The classification of insect pests is a critical task in agricultural technology, vital for ensuring
food security and environmental sustainability. However, the complexity of pest …

Image classification is a cornerstone of computer vision and plays a crucial role in various
fields. This paper pays close attention to some traditional deep-learning approaches to …

Deep Learning (DL) has recently emerged as a pivotal tool in a wide variety of agricultural
end-level applications. While promising outcomes have been achieved in crop disease …

Deep learning has witnessed revolutionary successes in the area of Synthetic Aperture
Radar (SAR) image classification. However, most of the existing methods do not perform …

This paper presents a multi-perspective convolutional neural network (CNN) that extracts the
class of objects supporting intelligent transportation systems. The proposed model is the …

AInsectID Version 1.1, is a GUI operable open-source insect species identification, color
processing and image analysis software. The software has a current database of 150 insects …

Human monkeypox (MPX) is the deadliest infection that transmits from person to person by
direct interaction with animals, bodily fluids, coughing or sneezing, and infected things such …

To effectively fuse the high-dimensional features and make full use of the contribution of
different classifiers to image classification, we propose a polarimetric synthetic aperture …

In recent years, the combination of convolutional neural network (CNN) and transformer has
become a trend. CNN is good at capturing local information, while transformer is good at …

Automated disassembly of discarded smartphones is a critical step in electronic waste
processing, yet existing automated systems often lack adaptability when handling various …