The world of image encryption just got a serious upgrade. A new method has been developed that combines chaotic synchronization and artificial neural networks (ANNs) with the classic One-Time Pad (OTP) algorithm. This mix creates a powerful tool for keeping images safe. The new plan uses chaotic synchronization. This is like having a super complex lock that changes ...
Cancer is a major health issue worldwide, largely due to the rapid spread of abnormal cells. These cells often form tumors, like carcinomas, which come from epithelial cells growing out of control. Tumors release growth factors such as FGF and VEGF. These factors help new blood vessels form, a process called angiogenesis. This process is crucial for tumor growth and ...
In the world of artificial intelligence, keeping systems secure is a big deal. One method that's gaining traction is called Randomized Smoothing. It's all about making AI models more robust against sneaky attacks. Recently, using multiple Deep Neural Networks together has shown great results. But, there's a catch. It's super expensive in terms of computation. Plus, t...
Quantum computing is making waves in the world of image recognition. A new approach uses a special type of quantum neural network to tackle a classic problem: sorting handwritten digits from the MNIST dataset. This isn't your average neural network. It's a modularized quantum neural network, or mQNN for short. The mQNN takes input data and turns it into quantum i...
Water is a superstar in the world of chemistry. It's everywhere, and it's great at breaking down molecules in a process called hydrolysis. This happens all the time in nature and in labs. But predicting how water will react with different substances is tricky. Small changes in a molecule can make a big difference. Plus, the acidity or basicity of the water can change...
Uniform point sets are essential in many fields. They are used in experiments, graphics, and finance. These sets need to have low discrepancy, which means the points are spread out evenly. Recent studies have shown that using Graph Neural Networks and optimization can create point sets with much lower discrepancy than before. However, there is a new approach that co...
Cryptocurrencies have become a hot topic in finance, offering plenty of room for research. Predicting their prices accurately is a big deal for both researchers and investors. However, the unpredictable nature of cryptocurrency markets makes this a tough job. Many studies have tried to use deep learning to forecast crypto prices. Three major cryptocurrencies, Bitcoin...
Deep learning is shaking up the world of brain mapping. This technology is making it easier to see what's going on inside our brains. It's all about a technique called Quantitative Susceptibility Mapping (QSM). This method uses magnetic resonance imaging (MRI) to create detailed maps of brain tissue. These maps can help doctors understand and treat neurological disea...
Medical image classification has seen a huge boost from deep convolutional neural networks (CNNs). These networks are like super-smart detectors that can spot patterns in medical images. However, there are two big hurdles to overcome. First, medical data from different places isn't always the same. This is because each hospital or clinic might have different types of...
Imagine teaching a machine to understand the world by watching a continuous stream of videos. This is not as simple as it sounds. The data is always changing, making it hard to learn effectively. But, there are unique chances to create useful representations that match the flow of information. This is where the idea of motion-conjugated feature representations comes ...