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....
The soybean industry faces a significant threat from Phytophthora root and stem rot, causing massive financial losses globally. Researchers have developed a clever solution using a machine learning model. This model, based on a heterogeneous interaction graph attention network, was trained and tested using a vast dataset of 13, 285 molecular complexes. The goal? To f...
Imagine trying to figure out what makes people stick to exercise routines. A recent study took a deep dive into this question. It used a massive dataset of over 11, 000 entries from a national health survey. The goal? To build models that could predict who would follow physical activity guidelines and who wouldn't. The study didn't just stop at building models. ...
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...
As the world grapples with an energy crisis, predicting solar radiation (SR) accurately has become crucial for harnessing renewable energy. Machine Learning (ML) models have stepped up to tackle this challenge with impressive results. One such model, called the Cheetah Optimizer-Random Forest (CO-RF), is making waves. It uses the Cheetah Optimizer to pick the best fe...
Ever wondered how we can make wastewater treatment plants work more efficiently? Scientists have come up with a clever way to predict changes in water quality, which is really important for managing the process and reducing pollution. They combined something called convolutional bi-directional gated recursive units (CBGRUs) with an adaptive bandwidth kernel function ...