It was mid-October, peak leaf-peeping season in Hanover, New Hampshire, and Chad Markey was on a rare break between clinical rotations during his last year of medical school. He should have been ...

This repository is used to implement first-break (FB) picking task using deep learning. For this purpose, we use a U-net to segment the data as before and after first arrivals.

This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...

Today’s best data science courses offer hands-on experience with Python, SQL, libraries, basic machine learning models and more. A career in data science involves using statistical, computational and ...

The current version of the library is still in early beta, and at this point I would strongly recommend not to use this for any serious projects. It is also very likely that there will be breaking ...

The alternative text for this image may have been generated using AI. Here, we use real-time single-molecule imaging to study the dynamic interplay of DNA supercoiling and DNA loop extrusion by yeast ...

The present work aims to explore the performance of fuzzy system-based medical image processing for predicting the brain disease. The imaging mechanism of NMR (Nuclear Magnetic Resonance) and the ...

Thompson Sampling is an algorithm that can be used to analyze multi-armed bandit problems. Imagine you're in a casino standing in front of three slot machines. You have 10 free plays. Each machine ...