What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Firstly, the edges in the cover image are identified using a suitable edge detection method (i.e., using the canny or sobel algorithm), and then the secret data is embedded inside the edge-detected ...

Accordingly, as compared to other pre-trained CNN models, Cataract Net reduces average running time and lowers highly computational cost. For optimization of the proposed network, we utilized an Adam ...

Document image classification has a significant difficulty for the retrieval of digital documents and systems management in recent years. The main goal of this study is to investigate the ...

Defective PCBs can lead to product failures, increased costs, and reliability issues. The idea proposes a machine learning program for the detection and classification of defects in PCBs using a ...

The purpose of this paper is to study the image recommendation algorithm based on deep learning. In this paper, image classification algorithm is firstly studied. LReLU - Softplus activation function ...

It extracts features using pre-trained convolutional neural networks (CNNs), optimizes these features using the Differential Evolution Algorithm (DEA), and classifies images using standard machine ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...