Remote sensing images often suffer from color distortion, which can pose significant challenges for accurate data interpretation. To overcome this issue, this study developed a new approach called the ...

Early detection of suicide risk plays a vital role in improving mental health care outcomes, especially for individuals suffering from depression. Traditional methods, such as clinical interviews, are ...

With the proliferation of online platforms, recommendation systems have become essential tools for providing relevant information to users. Traditional recommendation methods often rely on a single ...

With the development of convolutional neural networks (CNN) across various domains, the growth in network structure complexity and computational load has increasingly become a research focus in the ...

Accurate localization of picking points and depth estimation is critical for implementing a robotic strawberry harvesting system. Due to the delicate nature of strawberries, harvesting must be ...

In this study, we have proposed a convolutional neural network-based deep ensemble architecture that can segment the three different types of retinal cysts from the retinal OCT images. The ...

From convolution to classification — here’s how the architecture of CNNs is structured and why it works. #CNNArchitecture #ComputerVision #AI Trump administration suspends enforcement of Biden ...