Emerging Technologies for Healthcare. Группа авторов

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СКАЧАТЬ 2.4 Deep learning models for bioimaging.Table 2.5 Deep learning models for biomedical imaging area.Table 2.6 Deep learning models for human-machine interface area.Table 2.7 Deep learning models for HMS and public care.

      2 Chapter 4Table 4.1 Differences between security and privacy [1].Table 4.2 Common biometric traits [17].

      3 Chapter 8Table 8.1 Personality characteristics for corresponding baseline level [5].Table 8.2 Personality characteristics for writing slant [5].Table 8.3 Position of t bar and traits.Table 8.4 Personality traits for corresponding space between words [6].Table 8.5 Personality traits for corresponding space between words [6].Table 8.6 Comparison table for personality analysis using various machine learni...Table 8.7 Comparison table for writer identification using various machine learn...

      4 Chapter 9Table 9.1 Risk factors involved in ASD.Table 9.2 Technological interventions for autism.Table 9.3 Sensitivity of various assistive technologies.Table 9.4 Softwares available for diagnosis.Table 9.5 Categorization of activation in different regions of brain.Table 9.6 Type of activity and color coding.

      5 Chapter 10Table 10.1 Data attribute information.

      6 Chapter 11Table 11.1 Summary of automated ASD investigation techniques based on EEG signal...Table 11.2 Comparison of performance of the pre-trained deep learning–based netw...

      7 Chapter 12Table 12.1 Summary of results by previous authors.

      8 Chapter 15Table 15.1 Comparison in between bone grafting and bone scaffold [2, 15].

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