تصفح Computer Science & Engineering حسب الموضوع "feature extraction"
السجلات المعروضة 1 -- 6 من 6
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A Comparative Study of Machine Learning Approaches for Handwriter Identification
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)During the past few years, writer identification has attracted significant interest due to its real-life applications including document analysis, forensics etc. Machine learning algorithms have played an important role ... -
Adaptive Prediction Models for Data Center Resources Utilization Estimation
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Accurate estimation of data center resource utilization is a challenging task due to multi-tenant co-hosted applications having dynamic and time-varying workloads. Accurate estimation of future resources utilization helps ... -
Automated class-based compression for real-time epileptic seizure detection
( IEEE Computer Society , 2018 , Conference Paper)The emergence of next generation wireless networking technologies has motivated a paradigm shift in development of viable mobile-Health applications for ubiquitous real-time healthcare monitoring. However, remote healthcare ... -
Classification for Imperfect EEG Epileptic Seizure in IoT applications: A Comparative Study
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Epileptic seizure detection could be detected through investigating the electroencephalography (EEG), which is deemed to be very important for IoT wearable sensor-based health systems. EEG-based classification is crucial ... -
Effectiveness of combined time-frequency imageand signal-based features for improving the detection and classification of epileptic seizure activities in EEG signals
( IEEE , 2014 , Conference Paper)This paper presents new time-frequency (T-F) features to improve the detection and classification of epileptic seizure activities in EEG signals. Most previous methods were based only on signal features derived from the ... -
Haralick feature extraction from time-frequency images for epileptic seizure detection and classification of EEG data
( IEEE , 2014 , Conference Paper)This paper presents novel time-frequency (t-f) features based on t-f image descriptors for the automatic detection and classification of epileptic seizure activities in EEG data. Most previous methods were based only on ...