Deep Learning Models for Identification of COVID-19 Using CT Images

Hand Gesture Recognition in Indian Sign Language Using Deep Learning

“…Some machine learning models used include C-Means (FCM) [12], Support Vector Machine (SVM) [5,11], etc. For deep learning m CNN [7,10,17] and Deep CNN (DCNN) [18] are primarily used as they are best sui working with images. Other deep learning models used include Temporal Residu works [8].…”

“…Preprocessing involves multiple processes, including resizing, cropping, and converting images to a color format applicable to the problem statement. Some color formats commonly used are: Grayscale [2,[6][7][8]16], RGB [9], HSV [12], and YCrCb [11,17]. A combination of one or more of these approaches can also be used to improve performance.…”

“…Proc. 2023, 59, 96 5 of 11 deep learning models, CNN [7,10,17] and Deep CNN (DCNN) [18] are primarily used as they are best suited for working with images. Other deep learning models used include Temporal Residual Networks [8].…”

Classification of COVID-19 X-ray images using transfer learning with visual geometrical groups and novel sequential convolutional neural networks

“…The field of DL employs a methodology known as convolution to derive prominent features from input images. The process entails the utilization of convolution kernels or filters that possess shared weights to generate feature maps that exhibit shift invariance [32] . A CNN is a specific type of neural network that uses convolutional operations in at least one of its hidden layers to generate a feature map from the input matrix for that layer, which acts as the input for the next layer [33] .…”