Compared to other biosensing techniques, PRAM lends itself well for incorporating deep learning algorithms because it generates microscope images, rather than just detecting optical signals. But ...

The researchers tested the R-C-D-F method on various real tunnel face images, achieving remarkable accuracy rates ranging from 97% to 99.4%. Notably, 100% of joint bands were successfully removed ...

In the Age of AI, many health care providers dream of a digital assistant, unencumbered by fatigue, workload, burnout or ...

Posted in Machine Learning Tagged cnn, CTC, cw, lstm, machine learning, morse, SNR, tensorflow ← Review: SanErYiGo SH72 Soldering Iron Hackaday Belgrade Early Bird Tickets On Sale Right Now → ...

With additional images, the accuracy of their machine learning program increased from around 90% to almost 99%.

The study, "A generalizable and accessible approach to machine learning with global satellite imagery," was published today (Tuesday, July 20) in the journal Nature Communications.