High-decision computed tomography (HRCT) and volumetric CT photos have been used to
evaluate a complicated lung segmentation technique that became built using superior deep …

In the contemporary digital environment, the widespread occurrence of cyber risks requires
implementing proactive strategies to protect sensitive data and maintain the integrity of …

Support vector machines, in the field of machine learning, are supervised learning models
that examine data for classification and regression using learning methods that are …

In the fast-growing sector of cloud computing, users can employ system resources as
needed for data storage and computation. Protecting confidential data is the biggest cloud …

Music streaming services have made it easy to access a wide variety of music, but there is
still room for improvement in customization and emotion-based suggestions. Users often rely …

Modern technology, which includes 5G/6G networks and the Internet of Things (IoT), is
critical for dealing with public health emergencies, as the COVID-19 pandemic has proven …

Colorectal cancer is an important health issue worldwide, demanding accurate and fast
diagnostic measures to reduce its impact. Traditional image processing algorithms …

Because of the wide range of colours and textures present in visual landscapes, fire
detection is a challenging undertaking. To get over this issue, several fire image …

The current manual process of registering and renewing bus passes is problematic for
passengers, but a real-time effort called PTC Registration and Renewal will help. In addition …

When the number of instances falls unevenly into the several recognised categories, we say
that we have an imbalanced classification problem. There can be a small bias in the …