2 天前 - … Real-time testbed:To ensure accuracy in the spectrum detection, the machine learning
… features in machine learning classification approaches to predict the spectrum holes in …

5 天前 - … of a gravitational wave (GW) from a binary black hole (BBH) merger in 2015 … detector
background [32]. To meet the challenges of advanced detector systems, machine learning …

5 天前 - … hosting an accreting supermassive black hole in their center) … redshifts for X-ray-detected
AGN using only one dataset … from CircleZ, a machine learning algorithm based on a …

13 天前 - … , Spiny Whitefly, Powdery Mildew, Shot Hole, Yellow Dragon, Yellow Leaves, and …
research in machine learning-based plant disease detection. Top machine learning scientists …

15 天前 - … These absence detectors can be thought of as holes in the uncovered areas.
This … geology, machine learning, and natural heuristic methods. The result is the V-detector-…

16 天前 - … of a 3-𝜑30 hole blanking die using a … machine learning techniques have been
actively implemented in the metal forming sector. Especially, a wide range of anomaly detection …

18 天前 - … Machine learning and AI techniques are particularly valuable in damage detection
and … of the damaged structure by cracks and holes with their respective variations), each …

19 天前 - … Supervised machine learning are algorithms that require … of machine learning,
supervised learning automatically … through identification of small exit holes on surfaces. However, …

20 天前 - … use of machine learning and deep learning techniques … black hole binaries (SMBHBs)
is not detected, so it is one … of multiple supermassive black hole binaries at different times …

24 天前 - … methods, machine learning algorithms, and … hole (SMBH) with mass M BH ≈ 10
8 solar mass. But, intriguingly, no host galaxy associated with the theorized SMBH is detected …