Within the domain of image processing, a wide array of methodologies is dedicated to tasks
including denoising, enhancement, segmentation, feature extraction, and classification …

Artificial intelligence (AI), machine learning (ML), and data science are leading to a
promising transformative paradigm. ML, especially deep learning and physics-informed ML …

Airborne particulate matter pollution is a global health problem that affects people from all
demographics. To reduce the impact of such pollution and enable mitigation and policy …

Nozzles are ubiquitous in agriculture: they are used to spray and apply nutrients and
pesticides to crops. The properties of droplets sprayed from nozzles are vital factors that …

Clarifying the influence of fuel properties on engine operating processes is a critical
technology reserve for future fuel-engine synergistic development. In this study, the in …

Spray strategies contribute to the overall engine efficiency, combustion process, and
reduction of pollutant formation in internal combustion engines with direct rail injection …

Insulators are essential equipment to ensure the safety and reliability of power transmission
systems. Defective insulators may cause partial discharge and even lead to serious safety …

Image denoising plays a crucial role as a preliminary step in medical image analysis,
facilitating accurate illness diagnosis and therapy in the context of ultrasound images …

Diffuse background illumination (DBI) is applied to analyze a cold, nonevaporating spray
from a twin-fluid atomizer at typical atmospheric conditions. The DBI technique presented in …

Combustion science has been a classical science since human beings learned to drill wood
to make fire. Through the first and second industrial revolutions, the combustion science has …