Fatty liver or liver hepatic glycogen is one of the most common disorders of the liver
nowadays. Clinical detection of this disorder by a human expert is increasing as our lifestyle …

Measuring the quality of digital image is a complicated and importance task in image
processing. This task is possible using Image Quality Assessment (IQA) metrics. Among …

The Victoria Amazonica plant, often known as the Giant Water Lily, has the largest floating
spherical leaf in the world, with a maximum leaf diameter of 3 meters. It spreads its leaves by …

In dealing with big data, we need effective algorithms; effectiveness that depends, among
others, on the ability to remove outliers from the data set, especially when dealing with …

The COVID-19 pandemic has profoundly impacted every aspect of our lives, from economic
to the social facets of contemporary society. While the new COVID-19 waves may not be …

By employing artificial intelligence techniques and algorithms such as color and depth
image processing, signal processing, machine learning, evolutionary algorithms and fuzzy …

Volume and mass estimation are two important factors in quality grading for agricultural
products. Using novel automatic volume and estimation systems decreases the human error …

Feature selection can be defined as an optimisation problem and solved by bioinspired
algorithms. The Bees Algorithm (BA) returns great performance in the feature …

One of the most hazardous phenomena in forests is wildfire or bush fire and early detection
of massive damage prevention is vital. Employing Unmanned Aerial Vehicles (UAV) as a …

Accurate detection of brain tumors could save lots of lives and increasing the accuracy of
this binary classification even as much as a few percent has high importance. Neural Gas …