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Deep learning for Alzheimer's disease diagnosis: A survey
Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a
progressive decline in cognitive abilities. Since AD starts several years before the onset of …
progressive decline in cognitive abilities. Since AD starts several years before the onset of …
Forest fire and smoke detection using deep learning-based learning without forgetting
Background Forests are an essential natural resource to humankind, providing a myriad of
direct and indirect benefits. Natural disasters like forest fires have a major impact on global …
direct and indirect benefits. Natural disasters like forest fires have a major impact on global …
A survey on deep learning based face recognition
Deep learning, in particular the deep convolutional neural networks, has received
increasing interests in face recognition recently, and a number of deep learning methods …
increasing interests in face recognition recently, and a number of deep learning methods …
On fine-tuning deep learning models using transfer learning and hyper-parameters optimization for disease identification in maize leaves
Maize is one of the world's most important food crops, but its cultivation is hampered by
diseases. Rapid disease identification remains a challenge due to a lack of the necessary …
diseases. Rapid disease identification remains a challenge due to a lack of the necessary …
Hyperparameter optimization for transfer learning of VGG16 for disease identification in corn leaves using Bayesian optimization
One of the world's most widely grown crops is corn. Crop loss due to diseases has a major
economic effect, putting the food supply in jeopardy. In many parts of the world, lack of …
economic effect, putting the food supply in jeopardy. In many parts of the world, lack of …
Histopathological image classification with bilinear convolutional neural networks
The computer-aided quantitative analysis for histopathological images has attracted
considerable attention. The stain decomposition on histopathological images is usually …
considerable attention. The stain decomposition on histopathological images is usually …
Canonical correlation analysis networks for two-view image recognition
In recent years, deep learning has attracted an increasing amount of attention in machine
learning and artificial intelligence areas. Currently, many deep learning network-related …
learning and artificial intelligence areas. Currently, many deep learning network-related …
Unsupervised pre-trained filter learning approach for efficient convolution neural network
Abstract The concept of Convolution Neural Network (ConvNet or CNN) is evaluated from
the animal visual cortex. Since humans can learn through experience, similarly, ConvNet …
the animal visual cortex. Since humans can learn through experience, similarly, ConvNet …
Histopathological image classification with color pattern random binary hashing-based PCANet and matrix-form classifier
The computer-aided diagnosis for histopathological images has attracted considerable
attention. Principal component analysis network (PCANet) is a novel deep learning …
attention. Principal component analysis network (PCANet) is a novel deep learning …
A survey on image data analysis through clustering techniques for real world applications
A huge amount of image data is being collected in real world sectors. Image data analytics
provides information about important facts and issues of a particular domain. But, it is …
provides information about important facts and issues of a particular domain. But, it is …