Skin cancer diagnosis often relies on image segmentation as a crucial aid, and a high-
performance segmentation can lower misdiagnosis risks. Part of the medical devices often …

Biomass to coal-like hydrochar via hydrothermal carbonization (HTC) is a promising route
for sustainability development. Yet conventional experimental method is time-consuming …

Nowadays, air pollution has become one of the most serious environmental problems facing
humanity and an inescapable obstacle limiting the sustainable development of cities and …

The analysis of breast cancer using Ultrasounds, Magnetic resonance imaging (MRI), and
Mammogram images plays a crucial role in the early detection of breast tumors in women …

Forecasting the ocean dynamics is a critical issue for a wide array of climate extremes and
environmental crisis. The dynamic variations are traditionally approached by relying on …

Unmanned aerial vehicles are being used increasingly in a variety of applications. They are
more and more often operating in close proximity to people and equipment. This …

In this paper, we propose an improved version of Twin SVM using a non-smooth
optimization method. Twin SVM generally consists in determining two non-parallel planes by …

The escalating prevalence of cybersecurity risks calls for a focused strategy in order to attain
efficient resolutions. This study introduces a detection model that employs a tailored …

Nowadays, automatic modulation classification (AMC) has become a key component of next-
generation drone communication systems, which are crucial for improving communication …

Atmospheric turbulence is one of the main issues causing image blurring, dithering, and
other degradation problems when detecting targets over long distances. Due to the …