Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

I followed a Bob Ross Painting tutorial but instead of using paintbrushes, I used a bunch of random objects like a Snickers bar, a bag of Cheetos, and a toy car. Needless to say it didn't go fantastic ...

Ever wonder how to make a tiny, realistic sword for a character no one knows? Or a glowing potion bottle for a one-off scene? We're here to provide the cosplay tutorials nobody asked for. These are ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

Abstract: Distributed detection over decentralized baseband architectures has emerged as an important problem in the uplink massive MIMO systems. In this paper, the classic Kaczmarz method is fully ...

ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...

High-quality random number generators are required for various applications such as cryptography, secure communications, Monte Carlo simulations, and randomized algorithms. Existing pseudorandom ...

Ethereum researcher “Malik672” has proposed a solution to democratize Ethereum’s block proposer process, which they claim would also eliminate MEV at the block level. An Ethereum researcher has ...

The proposal suggests implementing a shared random algorithm to eliminate Maximal Extractable Value (MEV) at the block level and distribute block construction more equitably across the network. An ...

To evaluate if VI-RADS can distinguish between non-muscle-invasive bladder cancers (NMIBC), muscle-invasive bladder cancer (MIBC), and high-risk non-muscle-invasive bladder cancers (HR-NMIBCs). It is ...