Computed tomography (CT) is used in a wide range of medical imaging diagnoses.
However, the reconstruction of CT images from raw projection data is inherently complex …

Sentiment Analysis (SA) is often referred to as opinion mining. It is defined as the extraction,
identification, or characterization of the sentiment from text. Generally, the sentiment of a …

Video surveillance and activity monitoring are the practical real-time applications of Human
Action Recognition (HAR). A fusion of several Convolutional Neural Network (CNN) …

Fire outbreaks continue to cause damage despite the improvements in fire-detection tools
and algorithms. As the human population and global warming continue to rise, fires have …

The healthcare industry faces significant challenges in patient identification and data
interoperability due to the use of different electronic medical records (EMRs) and variations …

The accurate identification of wheat heads is critical for assessing production and managing
agricultural fields effectively. One major challenge lies in detecting overlapping and small …

The brute-force behavior of High Efficiency Video Coding (HEVC) is the biggest hurdle in the
communication of multimedia content. Therefore, two novel methods will be presented here …

A codec is the most important element of any streaming application like Netflix or YouTube,
but its complexity is increasing with its advancement. The codec, High Efficiency Video …

Although the detection procedure has been shown to be highly effective, there are several
obstacles to overcome in the usage of AI-assisted cancer cell detection in clinical settings …

Sentiment is employed in various fields, such as collecting web-based opinions for the
formulation of governmental policies, measuring employee and customer satisfaction levels …