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IoT Capabilities Analysis by Using Optimized Machine Learning with Uncertain Traffic Modeling., и . J. Uncertain Syst., 16 (1): 2242005:1-2242005:20 (марта 2023)Study of 2D Feature Extraction Techniques for Classification of Spinocerebellar Ataxia Type 12 (SCA12)., , , , и . MedInfo, том 290 из Studies in Health Technology and Informatics, стр. 670-674. IOS Press, (2021)Sensor cloud virtualisation systems for improving performance of IoT-based WSN., и . Int. J. Wirel. Mob. Comput., 24 (1): 38-47 (2023)Voxel-based morphometry and minimum redundancy maximum relevance method for classification of Parkinson's disease and controls from T1-weighted MRI., , , , , , и . ICVGIP, стр. 22:1-22:6. ACM, (2016)Regions-of-interest based automated diagnosis of Parkinson's disease using T1-weighted MRI., , , , , , и . Expert Syst. Appl., 42 (9): 4506-4516 (2015)Relevant 3D local binary pattern based features from fused feature descriptor for differential diagnosis of Parkinson's disease using structural MRI., , , , , , и . Biomed. Signal Process. Control., (2017)Graph-theory-based spectral feature selection for computer aided diagnosis of Parkinson's disease using T1-weighted MRI., , , , , , и . Int. J. Imaging Syst. Technol., 25 (3): 245-255 (2015)Mechanisms of 1 Hz Inhibitory and 5 Hz Excitatory Repetitive Transcranial Magnetic Stimulations in Parkinson's Disease: A Functional Magnetic Resonance Imaging Study., , , , , и . Brain Connect., 13 (4): 247-263 (мая 2023)A combination of dual-tree discrete wavelet transform and minimum redundancy maximum relevance method for diagnosis of Alzheimer's disease., , , и . Int. J. Bioinform. Res. Appl., 11 (5): 433-461 (2015)A deep analysis of object capabilities for intelligence considering wireless IoT devices with the DNN approach., , и . J. Supercomput., 78 (4): 4745-4758 (2022)