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Titlebook: Advances in Robotics, Automation and Data Analytics; Selected Papers from Jessnor Arif Mat Jizat,Ismail Mohd Khairuddin,Gian Conference pro

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Review on Motor Imagery Based EEG Signal Classification for BCI Using Deep Learning Techniques, newly designed classification techniques. How the EEG signals are analyzed in each and every phase of its processing is also explained along with its accuracy. This paper reviewed various approaches, pre-processing techniques, the dataset used for classification of MI task from the EEG Signal.
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Deep Learning Techniques for Breast Cancer Diagnosis: A Systematic Review,ey works which uses images from various modalities such as screen film mammography digital mammography, ultrasound, magnetic resonance imaging, digital breast tomosynthesis. This review provides an overview of all the deep learning models used for breast cancer classification of images from various modalities.
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Fernando Miranda,M. Irene Falcãoith biomedical applications and MEMS fabrication standards. In addition, the effects of such variations on the resonant frequency and quality factor are investigated. The findings of this paper present a simple approach to achieve different design requirements of planar LC circuits in WPT applications.
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Development of Colorization of Grayscale Images Using CNN-SVM,the final stage. The proposed algorithm was implemented using Python with Keras and Tensorflow libraries in Google Colab. Results showed that the proposed system could predict the colored image from the training process’s learning knowledge. A survey was then conducted to validate our findings.
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Design of Inductor-Capacitor Circuits for Wireless Power Transfer for Biomedical Applications,ith biomedical applications and MEMS fabrication standards. In addition, the effects of such variations on the resonant frequency and quality factor are investigated. The findings of this paper present a simple approach to achieve different design requirements of planar LC circuits in WPT applications.
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