(a) The 2D materials were transferred to the in situ mechanical testing device using wet transfer and dry transfer techniques. (b) AFM nanoindentation mechanical testing of 2D material, the 2D ...

Medical image segmentation is vital for accurate diagnosis. While U-Net-based models are effective, they struggle to capture long-range dependencies in complex anatomy. We propose GH-UNet, a ...

Genomic selection (GS) can accomplish breeding faster than phenotypic selection. Improving prediction accuracy is the key to promoting GS. To improve the GS prediction accuracy and stability, we ...

To address the difficulties in fusing multi-mode sensor data for complex industrial machinery, an adaptive deep coupling convolutional auto-encoder (ADCCAE) fusion method was proposed. First, the ...

Convolution filters are a fundamental building block in image processing and computer vision. They are used to extract specific features from an image by applying a small matrix of numbers, called the ...

The 2D to 2D Deep-Learning Emulator (2Dto2D-DLE) is a Python code that builds and trains convolutional neural networks, which map multi-channels 2D gridded inputs to ouputs and capture spatial ...

AI Source separator written in C running a U-Net model trained by Deezer, separate your audio input to Drum, Bass, Accompaniment and Vocal/Speech with Spleeter model. The network accepts 2 channels ...

Recently, the use of deep neural networks in solving scientific problems has increased, such as for finding exotic particles in high-energy physics 1 and predicting the sequence specificities of DNA ...