Modern buildings are becoming more intelligent, with sensors monitoring various aspects like temperature and air quality. However, these sensors often fail to capture all necessary data, leading to gaps that can disrupt building management efforts. Researchers recently developed a clever solution to this problem. They trained three types of autoencoder neural networ...
Brain-inspired computers, called Spiking Neural Networks (SNNs), are great for low-power devices like wearables and sensors. But one key part, the leaky time constant (LTC), hasn't been fully studied. The LTC helps these computers process information over time. Scientists tested how changing the LTC affects how well these computers work with different types of data, ...
In the world of medical image analysis, a new tool called X-UNet is making waves. It's designed to help doctors and researchers better understand medical images by focusing on important details and patterns. X-UNet uses a special technique called the CFGC module. This module helps the tool to look at images from different angles and sizes, which is crucial for medic...
Time-based networks, like social media or online shopping platforms, show how connections change over time. Lately, scientists have focused on creating better models to understand these networks. But there's a catch: they haven't paid much attention to the quality of the "wrong" examples used to train these models. In time-based networks, there are two big problems....
Scientists are always looking for better ways to study the brain. One tool they use is called PET scanning. This tool helps them see how different parts of the brain work. But the data from these scans can be tricky to understand. One method to make sense of this data is called spectral analysis. It's like a filter that helps scientists focus on specific brain activ...
Brain-computer interfaces (BCIs) are like translators between our brains and machines. They need to be super accurate to be useful. But, using just one type of model to read brain signals isn't always the best. That's where hybrid models come in. They combine different types of models to get better results. One exciting area is mixing convolutional neural networks (...
Emergency rooms are super busy places. They see a lot of patients, and keeping track of everyone is a big job. Hospitals use digital systems to log patient info, but mistakes happen. At the Bordeaux University Hospital, over 90% of these logs have missing or wrong data. This is mostly because people make typos or the software changes. It's a mess! A team decided to ...
In the world of neural networks, there's a lot of talk about how to make them better. One big issue is the back-propagation algorithm. It's been around for a while, but it has some problems. It can overfit data, which means it learns the noise instead of the actual pattern. It can also have vanishing or exploding gradients, which mess up the learning process. Plus, i...
Sleep apnea is a common but serious health issue. It can lead to major problems if not caught early. This condition is tricky to spot. It needs a smart solution for better treatment. One approach uses brain waves, heartbeats, and breathing patterns together. This mix helps to tell the difference between various types of sleep apnea. The method starts by cleaning up ...
There is a lot of talk about hormones and how they affect our bodies. Growth hormone and testosterone are two big ones. They play a huge role in our health and performance. If something is off with these hormones, it can lead to serious problems. Think about things like fertility issues, cancer, or even tumors in the pituitary gland. It is important to detect th...