A Hybrid Deep Learning Framework for Automatic Detection of Brain Tumours Using Different Modalities
Abstract: Nowadays, deep convolutional neural networks (DCNNs) are the focus of substantial research for classification and detection applications in medical image processing. However, the limited ...
Abstract: Activity recognition from multiple sensors is a promising research area with various applications for remote human activity tracking in surveillance systems. Human activity recognition (HAR) ...
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