Local feature matching has been a critical task in computer vision applications. In the early
days of computer vision, local feature matching relied heavily on detector-based methods …

This study contributes to the Health 4.0 paradigm by enhancing the precision of cell nuclei
detection in histopathological images, a critical step in digital pathology. The presented …

Gender prediction using machine learning algorithms has garnered significant attention in
recent years due to its potential applications in various fields such as marketing, healthcare …

This research addresses the dual challenges of image restoration quality and data privacy in
optical remote sensing. Traditional restoration methods often fall short due to the complex …

Pakistan is a developing country with more than a quarter of its population living under the
poverty line. Data relating to the socioeconomic conditions of the population is scarce and …

A backpack is a type of carried object (CO) widely used for various purposes because of its
practicality. Various valuable items such as wallets, laptops, cameras, and cellphones may …

Grid modernization, the process of upgrading and transforming traditional power grids into
intelligent and dynamic systems, plays a crucial role in optimizing energy systems and …

The COVID-19 pandemic has had a profound impact on societies worldwide, affecting
various aspects of our lives, including healthcare, economy, education, and social …

The development and optimization of drug delivery systems play a crucial role in enhancing
the therapeutic efficacy of drugs. Conventional drug delivery approaches often face …

In the realm of remote sensing images, restoration and privacy preservation stand as dual
challenges. While the intricate characteristics of these images render conventional …