An intelligent learning-based watermarking scheme for outsourced biomedical time series data

Keyphrases

• Approximation Coefficients 25%
• Biomedical Field 25%
• Challenging Issues 25%
• Clinical Time Series 100%
• Communication Channels 25%
• Conventional Techniques 25%
• Data Synchronization 25%
• Data-centric 25%
• Decoding Performance 25%
• Electroencephalography Data 25%
• Frequency Coefficient 25%
• Healthcare Field 25%
• Intelligent Learning 100%
• Learning Algorithm 25%
• Learning-based 100%
• Legal Ownership 25%
• Low-pass Filtering 25%
• Machine Learning Algorithms 25%
• Modified Frequency 25%
• Modulation Relationship 25%
• Noise Addition 25%
• Outsourced Data 25%
• Protection Mechanism 25%
• Random Cropping 25%
• Resampling 25%
• Right Protection 25%
• Rule-based 25%
• Shared Dataset 25%
• Signal Processing Techniques 25%
• Support Vector Data Description 25%
• Time Series Data 100%
• Watermarking 100%
• Watermarking Scheme 100%
• Wavelet Domain 50%

Computer Science

• Approximation (Algorithm) 50%
• Data Description 50%
• Data Mining 50%
• Data Synchronization 50%
• Decoding Performance 50%
• Experimental Result 50%
• Frequency Coefficient 50%
• Imperceptibility 50%
• Learning Algorithm 50%
• Machine Learning Algorithm 50%
• Noise Addition 50%
• Outsourced Data 50%
• Protection Mechanism 50%
• Support Vector 50%
• Time Series Data 100%
• Watermarked Data 50%
• Watermarking 50%
• Watermarking Scheme 100%
• Wavelet Domain 100%