Bacteria are sneaky. They stick together and form colonies on surfaces. This teamwork makes it tough to fight infections. Why? Because these bacterial colonies are like secret societies. They have rules and structures that are hard to figure out, especially when there are multiple types of bacteria involved. Scientists are working on new ways to understand these bac...
Robots are stepping into the strawberry fields to help with grading. This task is usually done by hand, but robots could make it faster and gentler on the fruit. The key to grading strawberries is getting their weight right. So, how do these robots figure out the weight of a strawberry? First, let's talk about the data. A bunch of strawberry pictures were taken usin...
Infrared and visible light image fusion is a hot topic in computer vision. It's all about combining the strengths of both types of images to get a better overall picture. Traditional methods have had some issues. They often struggle with extracting all the important features, lose detailed textures, and don't make the most of the unique and shared information in the ...
The car rental business is booming, but so are the problems that come with it. One big headache is when customers don't follow the rules, leading to money lost, cars sitting idle, and poor service. To tackle this, a fresh idea has emerged. It's a system that uses fancy tech to spot trouble before it happens. This system is like a smart guardian for car rental co...
Kidney disease is a big deal worldwide. It causes permanent damage to the kidneys. Doctors often have to do invasive tests to check how bad it is. One key thing they look for is something called interstitial fibrosis and tubular atrophy, or IFTA. It is a big part of managing kidney disease. But what if there was a less invasive way to predict IFTA? That is where mach...
Image classification with multiple labels is like trying to find all the hidden objects in a single picture. Most researchers flatten 2D images into 1D lines to find patterns, but this approach can miss important details about where things are in the image. This is where the Dual Relation Transformer Network (DRTN) comes in. DRTN is a new system that tackles these is...
Imagine trying to teach a computer to understand medical images, but you don't have enough examples to show it. This is a big challenge in medical image segmentation, where computers try to identify specific parts of an image. One solution is semi-supervised learning, where the computer can learn from both labeled and unlabeled data. Medical image segmentati...
Air pollution is a big deal. It affects our health and the environment. To keep track of it, we need good sensors. But these sensors can be expensive and not everywhere. So, cheaper sensors are used to fill in the gaps. But these cheaper sensors aren't always accurate. That's where AI and machine learning come in. They can help make these cheap sensors more reliable....
Saudi Arabia is grappling with a growing number of Type 2 Diabetes (T2D) cases. This health issue is incredibly important because it affects many lives. Knowing when someone is likely to develop T2D can help doctors act early, which might prevent many health problems. Researchers at King Abdulaziz Medical University Hospital did a study to see if they could predict w...
Breast cancer grades, which are determined by cell structure, are crucial for planning treatment. Many researchers rely on deep learning (DL) models for this task. However, DL models can be a bit of a mystery. It's unclear which features they use to make accurate predictions. A recent study introduced a new model called Grade Differentiation Integrated Model (GradeDi...