Titlebook: Fundamentals of Electronic Devices and Circuits; G.S. Tomar,Ashish Bagwari Textbook 2020 Springer Nature Singapore Pte Ltd. 2020 Electroni

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Emotion Recognition from Physiological Signals Using Continuous Wavelet Transform and Deep Learning proposes a four-class multimodal approach for emotion recognition based on peripheral physiological signals that uniquely combines a Continuous Wavelet Transform (CWT) for feature extraction, an overlapping sliding window approach to generate more data samples and a Convolutional Neural Network (CN

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Advanced Real Time Monitoring System and Simulation Researches for Earthquakes and Tsunamis in Japan,mis, we recognized the importance of real time monitoring on the natural hazards. Monitoring systems using multi kinds of sensors such as the accelerometer, broadband seismometer, pressure gauge, difference pressure gauge, hydrophone and thermometer is indispensable not only for mitigation of damage

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Postacute Neuropsychological Rehabilitationever existed. By combining advanced photogrammetry and 3D modelling techniques, the model was created from the images in the text and compared with other designs of the tower. The second part of the workflow is the design of an augmented reality app to make the model of the tower navigable in 3D and available to the public.