioural modeling for video energy computing., , , и . ICCI*CC, стр. 370-372. IEEE Computer Society, (2014)Bio-Inspired Approach for Image Vehicle Detection under low Illumination., , , и . Int. J. Robotics Autom., (2020)A Novel Learning Model of Driver Fatigue Features Representation for Steering Wheel Angle., , , и . IEEE Trans. Veh. Technol., 71 (1): 269-281 (2022)Automatic Detection of Driver Fatigue Using Driving Operation Information for Transportation Safety., , , и . Sensors, 17 (6): 1212 (2017)A Method for Identifying Fatigue State of Driver's Face Based on Improved AAM Algorithm., , , , и . Int. J. Softw. Sci. Comput. Intell., 9 (2): 31-49 (2017)A fusion approach based on infrared finger vein transmitting model by using multi-light-intensity imaging., , , и . Hum. centric Comput. Inf. Sci., (2017)Identification of finger vein using neural network recognition research based on PCA., , , и . IEEE ICCI*CC, стр. 456-460. IEEE Computer Society, (2017)