… In this respect, indirect detection methods are usually based on looking for a specific, phys…
In this paper I present an indirect detection method based on machine learning. I create a …

… and failure identification or self-learning on well design tools, … to early lost circulation
detection and helped minimized … issues such as bit and bottom hole balling and vibration. The …

… The problem of hole detection and hole filling has been around for a long time in … of holes,
this can be a very daunting task [1]. There is a great deal of necessity to detect these holes in …

… binary combinations of Black Hole and Neutron Stars … epochs, since a fast detection of small
variations in brightness, over … One of the approaches to this task is to compare the detected …

… bottom hole. Our objective is to use the typically available data to train a machine-learning
(… be applied to other wells in the area of interest, where down-hole readings are unavailable. …

… At the same time, traditional machine learning algorithms are … of machine vision and the
YOLOv5 deep learning model to … a machine-vision-based screw-hole localization detection …

… detection of CHs from AIA images is an important issue and recently, a few contour and
machine learning… of non-coronal hole inside a coronal hole region during contour evolution. The …

… of the dielectric and the substrate, pin holes are sometimes created in the insulator around
the … Pin holes may also be the result of impurities inside the insulator or the deposition method …

… machine learning techniques to counter network intrusion under categories such as supervised
learning, unsupervised learning, probabilistic learning, … that implement machine learning …

… , hole detection. The main objectives of this work were focused on assisting with blast-hole
detection for … At present, almost all mines still require a large amount of manpower during hole …