Cloud cover assessment is crucial for meteorology, Earth observation, and environmental
monitoring, providing valuable data for weather forecasting, climate modeling, and remote …

The spread of fake news has become a critical problem in recent years due extensive use of
social media platforms. False stories can go viral quickly, reaching millions of people before …

Abstract Convolutional Neural Networks (CNNs) have been central to the Deep Learning
revolution and played a key role in initiating the new age of Artificial Intelligence. However …

Spiking neural networks (SNNs), as the brain-inspired neural networks, encode information
in spatio-temporal dynamics. They have the potential to serve as low-power alternatives to …

In this paper, we present a comparative study of modern semantic segmentation loss
functions and their resultant impact when applied with state-of-the-art off-road datasets …

Colony-Forming Unit (CFU) counting is a complex problem without a universal solution in
biomedical and food safety domains. A multitude of sophisticated heuristics and …

Semantic segmentation finds wide-ranging applications and stands as a crucial task in the
realm of computer vision. It holds significant implications for scene comprehension and …

Advancements in indoor autonomous vision systems (IAVSs) underscore the need to bridge
the gap between their capabilities and human perception of real-world scenes. This paper …

Circuits on different layers in a printed circuit board (PCB) must be aligned according to high-
precision fiducial mark images during exposure processing. However, processing quality …

Effectively managing the quality of iron ore is critical to iron and steel metallurgy. Although
quality inspection is crucial, the perspective of sintered surface identification remains largely …