Abstract: This work introduces SeismoNet, a deep learning (DL) framework designed to isolate the source earthquake signal from noisy components on the time–frequency representation (TFR) plane.
In this Deep Dive episode, investigators explain how math and frequency analysis provided the strongest clues about MH370’s fate. By studying satellite signals, experts traced the aircraft’s likely ...
More than three decades after the horrific slayings of four teenage girls at an Austin frozen yogurt shop, police said they finally have a definitive culprit. The Austin Police Department announced ...
With nearly 5 billion people flying each year, medical emergencies in the air may be more common than most realize and they can be deadly. A new study led by Duke Health researchers analyzed more than ...
Scientists at Cambridge University and Jerusalem's Hebrew University selected the problem to pose to ChatGPT because of its non-obvious solution. Since Plato's writing 2,400 years ago, scholars have ...
Shares of Cipher Mining Inc. (NASDAQ: CIFR) continue to drop Friday. The shares remain under pressure. They have lost more than 25% of their value in just three days. The chart of Cipher illustrates ...
Abstract: In inductors for power electronics, the driving source frequency increases to MHz range by applying new semiconductors (GaN/SiC). To represent the high frequency (HF) response of the ...
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