Snow is a highly complicated atmospheric phenomenon that usually contains snowflake,
snow streak, and veiling effect (similar to the haze or the mist). In this literature, we propose …

In this research, an attention-based depthwise separable neural network with Bayesian
optimization (ADSNN-BO) is proposed to detect and classify rice disease from rice leaf …

Fire is one of the most frequent and common emergencies threatening public safety and
social development. Recently, intelligent fire detection technologies represented by …

The domestication of animals and the cultivation of crops have been essential to human
development throughout history, with the agricultural sector playing a pivotal role. Insufficient …

Even though convolutional neural networks have become the method of choice in many
fields of computer vision, they still lack interpretability and are usually designed manually in …

Automatic and accurate lung segmentation in chest X-ray (CXR) images is fundamental for
computer-aided diagnosis systems since the lung is the region of interest in many diseases …

Medical image segmentation is one of the hot issues in the related area of image
processing. Precise segmentation for medical images is a vital guarantee for follow‐up …

This paper presents a novel multi-pooling architecture generated by combining the
advantages of wavelet and max-pooling operations in convolutional neural networks …

Convolutional neural networks (CNNs) can extract shift-invariant features and have been
widely applied in the change detection task. However, common CNN lacks noise robustness …

Commonly used convolutional neural networks (CNNs) usually compress high‐resolution
input images. Although it reduces the computation requirements into a reasonable range …